IBM® watsonx.data™ data enables you to scale analytics and AI with all your data, wherever it resides, through:
Open formats to access all your data through a single point of entry and share a single copy of data across your organization and workloads, without needing to migrate or recatalog, reducing ETL and data duplication.
Integrated vectorized embedding capabilities to prepare your data for Retrieval Augment Generation (RAG) or other machine learning and generative AI use cases (in tech preview).
Generative AI-powered conversational interface to easily find, augment and visualize data and unlock new data insights—no SQL required (in tech preview).
Integration with existing databases, tools and modern data stacks.
Hybrid deployment options as fully managed SaaS on IBM Cloud® and AWS or self-managed containerized software on premises.
Accelerate responsible, transparent and explainable workflows for generative AI built on third-party platforms
Connect to storage and analytics environments in minutes and access all your data through a single point of entry with a shared metadata layer across clouds and on-premises environments.
Unify, curate and prepare data efficiently for AI models and applications of your choice. Empower your AI with your trusted data.
With workload optimization across multiple query engines and storage tiers, minimize the cost of your data warehouse by 50% and pair the right workload with the right engine.1
Combine the performance of data warehouses with the flexibility of data lakes to address the challenges of today’s complex data landscape and scale AI. Optimize workloads from your data warehouse by choosing the right engine for the right workload at the right cost, and modernize your ineffective data lakes with warehouse-like performance, security and governance.
“With watsonx.data integrated into Argos, our platform has significantly powered up, simplifying and enhancing our customer experience remarkably.”
— Dominik Regner, Sales Manager, Cogniware
“IBM watsonx.data enables next-generation lakehouse architecture for data-driven enterprises. We believe watsonx.data capabilities will help enterprises lower storage costs and optimize compute while ensuring seamless data management capabilities across discrete systems to support all data engineering and analytics (AI/ML) needs.”
— Ashish Baghel, CEO and Founder, NuoData and NucleusTeq
“Organizations struggle with data accessibility and performance when developing the next generation of robust AI and ML models. By working with watsonx.data, we accelerate our clients’ connection to their data, whether on premises or at the edge, so they can gain trusted insights quickly by accessing all their data across their hybrid cloud environments.”
— Chris Cochran, VP Alliances, WANdisco
IBM watsonx.data and AWS are enhancing cloud-based analytics and AI, enabling organizations to accelerate their data modernization strategies. By combining the openness, performance and governance of IBM watsonx.data with the scalability, agility and cost efficiency of the AWS cloud infrastructure, businesses can achieve greater convenience and flexibility.
Learn how to connect to your external sources, query data from multiple sources and much more.
Explore the free O'Reilly ebook to learn how to get started with Presto, the open source SQL engine for data analytics.
Learn how an open data lakehouse architecture helps scale AI and access an IDC study on the data lakehouse approach.
Learn about the fast and flexible open source query engine available with watsonx.data.
Explore the new studio for foundation models, generative AI and ML.
Discover how the AI governance toolkit accelerates responsible, transparent and explainable AI workflows.
Run always-on, analytics workloads across your enterprise, now with watsonx.data integration.
Experience unified, high-speed analytics with integrated watsonx.data anywhere you need it.
Get started with a free trial or request a live demo to see how you can put watsonx.data to work today.
IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. See Pricing for more detail. Unless otherwise specified under Software pricing, all features, capabilities, and potential updates refer exclusively to SaaS. IBM makes no representation that SaaS and software features and capabilities will be the same.