BIG DATA MANAGEMENT, BUSINESS STRATEGY, BIG DATA
Businesswire | May 19, 2023
SingleStore, the cloud-native database built for speed and scale to power real-time applications, today announced the launch of SingleStore Kai™ for MongoDB, a new API that turbocharges real-time analytics on JSON (JavaScript Object Notation) and vector based similarity searches for MongoDB based AI applications — without the need for any query changes or data transformations.
SingleStoreDB is a real-time distributed SQL database combining analytical and transactional workloads in one unified platform. In a new era of the ever increasing adoption of AI, making analytics real time and actionable is even more imperative. A vast majority of data accumulated in the world today is in JSON format, and MongoDB has grown to be one of the most widely adopted NoSQL databases to store and process JSON — powering a variety of use cases across martech, IoT, gaming, logistics, social media, e-commerce and content management applications.
However, document databases are not optimized for analytics, and users often experience delays or lagging query performance attempting to perform analytics on JSON data. SingleStoreDB, by contrast, is architected to power real-time analytics on transactional data, enabling users to drive ultra-fast analytics on both structured and semi-structured (JSON) datasets. The new API is MongoDB wire protocol compatible, and enables developers to power interactive applications with analytics with SingleStoreDB using the same MongoDB commands.
SingleStoreDB can effectively augment MongoDB as the analytical engine to power blazing fast analytics on collections of JSON data. More importantly, this powerful feature is available at no extra cost and is now open for public preview as part of the SingleStoreDB Cloud offering.
Some of the new capabilities of the API include:
100x-1,000x faster analytics. With SingleStore Kai, you can perform complex analytics on JSON data for MongoDB applications faster and more efficiently. Based on the latest performance benchmarks, SingleStoreDB was able to drive 100x faster analytical performance for most queries — with some even 1,000x faster compared to MongoDB. The SingleStore MongoDB API proxy translates the MongoDB queries into SQL statements that are executed by SingleStoreDB to drive lightning-fast analytics for your applications.
AI/vector functionality for JSON. The new era of generative AI requires real-time analytics on all data, including JSON collections. SingleStoreDB supports vectors and fast vector similarity search using dot_product and euclidean_distance functions. And with the launch of SingleStore Kai, developers can now utilize the vector and AI capabilities on JSON collections within MongoDB — powering use cases like semantic search, image recognition, similarity matching and more.
Simplicity and ease of use. No code changes, data transformations, schema migrations or changes to existing queries. Developers can continue to use existing MongoDB queries and don't have to normalize or flatten data, or do extensive schema migrations to power fast analytics for their applications.
Same MongoDB tools and drivers. By supporting the MongoDB wire protocol, SingleStore Kai allows MongoDB clients to communicate with a SingleStoreDB cluster. This means that developers who are familiar with MongoDB can easily power fast analytics on SingleStoreDB without having to learn a new set of tools or APIs — and can continue to use the same MongoDB tools, drivers, skill sets and ecosystem their customers are most familiar with.
Easy data replication. As part of the MongoDB API offering, SingleStore is also introducing a fast and efficient replication solution (in private preview) that can easily replicate MongoDB collections into SingleStoreDB. This service is natively integrated into SingleStoreDB and leverages one of the most widely used features – SingleStore Pipelines — to drive speedy replication and real-time CDC (Change Data Capture), enabling customers to get started quickly and easily.
Best of both worlds (NoSQL + SQL). SingleStoreDB is already MySQL wire protocol compatible. With the addition of SingleStore Kai for MongoDB, developers can essentially get the best of both worlds – the schema flexibility and simplicity of a JSON document store together with the speed, efficiency and complex analytical capabilities that only a relational SQL database can provide to power applications.
“The demand for real time analytics is undeniable and critical to today’s economy,” said Raj Verma, CEO, SingleStore. “With SingleStore Kai, we’re enabling any developer using MongoDB’s NoSQL platform to use SingleStore’s SQL analytics data platform, at orders of magnitude improved performance, without changing a line of code.”
“The reality is that MongoDB is not performant enough for powering fast analytics on JSON and joining complex JSON arrays can be both time consuming and costly,” said Yatharth Gupta, SVP Product, SingleStore. “With SingleStore Kai, developers now have a one stop shop to supercharge analytics on their MongoDB applications without having to recode or learn anything new - that’s a huge win-win.”
“This is a fantastic solution and a timely one,” said Kumaran Vijayakumar, CEO and Co-Founder, DataDock Solutions. “At DataDock, we help the world’s largest hedge funds structure products and execute trades. SingleStore helps us make exactly the right data and analytics available to our customers at the right time, in real time, and allows us to handle large volumes of data with ease.”
SingleStoreDB powers real-time data innovation for hundreds of customers including more than 100 Fortune 500, Forbes Global 2000, and Inc. 5000 brands across financial services and fintech, telecom and networking, streaming media, adtech, martech, supply chain logistics, and other verticals. Companies like 6sense, Cisco, Comcast, Dell, Disney, Heap, Hulu, LiveRamp, NBC, Siemens, SiriusXM/Pandora, Sony, Thorn, Uber, Western Digital, and others use SingleStoreDB to fuel real-time customer experience analytics and interactive dashboards.
