Business Wire | October 20, 2023
Airbyte, creators of the fastest-growing open-source data movement platform, today made available additional connectors for the Milvus, Qdrant and Weaviate vector databases as the destination for moving data from hundreds of data sources, which then can be accessed by artificial intelligence (AI) models.
We were the first general-purpose data movement platform to add support for vector databases – the first to build a bridge between data movement platforms and AI, said Michel Tricot, CEO, Airbyte. Now, we are doubling down as our users are clamoring for more and more vector database support so they don’t have to struggle with creating custom code to bring in data; they can use the new Airbyte connector to select the data sources they want.
Because vector databases have the ability to detect and identify relationships in data, their usage has become increasingly popular as users seek to gain more meaning from data. Vector databases are ideal for applications like recommendation systems, anomaly detection and natural language processing, and as sources for AI applications – specifically Large Language Models (LLM).
The vector database destination in Airbyte now enables users to configure the full ELT pipeline, starting from extracting records from a wide variety of sources to separating unstructured and structured data, preparing and embedding text contents of records, and finally loading them into vector databases – all through a single, user-friendly interface. These vector databases can then be accessed by LLMs. All existing advantages of the Airbyte platform are now extended to vector databases, including:
The largest catalog of data sources that can be connected within minutes, and optimized for performance.
Availability of the no-code connector builder that makes it possible to easily and quickly create new connectors for data integrations that addresses the “long-tail” of data sources.
Ability to do incremental syncs to only extract changes in the data from a previous sync.
Built-in resiliency in the event of a disrupted session moving data, so the connection will resume from the point of the disruption.
Secure authentication for data access.
Ability to schedule and monitor status of all syncs.
Airbyte continues to innovate and support cutting-edge technologies to empower organizations in their data integration journey. The addition of more vector database support marks another significant milestone in Airbyte's commitment to providing powerful and efficient solutions for data integration and analysis.
Certified connectors for both Airbyte Cloud and Airbyte Open Source Software (OSS) versions are now available for Milvus, Pinecone, and Weaviate. There is a community connector for both versions of Airbyte for Qdrant, as well as a community connector for Airbyte OSS available for Chroma. More options are planned for the future.
Airbyte makes moving data easy and affordable across almost any source and destination, helping enterprises provide their users with access to the right data for analysis and decision-making. Airbyte has the largest data engineering contributor community – with more than 800 contributors – and the best tooling to build and maintain connectors.
Airbyte is the open-source data movement 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 Enterprise, 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.
Cision | October 27, 2023
Neo4j, the world's leading graph database and analytics company, announced major new capabilities enabling cloud or self managed customers to increase analytical queries by up to 100x faster, run both transactional and analytical processing within one database, and automatically track data changes in real time for faster mission-critical decision making.
Neo4j's integration of operational and analytical workloads within a single database is now enhanced by the power of parallel runtime and change data capture, empowering our customers with real-time insights, cost-efficient data management, and simplified architecture, said Sudhir Hasbe, Chief Product Officer, Neo4j. The results foster quicker decision-making, superior customer experiences, and a competitive edge in the market at a magnitude of speed, performance and agility that is far greater than ever before.
New capabilities and benefits include:
Up to 100X faster performance of analytical queries via Parallel Runtime capability, which adds concurrent threads across multiple CPU cores to run analytical graph queries. Neo4j also leverages a technique called morsel-based parallelism to optimize this capability, for greater scalability, better resource utilization, and seamless multitasking.
Faster mission-critical decisions now enabled by native Change Data Capture (CDC), which automates the real-time tracking and notification of data changes in the database. CDC is also integrated with Neo4j Connector for Kafka and Confluent, which streams these changes for easier consumption across other data platforms and applications.
Easier Knowledge Graph creation via new embedding models that predict and find missing relationships and infer new connections within an organization's knowledge graph for greater semantic understanding.
