Sold by: IBM Software
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.
4.4
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.With the integration of DataStax Astra DB, watsonx.data now extends beyond analytics to support real time operational workloads and advanced AI applications. Astra DB brings enterprise-grade vector database capabilities and multi-model data support, enabling organizations to build generative AI applications, real time recommendation engines, and high-performance operational systems,all within the same unified platform. This integration eliminates the need for separate operational databases and provides seamless data flow between transactional and analytical workloads. 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.
For trials and customized IBM watsonx.data pricing contact your IBM Sales Representative or email us at watsonx_on_AWS@wwpdl.vnet.ibm.com Visit https://www.ibm.com/products/watsonx-data
to learn more about our consumption model and product editions.
For more information on IBM watsonx.data visit https://www.ibm.com/products/watsonx-data
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
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Extra-small Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 2000 Resource Units | $2,000.00 |
Small Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 20000 Resource Units | $20,000.00 |
Medium Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 50000 Resource Units | $50,000.00 |
Large Watsonx.data installation | Watsonx.data Resource Units annual Contract "pack" of 100000 Resource Units | $100,000.00 |
Dimension | Cost/unit |
|---|---|
Overage charge for overconsumption of contracted resource units | $1.10 |
Vendor refund policy
All orders are non-cancellable and all fees and other amounts that you pay are non-refundable.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
AWS infrastructure support
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.
Updated weekly
By IBM Software
By Databricks, Inc.
By Cloudera
Top
50
In Data Warehouses
Top
10
In Databases & Analytics Platforms, ML Solutions, Data Analytics
Top
10
In Data Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Lakehouse Architecture
Open data lakehouse architecture combining the flexibility of data lakes with the performance and structure of data warehouses
Multi-Engine Query Processing
Support for multiple fit-for-purpose query engines including Presto and Spark across IT environments
Vector Database Integration
Enterprise-grade vector database capabilities through DataStax Astra DB integration enabling generative AI applications and real-time operational workloads
Open Data Format Support
Native support for open formats such as Parquet and Iceberg enabling data sharing and combination without ETL
Unified Metadata Layer
Shared metadata layer across hybrid-cloud environments providing single point of entry for data access across clouds and on-premises
Lakehouse Architecture
Built on a lakehouse foundation providing unified data storage and governance across data engineering, analytics, BI, data science, and machine learning workloads
Open Source Integration
Constructed on open source data projects and open standards to maximize flexibility and interoperability across the data ecosystem
Data Intelligence Engine
Powered by a Data Intelligence Engine that enables organizational access to data and insights across diverse user roles and technical skill levels
Unified Data Platform
Consolidates data, analytics, and AI workloads on a single common platform running on Amazon S3, eliminating traditional data silos
Collaborative Capabilities
Provides native collaboration features enabling data teams to work together across the entire data and AI workflow
Workload Auto-scaling
Intelligently autoscales workloads up and down across hybrid and public cloud environments for optimized cloud infrastructure utilization.
Multi-function Analytics Platform
Provides integrated data warehouse, machine learning, and custom analytics capabilities with unified analytic functions to eliminate data silos.
Shared Data Experience (SDX)
Implements security and governance policies that are set once and applied consistently across all data and workloads, with portability across supported infrastructures.
Data Lifecycle Management
Manages complete data lifecycle functions including ingestion, transformation, querying, optimization, and predictive analytics across multiple cloud environments.
Unified Security and Governance
Ensures all workloads share common security, governance, and metadata with capabilities for data discovery, curation, and self-service access controls.
Standard contract
No
No
No
Customer reviews
reviewer2774796
Collaborative tools have streamlined team workflows and automated model building for projects
Reviewed on Jan 21, 2026
Review provided by PeerSpot
What is our primary use case?
My usual use cases for IBM Watson Studio include data analysis and model building.
What is most valuable?
One specific functionality of IBM Watson Studio that I find valuable is its collaboration features, which help streamline our team's workflow and enhance productivity.
I believe the AutoAI features of IBM Watson Studio have significantly helped in my data projects by automating model selection and hyperparameter tuning. The flexibility of machine learning frameworks within IBM Watson Studio truly testifies to its capabilities.
The pre-built model templates in IBM Watson Studio have helped reduce time to value for my team by providing a solid foundation for our data projects, allowing us to focus more on customization and less on building models from scratch.