“SingleStore has consistently demonstrated its ability to innovate and evolve,” said Carl Olofson, Analyst, IDC. “We’ve seen a growing demand in the analytic database market for leveraging a range of data, including JSON documents, together with relational tables in a single system. SingleStore Kai is an outstanding example of such leveraging, as it makes analytics on JSON fast and easy within SingleStore’s traditional SQL system.”
About SingleStore
The world’s leading brands rely on data – to make the right business decisions, to deliver exceptional customer experiences and to stay ahead of the competition. This reliance on data brings with it a need for simplicity, speed and scale. SingleStore delivers the world’s fastest distributed SQL database for real-time applications, SingleStoreDB. By combining transactional and analytical workloads, SingleStore eliminates performance bottlenecks and unnecessary data movement to support constantly growing, demanding workloads. Digital giants like Hulu, Uber and Comcast, and many more of the world’s leading SaaS providers, choose SingleStore to unleash the power of their data – supercharging exceptional, real-time data experiences for their customers. Follow us @SingleStoreDB and @SingleStoreDevs on Twitter or visit www.singlestore.com.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Amperity | March 14, 2023
On March 13, 2023, Amperity was selected by MillerKnoll, a collective of dynamic design brands, as its enterprise customer data platform (CDP) to enhance its omnichannel data and provide personalized customer experiences. MillerKnoll possesses a vast source of customer data across its numerous design brands and various digital and offline channels, which can be utilized as a foundation for delivering exceptional customer interactions.
However, with the ever-changing shopping preferences and behaviors of consumers, the company required a comprehensive solution to unite and manage its diverse data sources. By partnering with Amperity, MillerKnoll can use its customer data to reach more people and improve its advertising campaigns with data science scores, insights on cross-channel behavior, and content affinities.
MillerKnoll can use Amperity's platform to easily connect its data sources, giving it a full picture of its customers and the ability to give them personalized experiences that are relevant and interesting. With the help of Amperity's 360-degree unified view, MillerKnoll can now understand and use data across all touchpoints to provide consistent and relevant shopping experiences. MillerKoll can also use Amperity's technology, which is powered by AI, to drive retargeting, lookalike, and suppression campaigns on a large scale and to resolve identities and divide audiences.
Barry Padgett, CEO at Amperity, said, “By improving its customer data infrastructure, MillerKnoll will be able to supercharge the rest of its tech stack, and deliver the level of excellence consumers expect from brands on a daily basis.” He also said, “We are proud to work with a forward-thinking partner to help take its customer experience to the next level.”
(Source - Businesswire)
Visit ShopTalk in Las Vegas, March 26–29, in booth 1674 to learn how Amperity can help brands unlock business growth with a unified customer data foundation.
About Amperity
Amperity is a customer data platform (CDP) provider that helps businesses use customer data to improve marketing performance, increase customer loyalty, and drive revenue. The company offers tools to manage and analyze customer data and creates unified customer profiles to provide personalized experiences. Amperity works with over 100 leading global brands across various industries and is headquartered in Seattle with an office in New York City.
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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Fivetran | March 02, 2023
On March 1, 2023, Fivetran, a leading automated data movement solutions provider, launched three new offerings that make it the most comprehensive and complete enterprise-grade platform for automated data movement. The platform helps companies automate the process of maintaining and building data pipelines to centralize data from various sources into one centralized location, eliminating one of the most tedious tasks data engineers face. Fivetran's ELT process is fully automated, with prebuilt pipelines that deploy in minutes and adjust to source APIs and schemas changes.
Fivetran has extended its data movement platform with three new products, offering options for secure, real-time, and high-volume database replication for all deployment types:
The Fivetran Data Movement Platform provides safe, real-time, high-volume database replication choices for all deployment types. The High-Volume Agent (HVA) Connectors read directly from the source system's logs using log-based change data capture. An agent minimizes replication latency and supports large volumes of data, enabling enterprise users to access up-to-date, accurate, and granular data in near real time. In addition, the HVA connectors provide incremental updates and schema-drift monitoring, making them the optimal solution for high-volume replication use cases.
The Private Deployment option allows highly secure enterprises managing healthcare, defense, finance, and other sensitive data the choice to host Fivetran on-premises or in their own virtual private cloud (VPC). Due to security concerns, firms in highly regulated industries or with sensitive data were limited in where and how they could centralize their data. By deploying Fivetran in their own environment, these firms can modernize and simplify their tech stacks while complying with industry, company and regional policies. Modernizing infrastructure in this way lowers the total ownership cost since there are no heavy infrastructure or intensive set-up requirements.
Fivetran's AWS GovCloud Support allows government agencies to deploy the platform using AWS GovCloud to meet specific regulatory government requirements for handling data. AWS GovCloud enables government agencies to leverage the economies of the cloud while being compliant with FedRAMP for safe data movement. Furthermore, users can utilize AWS PrivateLink so that data is never exposed to the public internet.
About Fivetran
Fivetran is a leading automated data movement solutions provider specializing in automating the ELT process by handling the most time-consuming tasks, schema drift, such as extracts and transformations. This allows data engineers to concentrate on higher-impact projects while experiencing total pipeline peace of mind. Thousands of leading firms, including Lionsgate, Autodesk, Morgan Stanley, Conagra Brands, and Ziff Davis, trust its fully managed service to power mission-critical workloads and drive data-informed business decisions. Headquartered in Oakland, California, the company has a global presence, with offices in various parts of the world.
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