Latest news with #DatabricksDataIntelligencePlatform
Business Wire
13-06-2025
- Business
- Business Wire
PuppyGraph Announces New Native Integration to Support Databricks' Managed Iceberg Tables
SAN FRANCISCO--(BUSINESS WIRE)--PuppyGraph, the first real-time, zero-ETL graph query engine, today announced native integration with Managed Iceberg Tables on the Databricks Data Intelligence Platform. This milestone allows organizations to run complex graph queries directly on Iceberg Tables governed by Unity Catalog- no data movement and no ETL pipelines. "Databricks' new Iceberg capabilities provide a truly open, scalable foundation. With PuppyGraph, teams can ask complex relationship-driven questions without ever leaving their lakehouse. " -- Weimo Liu, CEO of PuppyGraph Share Databricks Managed Iceberg Tables, launching in Public Preview at this year's Data + AI Summit, offers full support for the Apache Iceberg™ REST Catalog API. This allows external engines, such as Apache Spark™, Apache Flink™, and Apache Kafka™, to interoperate seamlessly with tables governed by Unity Catalog. Managed Iceberg Tables provide automatic performance optimizations, which deliver cost-efficient storage and lightning-fast queries out of the box. By combining PuppyGraph's in-place graph engine with the openness and scale of Managed Iceberg Tables, teams can now: Query massive Iceberg datasets as a live graph, in real-time Use graph traversal to detect fraud, lateral movement, and network paths Perform Root Cause Analysis on telemetry data using service relationship graphs Eliminate the need for ETL into siloed graph databases Scale analytics across petabytes with minimal operational overhead Coinbase and CipherOwl are joint customers of Databricks and PuppyGraph. At the Data + AI Summit, both will share how graph analytics has powered their products and enabled real-time insights directly on managed lakehouses. "This changes how graph analytics fits into the modern data stack," said Weimo Liu, CEO of PuppyGraph. "Databricks' new Iceberg capabilities provide a truly open, scalable foundation. With PuppyGraph, teams can ask complex relationship-driven questions without ever leaving their lakehouse." To learn more about how PuppyGraph integrates with Apache Iceberg™ and the Databricks Data Intelligence Platform, visit or see the joint talk with Coinbase at Data + AI Summit 2025. About PuppyGraph: PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model deployed in under 10 minutes, bypassing traditional graph databases' cost, latency, and maintenance hurdles. Capable of scaling with petabytes of data and executing complex 10-hop queries in seconds, PuppyGraph supports use cases from enhancing LLMs with knowledge graphs to fraud detection, cybersecurity and more. Trusted by industry leaders, including Coinbase, Netskope, CipherOwl, Prevalent AI, Clarivate, and more. Learn more at and follow the company on LinkedIn, YouTube and X.
Techday NZ
12-06-2025
- Business
- Techday NZ
Fivetran awarded Databricks 2025 data integration partner of year
Fivetran has been named the 2025 Databricks Data Integration Partner of the Year. The award recognises the collaborative efforts between Fivetran and Databricks to provide data foundations for analytics and artificial intelligence to enterprise customers. The acknowledgement comes in light of a 40 percent year-over-year increase in the number of joint customers using Fivetran and Databricks to manage and analyse data. Fivetran offers solutions that allow organisations to centralise data from a wide array of sources, such as SaaS applications, databases, files, and event streams, into the Databricks Data Intelligence Platform. By automating the process of moving data and streamlining pipeline management, Fivetran aims to lessen the engineering resources required by its clients while ensuring more reliable and faster access to data. Growth and integration The past year has seen the partnership between Fivetran and Databricks expand further, with the introduction of advanced integrations into Unity Catalog and Delta Lake. These integrations assist customers in maintaining governance requirements while making use of both structured and unstructured data. As more organisations look to refine their data operations, the combined capabilities of Fivetran and Databricks are cited as helping to reduce operational overhead, enhance performance, and expedite the transformation of raw data into actionable insights. "Databricks continues to be a strategic partner as more companies invest in modern data infrastructure. This recognition speaks to the value we are delivering together for customers who need reliable, secure data pipelines to support production-grade AI and analytics. We are proud to help build the foundation for what comes next." The above was stated by Logan Welley, Vice President of Alliances at Fivetran, underscoring the role of partnership in supporting enterprise clients adopting artificial intelligence and analytics-driven solutions. Launch partner initiatives Fivetran has also been announced as a launch partner for Databricks Managed Iceberg Tables. This new feature is designed to provide customers with access to open and high-performance data formats optimised for large scale analytics and artificial intelligence purposes. Through its integration with Unity Catalog, Fivetran seeks to offer enterprises a consistent approach to data governance and efficient data accessibility as they scale their workloads and expand use cases for analytics and AI. The solution is currently employed