‘Advances in AI and Machine Learning are not scalable without proper data governance program in place’ says Peggy Tsai, Chief Data Officer at BigID

Advances in AI and Machine Learning
Peggy Tsai, Chief Data Officer at BigID talks about BigID’s data intelligence platform and its integrated applications. Read on to know more about her thoughts on GDPR compliance, the future data intelligence landscape and more in her latest interview with Media 7.

It is imperative for data professionals to rely on AI/ML predictive analytics and insights to help manage and govern their data faster and more efficiently.


MEDIA 7: Hi, Peggy, thank you for your time! We are very excited to have you here! Let us begin with you telling us a little bit about BigID. What are the core values that drive the company to be a leader in data intelligence landscape?
PEGGY TSAI:
Thank you for this opportunity! I’m happy to be here as well. BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective.  Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID’s core values for employees help the company to be a leader in the data intelligence space - and these values are Care, Do, Try, Shine. We work hard to innovate and build differentiating offerings in the marketplace for privacy, security and data governance. As BigID’s Chief Data Officer, I am pleased to be a part of the data strategy and innovation in the data governance pillar.


M7: Recently, ServiceNow made a strategic investment in BigID to extend automation and innovation across data. Could you tell our readers about some of the developments that all of you at BigID are excited about?
PT:
Yes, we are very excited about the recent strategic investment from ServiceNow. Along with our other strategic investors such as Salesforce, SAP, HPE, Splunk and Comcast, BigID helps companies and organizations build comprehensive data privacy, security, and governance strategies that allow them to better manage risk and meet increasingly stringent legal compliance standards globally. BigID’s discovery platform builds a unified and consistent layer for the enterprise to apply metadata, tagging and context that can be leveraged for many business use cases. Our integrated applications work with our partners to support data insights and enrichment without leaving the platform.

Read More : Affise’s founder Dimitri Zotov believes that Partner Marketing space will see huge growth in the next few years.


Data and analytics are very versatile skillsets that can be combined with other skillsets to create a unique career profession


M7: Lately, many companies have faced difficulty in keeping pace with GDPR compliance. What are the toughest challenges to international privacy compliance, in your opinion?
PT:
There are many challenges that I observe. First, companies have too many complex data sources and data types that contain personal information. It makes it difficult to identify where they keep PI/PII data and they lack the proper technology to tie the sensitive data to a person or entity. Secondly, companies have disjointed processes to catalog and report on GDPR compliance. This leads to a break in the information that they need to find and subsequently create a Data Subject Access Request (DSAR). They also cannot complete an end-to-end Privacy Impact Analysis because they do not have the trusted information in a single system. Lastly, this definition and scope of private and sensitive data varies across different protection and privacy regulations. Companies must take a flexible multi-prong approach to accurately and comprehensively discover and tag personal data for the variety of regulations that they must comply with. It is not a simple “tag once and it's done” approach given the complexity of data and the different regulations


M7: You have had an exemplary professional journey of over 18 years. Seeing the rapid change in technology and digitalization what future do you predict for the Data intelligence landscape?
PT:
Over the course of my professional career, the scope and complexity of the data management role has changed tremendously. It is no longer a simple data management job. Nowadays, there are additional responsibilities around analytics, data engineering, data literacy and AI/ML. The role must also work closely with the Chief Privacy Officer and Chief Security Officer to comply and secure the company’s most critical data. I do not expect this to decrease in the future, rather grow more in intensity and speed. Therefore, it is imperative for data professionals to rely on AI/ML predictive analytics and insights to help manage and govern their data faster and more efficiently. They need to take a proactive approach to data quality issues and remediation. From a talent pipeline perspective, I also predict that data professionals become increasingly broader in their knowledge and skillset in order to become successful in their role.