New pathfinding algorithms that make complex workflows more efficient by identifying the best sequence and critical paths between nodes on a graph.
"Neo4j's Change Data Capture capability enables us to synchronize the latest changes happening in our customers' various data sources simultaneously – and helps us guarantee that when they use Dropbox Dash, they can search and find their content accurately," said Anil Masakal, Engineering Leader, Dropbox.
"Neo4j's new capabilities enable modern law enforcement agencies to react with greater agility to mission-critical events, empowering them to fight more crimes and solve them faster," said Christophe Willemsen, CTO, GraphAware. "For example, we can trigger alerts and send them to front-line officers when the phone number of a Person of Interest pings from a cellular tower near a high-risk event where a VIP is present, bodycam footage shows the image of a child at risk, and other events."
These advancements follow a series of milestones for Neo4j. The company recently integrated native vector search into its core database capabilities, enabling more accurate, explainable, and transparent outcomes for LLMs and other generative AI applications. It earlier won Google Cloud's 2023 Technology Partner of the Year award in the data management category, and placement in CRN's 2023 Big Data 100. Neo4j was recognized for the first time in the 2022 Gartner Magic Quadrant for Cloud Database Management Systems, the first time that any native graph vendor was included in the report.
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's community of data leaders comprises a vibrant, open-source community of more than 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com
Big Data Management
GlobeNewswire | October 25, 2023
EnterpriseDB (“EDB”), the leader in accelerating Postgres in the enterprise, today announced its acquisition of Splitgraph, an early-stage disruptor that provides a Postgres compatible serverless SQL API for building data driven applications from hundreds of datasources. This move is seen as a meaningful step in EDB's evolution, underscoring its commitment to delivering Postgres solutions to the ever evolving challenges customers face across a diverse data landscape.
Acquiring Splitgraph advances our capabilities within the realm of analytics and AI, said Kevin Dallas, CEO, EDB. With Splitgraph's technology and deep expertise, we're taking a leap in making data lake and data warehousing operations more efficient, streamlined, and collaborative. Unifying our shared commitment to customer-driven product development, we can accelerate our progress and better address the intricate data challenges that our customers encounter.
Miles Richardson, Co-Founder of Splitgraph, echoed Dallas’s sentiments, "We are pleased to share EDB’s vision to transform the way organizations engage with data using Postgres, especially for analytics workloads and AI-driven use cases. Becoming a part of EDB unlocks exciting new possibilities for our technology, further advancing the ways in which companies look to Postgres to solve their data ecosystem challenges.”
With the acquisition of Splitgraph, EDB underscores its dedication to innovating within the Postgres ecosystem, directly addressing the needs of users who want to seamlessly run analytical queries across diverse data sets. Splitgraph enhances this core capability by enriching data integration, cataloging, and governance, streamlining the management of both in-house data and information sourced from open publishers through a single Postgres interface. This strategic move firmly establishes EDB's commitment to continually elevate the value it delivers to its customers throughout the data landscape.
EDB provides enterprise-grade software and services that enable organizations to harness the full power of Postgres, the world’s leading open source database. EDB provides unmatched Postgres database expertise, and enables the same Postgres everywhere, including solutions for hybrid, self-managed private clouds, and EDB BigAnimal, a fully managed cloud database-as-a-service. EDB serves more than 1,500 customers globally, including leading government agencies, financial services, media and information technology companies. As the leading contributor to the vibrant and fast-growing Postgres community, EDB is committed to driving technology innovation. Through its solutions for high availability, reliability, security, 24x7 global support and advanced professional services, EDB empowers enterprises to control risk, manage costs and scale efficiently. For more information, visit www.enterprisedb.com.
EnterpriseDB and EDB are registered trademarks and BigAnimal is a trademark of EnterpriseDB Corporation; Oracle is a registered trademark of Oracle Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.
