Sold by: IBM SoftwareÂ
Deployed on AWS
Built on a lakehouse architecture, IBM watsonx.data is an open, hybrid, and governed data store optimized for all data, analytics, and AI workloads.
4.3
Overview
IBM watsonx.data is an open, hybrid, and governed data store built on an open data lakehouse architecture. The data lakehouse is an emerging architecture that offers the flexibility of a data lake with the performance and structure of a data warehouse. Watsonx.data is an enterprise-ready data store that enables hybrid cloud analytics workloads such as data engineering, data science and business intelligence, through open-source components with integrated IBM innovation.
Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines such as Presto and Spark across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. It also offers built-in governance, automation and integrations with an organization's existing databases and tools to simplify setup and user experience.
Db2 Warehouse and Netezza on AWS natively integrate with watsonx.data with shared metadata and support for open formats such as Parquet and Iceberg to share and combine data for new insights without ETL. Watsonx.data allows customers to augment data warehouses such as Db2 Warehouse and Netezza and optimize workloads for performance and cost.
Highlights
- Access all your data across hybrid-cloud: Access all data through a single point of entry with a shared metadata layer across clouds and on-premises environments.
- Get started in minutes: Connect to storage and analytics environments in minutes and enhance trust in data with built-in governance, security, and automation.
- Reduce the cost of your data warehouse by up to 50% through workload optimization: Optimize costly data warehouse workloads across multiple query engines and storage tiers, pairing the right workload with the right engine.
Details
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Deployed on AWS
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Dimension | Description | Cost/unit |
|---|---|---|
WXD_PG_SL1 | IBM watsonx.data as service pay per use 1 RU | $1.00 |
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Customer reviews
Simon R.
IBM watson.data is a Reliable Data Integration and Secure Hybrid Cloud Management System.
Reviewed on Nov 27, 2025
Review provided by G2
What do you like best about the product?
IBM watsonx.data is an effective multiple projects data access across Hybrid Cloud and very secure data storage platform management platform and even its workload balancing capability is incredible and very reliable big data integration system.
What do you dislike about the product?
This IBM system is very powerful and very friendly platform with simple implementation and easy to configure the functionalities.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data allows easy data accessibility, secure storage for the various IT projects and very useful data integration tool and the real time data analytics creation through the platform is excellent.
SWAPNIL S.
A Unified, Scalable Data Lakehouse
Reviewed on Nov 25, 2025
Review provided by G2
What do you like best about the product?
IBM Watsonx.data makes it easy to manage structured and unstructured data in one place. I really like the open lakehouse architecture - it gives us flexibility to store data in different formats while still enabling fast analytics.
The built in governance, metadata management and seamless integration
with open-source engines like Presto and Spark have significantly improved our query performance.
The built in governance, metadata management and seamless integration
with open-source engines like Presto and Spark have significantly improved our query performance.
What do you dislike about the product?
The inititial setup required some learning, especially for configuring connectors and access policies.
Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model
Also the pricing can be a bit confusing if you are not familiar with IBM's consumption model
What problems is the product solving and how is that benefiting you?
It helped us centralize our data, eliminate data silos, and dramatically improve query performance.
Reporting has become faster, governance is more consistent, and overall decision-making has improved.
Cost optimization through workload separation has also been a major benefit.
Reporting has become faster, governance is more consistent, and overall decision-making has improved.
Cost optimization through workload separation has also been a major benefit.
Information Technology and Services
Reliable Tool for Handling Large and Mixed Data
Reviewed on Nov 23, 2025
Review provided by G2
What do you like best about the product?
What I like most about IBM watsonx.data is that it brings different types of data into one place in a clean and organized way. The interface is simple to understand, so it didn’t take me long to get comfortable using it. It also handles larger datasets quite well, which is useful when working on analytics or reporting tasks.
I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother.
I also appreciate that it comes with helpful features around governance and access control. Setting up permissions is easy, and it feels well integrated with other IBM tools, so I don’t have to jump between platforms. Overall, it makes daily data work smoother.
What do you dislike about the product?
The main thing I don’t like is that the initial setup takes some time, especially for someone not familiar with IBM’s overall environment. A few parts need multiple configuration steps, and I had to go through the documentation several times to understand how certain features worked.
Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble.
Customer support is helpful, but sometimes the documentation could be clearer, which would reduce the need to contact support in the first place. Once everything is set up, though, the system works steadily without much trouble.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data helps me organize different types of data in one central place, which makes daily data work much easier. Before this, data was spread across different systems and it was time-consuming to manage access and keep everything consistent.
With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis.
With watsonx.data, I can quickly process large datasets and run analytics without waiting too long. The built-in governance tools also help control who can access what, so data stays secure and well managed. Overall, it saves time, reduces manual work, and makes it easier to use data for reporting and analysis.
Goutam T.
Flexible Platform with Powerful Integration and Hybrid Architecture
Reviewed on Nov 23, 2025
Review provided by G2
What do you like best about the product?
I appreciate this platform for its hybrid and open architecture, as well as its support for multiple engines. I also like that it integrates with tools such as IBM Knowledge Catalog.
What do you dislike about the product?
My main issues are the high rates and the complexity involved in learning how to use it.
What problems is the product solving and how is that benefiting you?
I am abel to access my data from one place and it's AI ready as it simplifies finding and organizing the data.
Siddhant K.
Unified Data Access with Smooth AI Integration
Reviewed on Nov 23, 2025
Review provided by G2
What do you like best about the product?
I enjoy how IBM watsonx.data lets me access all my information from a single spot, regardless of where it's saved across various setups. It handles both organized and unstructured data smoothly, allowing for fast operations and cost savings while enabling me to uncover answers more quickly. I also appreciate its smooth AI integration and strong governance features that keep my data secure and well-managed. Furthermore, it provides a unified environment where I can use SQL, analytics, and AI tools together, simplifying work processes for different teams. The platform's support for federated queries makes analyzing data faster without the need for heavy ETL processes, and its ability to handle complex and messy data alongside clean tables under one roof is highly beneficial.
What do you dislike about the product?
Some aspects of IBM watsonx.data could be improved. Initially, it's challenging to navigate due to a steep learning curve, and the layout can be overwhelming for beginners. Integrating it with certain external applications requires more steps than necessary, which could be streamlined. A cleaner design and smoother setup process would facilitate easier adoption for new users.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data consolidates scattered data, reduces cost with a lakehouse approach, simplifies handling unstructured data, unifies tool usage, and enhances governance. It speeds up insights with federated queries, supporting both structured and unstructured data retrieval efficiently.