Cloudera announced the expansion of its Enterprise AI Ecosystem and new integrations during its annual data and AI conference, EVOLVE24 New York.
Over the last year, the Enterprise AI Ecosystem has generated significant inbound interest and a steady flow of requests for Cloudera to build on its existing AI partners and establish new ones. Now Cloudera is proud to introduce its newest set of AI Ecosystem partners at EVOLVE24 New York. They are:
- Google Cloud: Google Cloud's Vertex AI Model Garden provides a centralized hub for discovering, customizing, and deploying a diverse range of models. This includes a selection of over 150 first-party, open, and third-party foundation models, including Google’s Gemini, Chirp, Imagen, and more. Google Cloud's infrastructure also supports Cloudera's DataHub platform, which serves as the data foundation for building AI applications.
Additionally, for the first ecosystem collaboration, Cloudera released an Accelerator for Machine Learning Project (AMP) entitled “Summarization with Gemini from Vertex AI” to help customers quickly deploy a summarization use case that takes advantage of the cost effectiveness and performance of Gemini Pro Models accessed from the Vertex AI Model Garden via API.
- Anthropic: Anthropic's Claude large language models (LLMs) are ideal for code generation, vision analysis, data insight, and text generation use cases. Anthropic’s family of Claude models will allow Cloudera users to balance performance and cost, while their commitment to AI safety research helps to ensure reliable, unbiased, and non-harmful outputs. Cloudera is releasing an AMP entitled “Image Analysis with Anthropic's Claude LLM” that will significantly reduce the time to develop a production image analysis application. Cloudera is also making Claude its default foundational model for its Cloudera AI Coding Co-pilot.
- Snowflake: Cloudera and Snowflake, the AI Data Cloud company, are building on their strategic collaboration, also announced at EVOLVE24, with Snowflake's Arctic Embed models, which excel at SQL generation and offer strong cost-performance ratios. Snowflake’s Iceberg-enabled platform provides interoperability with Cloudera, facilitating the sharing of data to feed AI use cases. Cloudera is actively working on product integrations with Snowflake.
“We pioneered the Enterprise AI Ecosystem to cater to the complex and continually evolving enterprise-grade security, privacy, authorization, and LLM demands of major organizations; this involves a complete suite of solutions across accelerated compute, semantic querying, vector embeddings, multi-modal agents, RAG applications, fine-tuning, and frontier models,” stated Abhas Ricky, Chief Strategy Officer at Cloudera. “AI researchers and practitioners have since deployed 400+ cutting-edge AI accelerators (AMPs) and numerous agentic applications supporting high-value use cases such as voice of customer analysis, invoice reconciliation, and underwriting automation. Together we are delivering a fully integrated enterprise AI platform, built on leading models and knowledge bases, to further production-ready high-fidelity solutions delivered with experts by your side.”
“OCBC has delivered dozens of Gen AI applications into production leveraging Cloudera AI and technologies from The Enterprise AI Ecosystem members,” said Adrien Chenailler, Head of Data Science and AI at OCBC Bank. “Our call center transcription application transcribes thousands of hours of calls daily and has led to a significant reduction in average call handling time. We have reduced the investment in research time of our relationship managers with GenAI. We're delighted that Cloudera continues to expand their enterprise AI ecosystem because it delivers proven solution architectures that get us from prototype to production faster.”
"Our partnership with Cloudera helps organizations extract hidden value in their enterprise data, including complex sources like images,” said Kate Jensen, Head of Growth and Revenue at Anthropic. “The new Image Analysis capability turns visual data from images, charts, or graphics into actionable insights, while Claude, as the default model for Cloudera AI Coding Assistant, and potential other use cases such as Text to SQL and NLP Co-pilots provide customers with a powerful AI assistant that boosts productivity and uncovers new opportunities in their data. Together, we're transforming raw data into actionable intelligence, empowering businesses to make smarter decisions faster.”
"We are thrilled to work with Cloudera to integrate Snowflake’s Arctic Embed models into Cloudera AI Inference powered by NVIDIA’s NIM,” said Baris Gultekin, Head of AI, Snowflake. “This collaboration will empower our joint customers to unlock the full potential of generative AI at scale, driving faster insights, enhanced decision-making, and transformative business outcomes. Together, Snowflake and Cloudera are pushing the boundaries of what's possible with modern data platforms, providing businesses with the agility and intelligence they need to stay ahead in an increasingly AI-driven world.”