Splitgraph is a serverless data platform where you can query, upload, connect and share tables of data. It's built on Postgres and optimized for analytical queries over versioned snapshots and external data tables. Splitgraph develops Seafowl, an open source serverless OLAP database optimized for building data-driven Web apps, and also recently released a ChatGPT plugin for querying its catalog of open data with natural language.
Big Data Management
GlobeNewswire | October 06, 2023
Act-On Software, a provider of enterprise marketing automation solutions that leads the market in ease-of-use and user efficiency, today launched another win for marketers: Act-On Advanced Analytics, a deep-dive analytics and custom reporting suite powered by AI.
Act-On Analytics removes the need for marketers to lean on IT and data analysts to perform custom analytics on marketing campaigns, and puts the power in their hands with valuable, easy-to-understand, and shareable reporting and dashboards.
The new Act-On Advanced Analytics suite builds on Act-On’s standard out-of-the-box performance reporting to include custom reports and dashboards from any data set, with flexible filtering and visualization, much like a business intelligence (BI) tool. Act-On Advanced Analytics suite includes updated funnel performance and revenue impact reports, natural language querying (NLP), and AI-driven insights. Using the built-in AI capabilities, users can ask Act-On to build unique reports or uncover previously-unknown insights.
“This analytics suite is another great feature from Act-On that allows my marketing team to quantify results of our campaigns and take action to maximize success,” said Brandon Hardy, Digital Marketing Strategist at Tower Federal Credit Union, an Act-On client. “The customizable reporting and dashboards give us clear, easy-to-share information and allow us to collect valuable insights and trends from our campaigns. The new analytics suite really gives us the power to confidently move forward with strong business intelligence.”
This release also builds on Act-On’s mission to align Marketing closer to Sales. Analytics users can create custom dashboards for sales and share reports and alerts, informing employees across the go-to-market organization of time-sensitive information. Users across departments can even set up their own personal custom dashboards.
Act-On Business Analytics provides sophisticated reporting on marketing Funnel Performance, Attribution reporting, and Revenue Impact reports to analyze which campaigns and programs drive the most revenue.
For those who want to dive deeper, Act-On has a powerful analytics engine assisted by AI that analyzes any data set in the system, with custom filters, and cross segments with other data. With Act-On Advanced Analytics, marketing users can customize reports to deeply understand marketing performance and customer engagement. AI analysis identifies trends, correlations and outliers.
Act-On Analytics suite is fueled by Act-On’s cloud-based customer data lake, designed to incorporate first party, third party, and customer custom data for analysis to drive more informed and effective marketing. Act-On customers also continue to have access to Data Studio to export their data in common data formats for offline analysis.
This is a true analytics package within Act-On with the power and flexibility of BI, Act-On SVP of Marketing Jeff Day said. Marketers need to be able to deeply analyze their campaigns and channels to make performance improvements. And true to Act-On’s mission of making Marketing Automation easy for the enterprise customer, with this BI engine embedded into Act-On, we make custom analytics easy for all Act-On users.
Act-On Analytics is one of several advanced AI features Act-On has released this year:
Act-On AI Create, a generative email content tool for marketing emails powered by OpenAI
Act-On AI Predictive Lead Score, a feature to help marketers narrow the marketing funnel and hone in on the strongest leads
Act-On AI Audience Insights, developed in collaboration with Intel
And now, Act-On Advanced Analytics with AI
“We are super excited about our innovations in AI and the value, efficiency and performance this brings our customers,” Act-On CEO Kate Johnson said. “While we see other vendors letting their MA products languish, or even divest, we at Act-On have an aggressive roadmap for innovation as we chart the course to Marketing Automation 3.0.”
About Act-On Software
Act-On Software provides solutions that empower marketers to engage marketing targets at every step of the customer lifecycle. Act-On makes customer data actionable so marketers can dream big and build smart, effective marketing programs to grow their businesses and generate higher customer lifetime value – all with the fastest time-to-value.