Read More : Qualcomm’s John Kehrli says, ‘Our vision is to make all devices increasingly intelligent enabling them the ability to perceive their surroundings


Companies must take a flexible multi-prong approach to accurately and comprehensively discover and tag personal data for the variety of regulations that they must comply with


M7: Corinium Global Intelligence recently named you in their 2022 Global Top 100 Innovators in Data & Analytics Report. What do you believe is your driving force behind your proven track records and achievements?
PT:
I am very fortunate to have received this nomination and to be able to share my insights with the Corinium Global Intelligence audience. I had the absolute pleasure and unique opportunity in the last two years to explore, research, discuss and interrogate with my data & analytics peers. My driving force behind my dedication to data has been my fundamental belief that all data & analytics trends start from strong data governance. Advances in AI and Machine Learning are not scalable without proper data governance program in place. I believe in tying back the fundamentals with the new innovations.


M7: This is the last question but it is an important one for our readers. What is your advice for young women considering a career in data analytics?
PT:
I highly recommend young women to consider a career in data analytics and data governance. There are many different roles and careers in this field that require diverse thinking so it is important to have a place in this industry. Also, I would say this is a high growth and exciting area that transcends all industries. Data and analytics are very versatile skillsets that can be combined with other skillsets to create a unique career profession. I recommend doing your research in this field and then network with other professionals to learn as much as possible throughout your career!

ABOUT BIGID

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape.

More C-Suite on deck

Q&A with Tara Ryan, Chief Marketing Officer at Incorta

Media 7 | April 15, 2020

Tara Ryan, Chief Marketing Officer at Incorta has over 25 years experience and success in global marketing for technology businesses in ERP, mid-market, SMB, security, industry offerings and has driven fast growth for multiple SaaS , IPO and public companies.  Ryan works with executives and board on planning, creation and execution of global branding, communications, sites, field programs, public relations, investor relations and demand generation. MEDIA 7: When did you first start working and what was it? TARA RYAN: My first job for a real paycheck was at 15 when I worked at a deli in Fresno, CA where I grew up. M7: With over 25 years of experience in global marketing for technology companies, how has the demand generation for tech firms evolved, and how do you see it changing in future? TR: Marketing used to be a stand alone, unautomated function and in all honesty, a bit of a mystery. Now marketing is threaded through every single thing we do in business and with technology innovations, there is a real understanding of it, the programs we run, the expected outcomes and even the real time analysis of successes and failures. We used to plan a campaign, process out the creative, media and execution and wait to see effectiveness – now we do all at once. I see the future going back to simplification and less is more. We have added so many tools and ways to analyze.

Read More

HeadSpin's Brien Colwell shows us how humans can work together with AI to create successful systems

Media 7 | November 8, 2021

Brien Colwell, Co-Founder, and CTO at HeadSpin takes us through his journey from being a software engineer to building the world’s first Digital Experience AI Platform. Read on as he talks about Artificial Intelligence and how HeadSpin is helping organizations assure optimal digital experiences across mobile and web delivery channels.

Read More

'Raising the voices of those who may not always be heard is critical,' says Claire Thomas

Media 7 | April 28, 2023

Claire Thomas is responsible for developing and implementing a strategy for diversity, equity, and inclusion (DEI) across Hitachi Vantara through programs that reflect the diverse backgrounds, interests, and passions of their current and future workforce. Continue reading to learn her views on the significance of inclusion and diversity in an organization.

Read More

Q&A with Tara Ryan, Chief Marketing Officer at Incorta

Media 7 | April 15, 2020

Tara Ryan, Chief Marketing Officer at Incorta has over 25 years experience and success in global marketing for technology businesses in ERP, mid-market, SMB, security, industry offerings and has driven fast growth for multiple SaaS , IPO and public companies.  Ryan works with executives and board on planning, creation and execution of global branding, communications, sites, field programs, public relations, investor relations and demand generation. MEDIA 7: When did you first start working and what was it? TARA RYAN: My first job for a real paycheck was at 15 when I worked at a deli in Fresno, CA where I grew up. M7: With over 25 years of experience in global marketing for technology companies, how has the demand generation for tech firms evolved, and how do you see it changing in future? TR: Marketing used to be a stand alone, unautomated function and in all honesty, a bit of a mystery. Now marketing is threaded through every single thing we do in business and with technology innovations, there is a real understanding of it, the programs we run, the expected outcomes and even the real time analysis of successes and failures. We used to plan a campaign, process out the creative, media and execution and wait to see effectiveness – now we do all at once. I see the future going back to simplification and less is more. We have added so many tools and ways to analyze.

