Sold by: IBM Software
Deployed on AWS
IBM watsonx.data Premium is a hybrid GenAI data lakehouse with integrated data fabric for governed analytics and AI across distributed environments.
4.4
Overview
IBM watsonx.data Premium is a hybrid, GenAI-ready data lakehouse designed for analytics and AI across complex, distributed enterprise data environments. It integrates open table formats such as Apache Iceberg and Parquet, enabling governed access to structured and unstructured data. Using multiple fit-for-purpose engines - including Presto SQL and Apache Spark - teams can run performance-optimized analytics and federated queries without data movement. watsonx.data Premium unifies the full watsonx platform by combining watsonx.data intelligence, watsonx.data integration, watsonx.ai Studio, and Watson Machine Learning, giving data engineers, data scientists, data stewards, and AI developers a single environment to prepare, enrich, govern, and operationalize data for AI.
This unified data fabric provides integrated data governance, lineage, quality controls, and metadata-driven policy enforcement, ensuring that all personas can work with high-trust, AI-ready datasets. watsonx.data Premium also supports multi-modal and vector-driven workloads, enabling enterprises to build retrieval-augmented generation (RAG), similarity search, and generative AI applications using governed data pipelines. With builtin support for unstructured data and distributed environments, watsonx.data Premium ensures teams can store, query, and analyze data across hybrid multi-cloud deployments while applying unified governance and consistent policy controls. watsonx.data offers enterprise-grade deployment flexibility and security, including VPC-based deployments, AWS Private-Link, and support for FedRAMP (Medium) and HIPPA for AWS GovCloud. Native AWS integrations - such as AWS Lake Formation and the Common Policy Gateway (CPG) for unified access control - enable realtime policy synchronization and full auditability. With multi-engine optimization across Presto and Spark, organizations can reduce data warehouse costs while scaling analytics and AI across their AWS footprint.
Q: What is IBM watsonx.data Premium?
watsonx.data Premium is a hybrid, GenAI-ready data lakehouse that integrates data fabric capabilities and AI tooling to manage structured and unstructured data across distributed environments.
Q: Who is watsonx.data Premium designed for?
watsonx.data Premium supports data engineers, data scientists, data stewards, and AI developers by unifying ingestion, governance, analytics, and AI development workflows.
Q: How does watsonx.data Premium support GenAI and RAG workloads?
watsonx.data Premium includes vector support and integrated AI tooling, enabling organizations to build RAG pipelines, vector search workloads, and generative AI applications using governed enterprise data.
Q: Does watsonx.data Premium support hybrid and multicloud architecture?
Yes. watsonx.data Premium shares metadata and governance across AWS, on-premises deployments, and multi-cloud environments through integrated data fabric services.
Highlights
- Unified hybrid-cloud governance: Manage structured and unstructured data with integrated governance, lineage, and quality across distributed environments.
- Integrated GenAI development: Build, train, and deploy AI models with watsonx.ai Studio and Watson Machine Learning in a unified workflow.
- Performance-optimized analytics: Leverage Presto and Spark engines to query large-scale datasets across your AWS and hybrid environments.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Cost/12 months |
|---|---|
watsonx.data Premium (Price/RU) | $8,664.00 |
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Please contact IBM Sales or IBM Support for Refunds
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Vendor support
This product includes enterprise-grade support designed for fast deployment and low operational risk. Customers have access to comprehensive public documentation, step-by-step integration guides, and architecture references aligned with AWS best practices. Technical support is available through defined support channels with documented SLAs, and our team actively assists with onboarding, configuration, and troubleshooting.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Christopher P.
Excellent Managed Services Support and Smooth Upgrade Assistance
Reviewed on Oct 28, 2026
Review provided by G2
What do you like best about the product?
Managed services support and assistance with upgrades.
What do you dislike about the product?
The contract options feel overly complex, and there isn’t enough flexibility in how they can be set up or adjusted.
What problems is the product solving and how is that benefiting you?
datastax database for storing large datasets and resilient db systems
Legal Services
Datastax Delivered Excellent Vector DB Throughput and Low Latency at Scale
Reviewed on Oct 28, 2026
Review provided by G2
What do you like best about the product?
We used Datastax to scale vector db for one of our large clients. Focused on taxation and law. We were able to get really good through puts and latency.
What do you dislike about the product?
Nothing really, the learning curve was a bit high but we had to get help from the account support team and that was helpful.
What problems is the product solving and how is that benefiting you?
Primary use case was use of AstraDB from Datastax for RAG pipelines.
Theo A. S.
Easy Information Ingestion That Strengthens User Support
Reviewed on Oct 27, 2026
Review provided by G2
What do you like best about the product?
What I like most is how easy it is to ingest information and then use it to better support our users.
What do you dislike about the product?
I haven’t come across anything I dislike so far, but if I do, I’ll let you know.
What problems is the product solving and how is that benefiting you?
It’s helping us uncover relationships in our data that we previously missed. It also gives us a smoother, more cohesive view of our data overall, which helps the business make sound decisions that influence the direction we’ll take in the future.
Vishwanath P.
Easy, High-Performance Data Management Across Multiple Sources
Reviewed on Aug 26, 2026
Review provided by G2
What do you like best about the product?
I like how easy it makes data management, its solid performance, and the way it helps me bring data from different sources together in one place.
What do you dislike about the product?
The interface can feel a little complex at first, and some features take time to understand and get used to. After spending more time with it, navigation becomes easier, but there’s still a noticeable learning curve.
What problems is the product solving and how is that benefiting you?
It helps me manage data from different sources in one place, making it much easier to access, organize, and analyze everything. As a result, I save time, and my day-to-day data work feels more efficient, streamlined, and easier to stay on top of.
Manshi S.
Powerful and Flexible Data Management for AI and Analytics
Reviewed on Aug 21, 2026
Review provided by G2
What do you like best about the product?
I like IBM watsonx.data’s ability to bring data from different sources into a single, open, governed platform, which makes it easier to manage, analyze, and prepare data for AI. Its hybrid-cloud support, strong data governance, and multi-engine architecture also add flexibility and scalability, so it can handle different workloads more smoothly.
What do you dislike about the product?
One thing I dislike about IBM watsonx.data is that the initial setup and overall learning curve can feel a bit complex, especially for beginners. Certain configurations and integrations take extra technical know-how, and I found the documentation could be clearer, more straightforward, and more practical to follow.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data helps address challenges such as data silos, complex data management, and the difficulty of accessing trusted data for analytics and AI. It brings data from multiple sources together into a unified platform, adds governance and security, and enables querying data without unnecessary duplication or movement.