What needs improvement?
Better documentation and more tutorials could enhance user experience with IBM Watson Studio.
For how long have I used the solution?
I have been working with IBM Watson Studio for an extensive period, but I do not have exact dates available.
What do I think about the stability of the solution?
I find IBM Watson Studio to be quite robust, with minimal downtime and great support regarding stability and reliability.
What do I think about the scalability of the solution?
I needed to scale IBM Watson Studio up for our larger projects, and I have had a chance to communicate with the technical support of IBM Watson Studio, which has been responsive and helpful.
How are customer service and support?
I would rate the technical support of IBM Watson Studio a solid ten out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
Regarding the setup and deployment processes, I have had a smooth experience, finding them straightforward and user-friendly.
What other advice do I have?
The shortcomings that I mentioned do not overshadow the benefits that I gain from using IBM Watson Studio, which continues to provide substantial value for my projects. I rate this product ten out of ten overall.
Vincenzo M.
Total Flexibility for Queries in Multiple Engines and Open Formats
Reviewed on Dec 18, 2025
Review provided by G2
What do you like best about the product?
I like that IBM watsonx.data allows querying the same data with different engines (for example, SQL with Presto and processing with Spark) on open formats like Iceberg, without duplicating datasets. I also highly value those that have multiple support channels.
What do you dislike about the product?
Sometimes the least comfortable thing is that, being so flexible, it requires a little more judgment at the beginning to clearly define the "path" (engines, catalog, and data governance).
What problems is the product solving and how is that benefiting you?
IBM watsonx.data reduces the complexity of having data spread across the data lake, the warehouse, and operational systems—each with its own access and governance—and unifies it into a lakehouse-type experience for analytics and AI.
Christine G.
Effective Workloads Optimization and Nice Real-Time Data Analytics Platform.
Reviewed on Dec 03, 2025
Review provided by G2
What do you like best about the product?
This system simplifies data accessibility and data storage and the ability to migrate multiple IT projects data its excellent and easy optimize workloads.
Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master.
Effective data management solution via Hybrid Cloud infrastructure and easy secure business data using this IBM platform and the real time data analytics generation this product is the master.
What do you dislike about the product?
Useful and very friendly system to get used to and its implementation process is quite simple, and no serious training needed during the initial point.
What problems is the product solving and how is that benefiting you?
Helpful on Cloud data secure storage and easy to access all the required business data and even to integrate across other platforms is amazing and excellent solution metadata easy management and creating clean and reliable real time data reports and analytics through this IBM tool is effective.
NamanJain
Faced a steep learning curve but have streamlined end-to-end machine learning workflows
Reviewed on Dec 02, 2025
Review from a verified AWS customer
What is our primary use case?
My main use case for IBM Watson Studio is the end-to-end ML life cycle.
A specific example of a project where I used IBM Watson Studio for the end-to-end machine learning life cycle is that I built a data pipeline that takes a Kafka stream and loads the data into our S3 bucket catalog. Then I built a data pipeline on top of it which parses the catalog and provides structured data for our in-house NER recognition model.
What is most valuable?
The best features IBM Watson Studio offers are that it is good for big and complex organizations, it is multi-cloud, it has an on-prem facility, and it also has strong visual tools.
The strong visual tools have helped my organization, which is currently cloud supported and has an on-prem server as well, as IBM Watson Studio serves as a use case for both of them.
IBM Watson Studio has positively impacted my organization by increasing work efficiency. I have noticed the work efficiency increase as it is an end-to-end ML pipeline in one place.
What needs improvement?
I think IBM Watson Studio can be improved.
I wish learning IBM Watson Studio could be easier and more gradual, as it is a complex task. Also, I think pricing is a bit high.
For how long have I used the solution?
I have been working in my current field for three plus years.
What do I think about the stability of the solution?
IBM Watson Studio is stable in my experience.
How are customer service and support?
I have not had any experience with customer support for IBM Watson Studio as I have not used it.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We are still using Google AI Studio before IBM Watson Studio, and we have not particularly switched completely to IBM Watson Studio.
We are using Google AI Studio as another option, but I did not evaluate other options before choosing IBM Watson Studio.
What other advice do I have?
I would advise others looking into using IBM Watson Studio to just use the tutorials available to see all the features. I rate this product a 4.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
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.