Read More

HeadSpin's Brien Colwell shows us how humans can work together with AI to create successful systems

Media 7 | November 8, 2021

Brien Colwell, Co-Founder, and CTO at HeadSpin takes us through his journey from being a software engineer to building the world’s first Digital Experience AI Platform. Read on as he talks about Artificial Intelligence and how HeadSpin is helping organizations assure optimal digital experiences across mobile and web delivery channels.

Read More

'Raising the voices of those who may not always be heard is critical,' says Claire Thomas

Media 7 | April 28, 2023

Claire Thomas is responsible for developing and implementing a strategy for diversity, equity, and inclusion (DEI) across Hitachi Vantara through programs that reflect the diverse backgrounds, interests, and passions of their current and future workforce. Continue reading to learn her views on the significance of inclusion and diversity in an organization.

Read More

Related News

Big Data Management

Amnet Digital announces a launch of Swift Insights, an AI-powered analytics platform help businesses make informed decisions

Amnet Digital | January 10, 2024

Amnet Digital, a leading Data, Analytics & AI solutions company that is powering businesses and automating operations, today officially launched Swift Insights, an AI-powered analytics platform to accelerate businesses with data-driven insights and make informed decisions through intuitive dashboards. In today's groundbreaking AI-led innovation era, Swift Insights assists organizations reinvent their business performance with Gen AI and LLMs to uncover new growth opportunities. With Gen AI at its core, Swift Insights expands its AI-powered analytics platform with closed-loop dashboards and advanced reports that solves key business challenges and elevates decision making authority toward customer acquisition to retention and loyalty. Product Key Features AI Analytics: Predictive and Prescriptive analytics using AIML algorithms. Report Management: Single platform for enterprise data discovery and report management. Decision Making: Make the right decisions at the right time and act fast under dynamic market needs. Business Insights: AI-powered reports with actionable insights. Q&A Analytics: LLM powered instant business related answers from the data. This product launch also expands the offerings with state-of-the-art advanced data security and compliance with greater resilience for business. The platform also enables proactive measures to minimize tech disruptions for scheduled upgrades and patching that means the company will witness less down time. "As we launch Swift Insights, we are excited to bring a transformative solution to businesses and harness the full power of the organizational data. Our AI-powered analytics platform underscores Amnet Digital's commitment to tech innovation and excellence in the Data, Analytics, & AI space" said, Krishna Reddy, CEO at Amnet Digital. Get actionable insights 10x faster from your business data stack! Would you like to see how? Request a demo and see for yourself, with no strings attached. Swift Insights drive and measure company success by the real value which is deliver for the clients, partners, communities, and employees. About Swift Insights Swift Insights is an AI-powered analytics platform that accelerates and transforms your business data into actionable insights to make informed decisions. * Powered by Amnet Digital. About Amnet Digital Amnet Digital is a Data, Analytics & AI solutions company that helps businesses to make data driven decisions and automate IT & business operations. We help customers to realize the higher value of their digital transformation initiatives and drive positive business impact leveraging our Analytics & AI digital accelerators. A winner of the "Telangana State Awards 2023" under Best Services category.