by a range of organisations across different industries. National Australia Bank, for example, uses Fivetran's Hybrid Deployment model to operate data pipelines within its own cloud infrastructure while utilising Databricks for processing and analytics. This structure allows the bank to adhere to stringent compliance requirements, whilst modernising its infrastructure and accelerating its artificial intelligence adoption efforts. Other companies, including OpenAI, Pfizer, and Dropbox, use Fivetran to facilitate data transfer into Databricks to support a variety of applications, from real-time analytics to machine learning in production settings. The goal for these organisations is to improve operational speed and inform decision-making processes. Partner perspectives "As enterprise demand for data intelligence grows, Fivetran has been an important partner for us in helping organisations move faster with data. Their focus on automation, scale, and governance aligns with what our customers need as they bring more data-driven AI applications from production to market." This statement was made by Roger Murff, Vice President of Technology Partners at Databricks, highlighting the significance of the partnership in meeting evolving customer needs in the data intelligence sector. Fivetran reports that its automated pipelines, security measures, and managed experience are intended to support compliance and facilitate AI-focused data infrastructure modernisation for its enterprise clients.
Cision Canada
12-06-2025
- Business
- Cision Canada
Databricks Announces Strategic AI Partnership with Google Cloud to Bring Gemini Models Natively to the Data Intelligence Platform
SAN FRANCISCO, June 12, 2025 /CNW/ -- Databricks, the Data and AI company, today announced a new strategic product partnership with Google Cloud to make the latest Gemini models available as native products within the Databricks Data Intelligence Platform. This partnership empowers organizations to build, deploy and scale AI agents using Google Gemini's advanced capabilities directly on their enterprise data — securely and with unified governance — within their Databricks environment. As businesses seek to unlock value from their proprietary data with AI, they need solutions that deliver accuracy, security and compliance without operational complexity. Many current AI deployments force organizations to move data between systems or manage fragmented controls. Databricks and Google Cloud have partnered since 2021 to deliver data at scale on Google Cloud. The expanded partnership addresses these challenges by combining Databricks' unified data and AI platform with Gemini's leading models. This offers a seamless, secure way to build and manage AI solutions at scale on Databricks. Google Gemini 2.5 represents a new milestone in AI reasoning and performance, excelling at complex, multi-step decision making and natural language understanding. The latest Gemini models, including Gemini 2.5 Pro and Gemini 2.5 Flash, now achieve leading performance on key industry benchmarks. Databricks customers will also get access to the recently introduced "Deep Think" mode for advanced reasoning and robust security safeguards. As native products in Databricks, Gemini models will be accessible to customers directly through SQL queries and model endpoints, eliminating the need for data duplication or integrations, creating a seamless experience. Customers can pay for Gemini usage through their Databricks contract. "By using Google's Gemini models directly on the Databricks Data Intelligence Platform, organizations can build and scale AI agents tailored to their specific domains and data," said Ali Ghodsi, Co-founder and CEO of Databricks. "Gemini is advancing at an impressive rate, and it's no surprise that enterprises everywhere are seeing value from these models." "Our partnership with Databricks is another critical step in helping every enterprise transform their businesses with generative AI," said Thomas Kurian, CEO of Google Cloud. "By providing Databricks customers with direct access to Gemini's advanced capabilities, customers can more easily build and deploy sophisticated AI agents, automate complex data workflows, and uncover more predictive insights from their own data, accelerating innovation at scale." Partnership Highlights: Native Databricks integrations: Gemini models will be made available and billed as native products within the Databricks Data Intelligence Platform, enabling secure, direct use of enterprise data without replication. Domain-specific AI agents: Organizations can now use Gemini models to develop AI agents capable of handling complex datasets and workflows, with support for advanced reasoning and large context windows. Unified governance: Databricks Unity Catalog ensures end-to-end governance and responsible AI use, supporting compliance efforts with security, access and ethical standards. Enhanced productivity: AI agents can use Gemini to automate business processes, generate insights from live data and support decision making with current, context-rich answers. With this partnership, Databricks and Google Cloud are making it easier than ever for organizations to unlock the full potential of their data using advanced, secure, and scalable AI solutions on Databricks. About Databricks Databricks is the Data and AI company. More than 15,000 organizations worldwide and over 60% of the Fortune 500 rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, MLflow, and Unity Catalog. To learn more, follow Databricks on X, LinkedIn and Facebook.