Cloudera's integration with Snowflake brings enterprises an open, unified hybrid data lakehouse, powered by Apache Iceberg. Enterprises can now leverage the combination of Cloudera and Snowflake—tools for ingestion, processing, and consumption of data—for a single source of truth across all data, analytics, and AI workloads.
Cloudera has extended its Open Data Lakehouse interoperability to Snowflake, allowing joint customers seamless access to Cloudera’s Data Lakehouse via its Apache Iceberg REST Catalog. Customers benefit from an optimized data platform powered by Apache Iceberg, which enables them to ingest, prepare, and process their data.
Also, Snowflake users can now query data stored on Cloudera’s Ozone, an on-premises AWS S3-compatible object storage solution, directly from Snowflake. Customers now have access to all major form factors from one cohesive collaboration, on-premise, and as a platform-as-a-service (PaaS) and software-as-a-service (SaaS).
In addition to enabling greater interoperability between the two systems, Cloudera customers will experience the ease of Snowflake’s Business Intelligence engine. The Snowflake engine can access data from Cloudera’s Open Data Lakehouse without requiring data duplication or transfer, reducing complexity, streamlining operations, and maintaining data integrity.
Moreover, this collaboration leads to a reduction in the total cost of ownership of the integrated stack for enterprises. The elimination of data and metadata silos, rationalization of data pipelines, and streamlining of operational efforts are key factors in this cost reduction. These improvements help deliver analytics and AI use cases at scale more efficiently, further enhancing the value proposition for businesses leveraging both Cloudera and Snowflake. This strategic integration not only optimizes analytic workflows but also provides a robust framework for enterprises to drive innovation and gain competitive advantages in their respective markets.
Additional benefits of this integration include:
- Managed Iceberg Tables: Iceberg tables enhance data performance and reliability, allowing joint customers to unlock the full potential of their data through better organization, faster queries, and simplified data management, regardless of where the data is stored.
- Best-of-Breed Engines: Joint customers benefit from top-tier engines to ingest, prepare, and manage their data, enabling seamless management of both artificial intelligence (AI) and business intelligence workloads.
- Unified Security and Governance: This integration consolidates data security and governance across the entire data lifecycle. Joint customers can apply consistent security measures, track data origin and movement, and manage metadata within a single platform, on-premises or the cloud.
“By extending our open data lakehouse capabilities through Apache Iceberg to Snowflake, we're enabling our customers to not only optimize their data workflows but also unlock new opportunities for innovation, efficiency, and growth,” said Abhas Ricky, Chief Strategy Officer of Cloudera. “This will help customers simplify their data architecture, minimize data pipelines, and reduce the total cost of ownership of their data estate while reducing security risks. Together, Snowflake and Cloudera are bringing about the next era of data-driven decision-making for every modern organization.”
"Apache Iceberg is a leading choice for customers who want open standards for data, and Cloudera has been an integral part of the Iceberg project," said Tarik Dwiek, Head of Technology Alliances at Snowflake. “Our partnership expands what's possible for customers who choose to standardize on Iceberg tables. We are excited to break down silos and deliver a unified hybrid data cloud experience with multi-function analytics to all of our customers."
“Through this collaboration, customers gain access to a unified, robust data management platform that provides a single source of truth for all of their data, whether in the cloud or on-premises,” said Sanjeev Mohan, analyst at SanjMo. “This enables them to streamline and secure their data operations while efficiently analyzing and extracting insights across the entire data lifecycle—from ingestion to AI and analytics. It’s a strategic move from two industry giants to partner in a way that will deliver immediate value to businesses.”
In addition, reaffirming our commitment to advancing Iceberg adoption, Cloudera is excited to announce the technical preview of Cloudera Lakehouse Optimizer. This new service autonomously optimizes your Iceberg tables, further reducing costs while significantly enhancing the performance of your Lakehouse.
Cloudera’s existing group of enterprise AI ecosystem partners, including NVIDIA and AWS, will also be in the spotlight at EVOLVE24 New York, happening today, October 10.