Read More

Big Data

Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

Read More

Data Architecture

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development

SingleStore | January 25, 2024

SingleStore, the database that allows you to transact, analyze and contextualize data, today announced powerful new capabilities — making it the industry’s only real-time data platform. With its latest release, dubbed SingleStore Pro Max, the company announced ground-breaking features like indexed vector search, an on-demand compute service for GPUs/ CPUs and a new free shared tier, among several other innovative new products. Together, these capabilities shrink development cycles while providing the performance and scale that customers need for building applications. In an explosive generative AI landscape, companies are looking for a modern data platform that’s ready for enterprise AI use cases — one with best-available tooling to accelerate development, simultaneously allowing them to marry structured or semi-structured data residing in enterprise systems with unstructured data lying in data lakes. “We believe that a data platform should both create new revenue streams while also decreasing technological costs and complexity for customers. And this can only happen with simplicity at the core,” said Raj Verma, CEO, SingleStore. “This isn’t just a product update, it’s a quantum leap… SingleStore is offering truly transformative capabilities in a single platform for customers to build all kinds of real-time applications, AI or otherwise.” “At Adobe, we aim to change the world through digital experiences,” said Matt Newman, Principal Data Architect, Adobe. “SingleStore’s latest release is exciting as it pushes what is possible when it comes to database technology, real-time analytics and building modern applications that support AI workloads. We’re looking forward to these new features as more and more of our customers are seeking ways to take full advantage of generative Al capabilities.” Key new features launched include: Indexed vector search. SingleStore has announced support for vector search using Approximate Nearest Neighbor (ANN) vector indexing algorithms, leading to 800-1,000x faster vector search performance than precise methods (KNN). With both full-text and indexed vector search capabilities, SingleStore offers developers true hybrid search that takes advantage of the full power of SQL for queries, joins, filters and aggregations. These capabilities firmly place SingleStore above vector-only databases that require niche query languages and are not designed to meet enterprise security and resiliency needs. Free shared tier. SingleStore has announced a new cloud-based Free Shared Tier that’s designed for startups and developers to quickly bring their ideas to life — without the need to commit to a paid plan. On-demand compute service for GPUs and CPUs. SingleStore announces a compute service that works alongside SingleStore’s native Notebooks to let developers spin up GPUs and CPUs to run database-adjacent workloads including data preparation, ETL, third-party native application frameworks, etc. This capability brings compute to algorithms, rather than the other way around, enabling developers to build highly performant AI applications safely and securely using SingleStore — without unnecessary data movement. New CDC capabilities for data ingest and egress. To ease the burden and costs of moving data in and out of SingleStore, SingleStore is adding native capabilities for real-time Change Data Capture (CDC) in for MongoDB®, MySQL and ingestion from Apache Iceberg without requiring other third party CDC tools. SingleStore will also support CDC out capabilities that ease migrations and enable the use of SingleStore as a source for other applications and databases like data warehouses and lakehouses. SingleStore Kai™. Now generally available, and ready for both analytical and transactional processing for apps originally built on MongoDB. Announced in public preview in early 2023, SingleStore Kai is an API to deliver over 100x faster analytics on MongoDB® with no query changes or data transformations required. Today, SingleStore Kai supports BSON data format natively, has improved transactional performance, increased performance for arrays and offers industry-leading compatibility with MongoDB query language. Projections: To further advance as the world’s fastest HTAP database, SingleStore has added Projections. Projections allow developers to greatly speed up range filters and group by operations by introducing secondary sort and shard keys. Query performance improvements range from 2-3x or more, depending on the size of the table. With this latest release, SingleStore becomes the industry’s first and only real-time data platform designed for all applications, analytics and AI. SingleStore supports high-throughput ingest performance, ACID transactions and low-latency analytics; and structured, semi-structured (JSON, BSON, text) and unstructured data (vector embeddings of audio, video, images, PDFs, etc.). Finally, SingleStore’s data platform is designed not just with developers in mind, but also ML engineers, data engineers and data scientists. “Our new features and capabilities advance SingleStore’s mission of offering a real-time data platform for the next wave of gen AI and data applications,” said Nadeem Asghar, SVP, Product Management + Strategy at SingleStore. “New features, including vector search, Projections, Apache Iceberg, Scheduled Notebooks, autoscaling, GPU compute services, SingleStore Kai™, and the Free Shared Tier allow startups — as well as global enterprises — to quickly build and scale enterprise-grade real-time AI applications. We make data integration with third-party databases easy with both CDC in and CDC out support.” "Although generative AI, LLM, and vector search capabilities are early stage, they promise to deliver a richer data experience with translytical architecture," states the 2023 report, “Translytical Architecture 2.0 Evolves To Support Distributed, Multimodel, And AI Capabilities,” authored by Noel Yuhanna, Vice President and Principal Analyst at Forrester Research. "Generative AI and LLM can help democratize data through natural language query (NLQ), offering a ChatGPT-like interface. Also, vector storage and index can be leveraged to perform similarity searches to support data intelligence." SingleStore has been on a fast track leading innovation around generative AI. The company’s product evolution has been accompanied by high-momentum growth in customers and surpassing $100M in ARR late last year. SingleStore also recently ranked #2 in the emerging category of vector databases, and was recognized by TrustRadius as a top vector database in 2023. Finally, SingleStore was a winner of InfoWorld’s Technology of the year in the database category. To learn more about SingleStore visit here. About SingleStore SingleStore empowers the world’s leading organizations to build and scale modern applications using the only database that allows you to transact, analyze and contextualize data in real time. With streaming data ingestion, support for both transactions and analytics, horizontal scalability and hybrid vector search capabilities, SingleStore helps deliver 10-100x better performance at 1/3 the costs compared to legacy architectures. Hundreds of customers worldwide — including Fortune 500 companies and global data leaders — use SingleStore to power real-time applications and analytics. Learn more at singlestore.com. Follow us @SingleStoreDB on Twitter or visit www.singlestore.com.