Business Wire
12-06-2025
- Business
- Business Wire
Informatica Expands Partnership with Databricks as Launch Partner for Managed Iceberg Tables and OLTP Database Service at Data + AI Summit 2025
REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an AI-powered enterprise cloud data management leader, today announced a significant expansion of its partnership with Databricks at the 2025 Data + AI Summit. Informatica is a launch partner for two major innovations from Databricks—Managed Iceberg Tables and Databricks Lakebase, a first-of-its-kind, modern database built for AI. Informatica also unveiled GenAI-focused enhancements to its Intelligent Data Management Cloud (IDMC) platform to accelerate data and AI at scale with Databricks. These announcements further strengthen Informatica's leadership in cloud data management and its deep integration with the Databricks Data Intelligence Platform. Support/Launch Partner for Databricks' New Managed Iceberg Tables As a launch partner for Databricks Managed Iceberg Tables, Informatica enables customers to ingest, cleanse, govern and transform Iceberg-format data at enterprise scale. This allows organizations to convert any data to Iceberg format and leverage open table formats with confidence while maintaining high-performance analytics and AI workloads on the Databricks Data Intelligence Platform. Launch Partner/Connectivity for Databricks' New OLTP Database Informatica is also a launch partner for Databricks Lakebase, a new fully managed, Postgres-compatible database that supports high-volume transactions. Informatica enables seamless data loading and transformation from over 300 sources into the Databricks PostgreSQL service. This will help customers support transactional database (OLTP) use cases by leveraging all their enterprise data assets within the Databricks Data Intelligence Platform, providing uniform enterprise data management for analytics, AI and now transactional workloads. Accelerating GenAI Adoption with CAI for Mosaic AI In addition, Informatica is introducing new capabilities aimed at accelerating the adoption of AI agents and GenAI on Databricks Mosaic AI, Databricks' suite of AI solutions that helps enterprises build and deploy quality AI agent systems. These include: Mosaic AI connectors for Cloud Application Integration (CAI): Rapidly deploy AI agents that integrate enterprise data with Mosaic AI through a no-code interface. GenAI Recipes for CAI: Pre-configured templates that simplify and speed up GenAI application development and deployment. Enhanced Volume Support for Databricks Integration New volume support for Informatica's Cloud Data Integration (CDI) and Cloud Data Ingestion and Replication (CDIR) allows Databricks customers to move and manage non-tabular datasets more efficiently via Unity Catalog—reinforcing Informatica's strength in no-code, governed data integration. 'As a launch partner for our Managed Iceberg Tables and Lakebase, Informatica is committed to supporting Databricks' goal of helping customers leverage open table formats,' said Roger Murff, VP of Technology Partners at Databricks. 'With Informatica's support for GenAI through Databricks Mosaic AI connectors and GenAI recipes, we're enabling enterprises to streamline AI initiatives that harness data intelligence and create real business impact.' 'Informatica continues to be at the leading edge of Generative AI, enabling our joint customers to build a data foundation of trusted, AI-ready data,' said Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems and Technology at Informatica. 'As a launch partner, today's announcement showcases our ongoing commitment to innovating with Databricks to maximize customer value through deep product enhancement and partnership alignment.' Join Informatica at DAIS 2025 Informatica invites attendees to visit booth #325 at the Databricks Data + AI Summit to explore how Informatica and Databricks are jointly driving the future of AI and enterprise data management. About Informatica Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, only Informatica's Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica's platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by 5,000+ customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation.