Read More

Big Data Management

Amnet Digital announces a launch of Swift Insights, an AI-powered analytics platform help businesses make informed decisions

Amnet Digital | January 10, 2024

Amnet Digital, a leading Data, Analytics & AI solutions company that is powering businesses and automating operations, today officially launched Swift Insights, an AI-powered analytics platform to accelerate businesses with data-driven insights and make informed decisions through intuitive dashboards. In today's groundbreaking AI-led innovation era, Swift Insights assists organizations reinvent their business performance with Gen AI and LLMs to uncover new growth opportunities. With Gen AI at its core, Swift Insights expands its AI-powered analytics platform with closed-loop dashboards and advanced reports that solves key business challenges and elevates decision making authority toward customer acquisition to retention and loyalty. Product Key Features AI Analytics: Predictive and Prescriptive analytics using AIML algorithms. Report Management: Single platform for enterprise data discovery and report management. Decision Making: Make the right decisions at the right time and act fast under dynamic market needs. Business Insights: AI-powered reports with actionable insights. Q&A Analytics: LLM powered instant business related answers from the data. This product launch also expands the offerings with state-of-the-art advanced data security and compliance with greater resilience for business. The platform also enables proactive measures to minimize tech disruptions for scheduled upgrades and patching that means the company will witness less down time. "As we launch Swift Insights, we are excited to bring a transformative solution to businesses and harness the full power of the organizational data. Our AI-powered analytics platform underscores Amnet Digital's commitment to tech innovation and excellence in the Data, Analytics, & AI space" said, Krishna Reddy, CEO at Amnet Digital. Get actionable insights 10x faster from your business data stack! Would you like to see how? Request a demo and see for yourself, with no strings attached. Swift Insights drive and measure company success by the real value which is deliver for the clients, partners, communities, and employees. About Swift Insights Swift Insights is an AI-powered analytics platform that accelerates and transforms your business data into actionable insights to make informed decisions. * Powered by Amnet Digital. About Amnet Digital Amnet Digital is a Data, Analytics & AI solutions company that helps businesses to make data driven decisions and automate IT & business operations. We help customers to realize the higher value of their digital transformation initiatives and drive positive business impact leveraging our Analytics & AI digital accelerators. A winner of the "Telangana State Awards 2023" under Best Services category.

Read More

Big Data

Airbyte Racks Up Awards from InfoWorld, BigDATAwire, Built In; Builds Largest and Fastest-Growing User Community

Airbyte | January 30, 2024

Airbyte, creators of the leading open-source data movement infrastructure, today announced a series of accomplishments and awards reinforcing its standing as the largest and fastest-growing data movement community. With a focus on innovation, community engagement, and performance enhancement, Airbyte continues to revolutionize the way data is handled and processed across industries. “Airbyte proudly stands as the front-runner in the data movement landscape with the largest community of more than 5,000 daily users and over 125,000 deployments, with monthly data synchronizations of over 2 petabytes,” said Michel Tricot, co-founder and CEO, Airbyte. “This unparalleled growth is a testament to Airbyte's widespread adoption by users and the trust placed in its capabilities.” The Airbyte community has more than 800 code contributors and 12,000 stars on GitHub. Recently, the company held its second annual virtual conference called move(data), which attracted over 5,000 attendees. Airbyte was named an InfoWorld Technology of the Year Award finalist: Data Management – Integration (in October) for cutting-edge products that are changing how IT organizations work and how companies do business. And, at the start of this year, was named to the Built In 2024 Best Places To Work Award in San Francisco – Best Startups to Work For, recognizing the company's commitment to fostering a positive work environment, remote and flexible work opportunities, and programs for diversity, equity, and inclusion. Today, the company received the BigDATAwire Readers/Editors Choice Award – Big Data and AI Startup, which recognizes companies and products that have made a difference. Other key milestones in 2023 include the following. Availability of more than 350 data connectors, making Airbyte the platform with the most connectors in the industry. The company aims to increase that to 500 high-quality connectors supported by the end of this year. More than 2,000 custom connectors were created with the Airbyte No-Code Connector Builder, which enables data connectors to be made in minutes. Significant performance improvement with database replication speed increased by 10 times to support larger datasets. Added support for five vector databases, in addition to unstructured data sources, as the first company to build a bridge between data movement platforms and artificial intelligence (AI). Looking ahead, Airbyte will introduce data lakehouse destinations, as well as a new Publish feature to push data to API destinations. About Airbyte Airbyte is the open-source data movement infrastructure leader running in the safety of your cloud and syncing data from applications, APIs, and databases to data warehouses, lakes, and other destinations. Airbyte offers four products: Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte. Airbyte was co-founded by Michel Tricot (former director of engineering and head of integrations at Liveramp and RideOS) and John Lafleur (serial entrepreneur of dev tools and B2B). The company is headquartered in San Francisco with a distributed team around the world. To learn more, visit airbyte.com.