Business Wire
12-06-2025
- Business
- Business Wire
Superblocks Announces Strategic Partnership with Databricks Data Intelligence Platform to Deploy Data and AI Apps Securely
NEW YORK--(BUSINESS WIRE)-- Superblocks, the leading platform for secure enterprise application development, today announced an expanded partnership and native integration with Databricks, the Data and AI company, at the 2025 Databricks Data + AI Summit. Now, enterprises are able to build internal data and AI applications using Superblocks' unique multi-modal development experience and leveraging data, AI, and governance in the Databricks Data Intelligence Platform. 'Our customers have invested in building a data and AI foundation in Databricks, and are increasingly turning to applications to help democratize those investments across their organization,' said Shanku Niyogi, VP of Product at Databricks. Enterprises today are under increasing pressure to turn data and AI into secure, production-ready applications that power and automate core business operations. With Superblocks on Databricks, teams get the best of both worlds: centralized access to enterprise data and AI models from Databricks, combined with the flexibility of Superblocks to build full-stack internal apps using Clark AI, the Visual Editor, or the underlying React framework. Superblocks brings a powerful application builder to the Databricks Data Intelligence Platform, enabling engineering, IT, and business teams to collaboratively build and deploy internal apps faster than ever. With native integration, teams can also seamlessly leverage Databricks services including Databricks SQL, Mosaic AI, Lakebase, and Unity Catalog to power their applications — all within a unified, secure environment. 'Our customers have invested in building a data and AI foundation in Databricks, and are increasingly turning to applications to help democratize those investments across their organization,' said Shanku Niyogi, VP of Product at Databricks. 'With Superblocks' integration with Databricks, they're able to accelerate the development of these data and AI applications, without sacrificing security and governance.' Superblocks enables a multi-modal development experience, so teams can build in the way that best suits their workflow: Generate with AI: Use Clark, the first AI agent for internal enterprise apps, to generate full-stack apps from natural language prompts. Build visually: Refine UIs, agents, and workflows using hundreds of drag-and-drop components. Customize with JavaScript or bring your own React components. Extend with Code: Edit underlying React code directly in your IDE (Cursor, Windsurf, VSCode) with real-time sync to the Visual Editor. Customers then have the option of hosting these applications in Superblocks Cloud, in their own VPC using the Superblock on-prem agent, or, as part of a future integration, directly as a Databricks App with the built-in security, governance, and compliance controls of the Databricks Data Intelligence Platform. 'Databricks has transformed how organizations access and leverage data and AI. Superblocks takes it a step further empowering engineering, IT, and business teams to collaborate and build internal apps on top of that foundation,' said Brad Menezes, CEO of Superblocks. 'Together, we're unlocking a new era of enterprise software development where anyone can build secure, production-grade internal tools with full governance, all within the Databricks Data Intelligence Platform.' The ability to integrate Databricks products in a Superblocks application is now generally available to all customers. To learn more about the partnership, please visit our blog, or schedule a demo to see Superblocks and Databricks in action. About Superblocks: Superblocks is an AI platform that reimagines how internal software is built across the enterprise. Its AI agent, Clark, allows businesses to build production-grade internal apps and automations using natural language. Every app connects directly to company systems, data, and design standards, while generating clean, traceable React code under the hood. With full visibility and control for engineering and IT, Superblocks enables faster execution, fewer bottlenecks, and a new model for building internal software at scale. Superblocks has raised $60M in funding and is backed by Spark Capital, Kleiner Perkins, Greenoaks, and Meritech Capital, as well as leading tech executives including the founders of Workday, Box, and Okta.