Read More

Data Architecture

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development

SingleStore | January 25, 2024

SingleStore, the database that allows you to transact, analyze and contextualize data, today announced powerful new capabilities — making it the industry’s only real-time data platform. With its latest release, dubbed SingleStore Pro Max, the company announced ground-breaking features like indexed vector search, an on-demand compute service for GPUs/ CPUs and a new free shared tier, among several other innovative new products. Together, these capabilities shrink development cycles while providing the performance and scale that customers need for building applications. In an explosive generative AI landscape, companies are looking for a modern data platform that’s ready for enterprise AI use cases — one with best-available tooling to accelerate development, simultaneously allowing them to marry structured or semi-structured data residing in enterprise systems with unstructured data lying in data lakes. “We believe that a data platform should both create new revenue streams while also decreasing technological costs and complexity for customers. And this can only happen with simplicity at the core,” said Raj Verma, CEO, SingleStore. “This isn’t just a product update, it’s a quantum leap… SingleStore is offering truly transformative capabilities in a single platform for customers to build all kinds of real-time applications, AI or otherwise.” “At Adobe, we aim to change the world through digital experiences,” said Matt Newman, Principal Data Architect, Adobe. “SingleStore’s latest release is exciting as it pushes what is possible when it comes to database technology, real-time analytics and building modern applications that support AI workloads. We’re looking forward to these new features as more and more of our customers are seeking ways to take full advantage of generative Al capabilities.” Key new features launched include: Indexed vector search. SingleStore has announced support for vector search using Approximate Nearest Neighbor (ANN) vector indexing algorithms, leading to 800-1,000x faster vector search performance than precise methods (KNN). With both full-text and indexed vector search capabilities, SingleStore offers developers true hybrid search that takes advantage of the full power of SQL for queries, joins, filters and aggregations. These capabilities firmly place SingleStore above vector-only databases that require niche query languages and are not designed to meet enterprise security and resiliency needs. Free shared tier. SingleStore has announced a new cloud-based Free Shared Tier that’s designed for startups and developers to quickly bring their ideas to life — without the need to commit to a paid plan. On-demand compute service for GPUs and CPUs. SingleStore announces a compute service that works alongside SingleStore’s native Notebooks to let developers spin up GPUs and CPUs to run database-adjacent workloads including data preparation, ETL, third-party native application frameworks, etc. This capability brings compute to algorithms, rather than the other way around, enabling developers to build highly performant AI applications safely and securely using SingleStore — without unnecessary data movement. New CDC capabilities for data ingest and egress. To ease the burden and costs of moving data in and out of SingleStore, SingleStore is adding native capabilities for real-time Change Data Capture (CDC) in for MongoDB®, MySQL and ingestion from Apache Iceberg without requiring other third party CDC tools. SingleStore will also support CDC out capabilities that ease migrations and enable the use of SingleStore as a source for other applications and databases like data warehouses and lakehouses. SingleStore Kai™. Now generally available, and ready for both analytical and transactional processing for apps originally built on MongoDB. Announced in public preview in early 2023, SingleStore Kai is an API to deliver over 100x faster analytics on MongoDB® with no query changes or data transformations required. Today, SingleStore Kai supports BSON data format natively, has improved transactional performance, increased performance for arrays and offers industry-leading compatibility with MongoDB query language. Projections: To further advance as the world’s fastest HTAP database, SingleStore has added Projections. Projections allow developers to greatly speed up range filters and group by operations by introducing secondary sort and shard keys. Query performance improvements range from 2-3x or more, depending on the size of the table. With this latest release, SingleStore becomes the industry’s first and only real-time data platform designed for all applications, analytics and AI. SingleStore supports high-throughput ingest performance, ACID transactions and low-latency analytics; and structured, semi-structured (JSON, BSON, text) and unstructured data (vector embeddings of audio, video, images, PDFs, etc.). Finally, SingleStore’s data platform is designed not just with developers in mind, but also ML engineers, data engineers and data scientists. “Our new features and capabilities advance SingleStore’s mission of offering a real-time data platform for the next wave of gen AI and data applications,” said Nadeem Asghar, SVP, Product Management + Strategy at SingleStore. “New features, including vector search, Projections, Apache Iceberg, Scheduled Notebooks, autoscaling, GPU compute services, SingleStore Kai™, and the Free Shared Tier allow startups — as well as global enterprises — to quickly build and scale enterprise-grade real-time AI applications. We make data integration with third-party databases easy with both CDC in and CDC out support.” "Although generative AI, LLM, and vector search capabilities are early stage, they promise to deliver a richer data experience with translytical architecture," states the 2023 report, “Translytical Architecture 2.0 Evolves To Support Distributed, Multimodel, And AI Capabilities,” authored by Noel Yuhanna, Vice President and Principal Analyst at Forrester Research. "Generative AI and LLM can help democratize data through natural language query (NLQ), offering a ChatGPT-like interface. Also, vector storage and index can be leveraged to perform similarity searches to support data intelligence." SingleStore has been on a fast track leading innovation around generative AI. The company’s product evolution has been accompanied by high-momentum growth in customers and surpassing $100M in ARR late last year. SingleStore also recently ranked #2 in the emerging category of vector databases, and was recognized by TrustRadius as a top vector database in 2023. Finally, SingleStore was a winner of InfoWorld’s Technology of the year in the database category. To learn more about SingleStore visit here. About SingleStore SingleStore empowers the world’s leading organizations to build and scale modern applications using the only database that allows you to transact, analyze and contextualize data in real time. With streaming data ingestion, support for both transactions and analytics, horizontal scalability and hybrid vector search capabilities, SingleStore helps deliver 10-100x better performance at 1/3 the costs compared to legacy architectures. Hundreds of customers worldwide — including Fortune 500 companies and global data leaders — use SingleStore to power real-time applications and analytics. Learn more at singlestore.com. Follow us @SingleStoreDB on Twitter or visit www.singlestore.com.

Read More

Spotlight

BigID

BigID

BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and ...

Events

Resources