Sold by: IBM Software
Deployed on AWS
The hybrid, open data lakehouse to power AI and analytics with all your data, anywhere.
Overview
IBM watsonx.data is the hybrid, open data lakehouse to power AI and analytics with all your data, anywhere it resides. Access and share a single copy of data across your organization, breaking down data siloes and reducing data duplication. Optimize AI and analytics workloads for superior price-performance with multiple, fit-for-purpose query engines. Manage and prepare your data for AI and analytics at scale with built-in unified governance. Built with open standards for interoperability with your existing data estate - without needing to migrate or re-catalog. Seamlessly deployable across cloud and on-premises environments.
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.
For trials and customized IBM watsonx.data pricing contact your IBM Sales Representative or email us watsonx_on_AWS@wwpdl.vnet.ibm.com
Visit http://www.ibm.com/products/watsonx-data to learn more about our consumption model and product editions.
For more information on IBM watsonx.data visit http://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
Delivery method
Deployed on AWS
Features and programs
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. 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.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
IBM watsonx.data - Milvus instance | Milvus only deployment: 24 vCPUs | $72,000.00 |
IBM watsonx.data - small instance | Watson.data, Spark, Milvus for a small deployment: 76 vCPUs | $228,000.00 |
IBM watsonx.data - medium instance | Watson.data, Spark, Milvus for a medium deployment: 184 vCPUs | $552,000.00 |
IBM watsonx.data - large instance | Watson.data, Spark, Milvus for a large deployment: 368 vCPUs | $1,104,000.00 |
Vendor refund policy
All orders are non-cancellable and all fees and other amounts that you pay are non-refundable.
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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
Vendor support
For paid subscriptions, please visit IBM Support to create a ticket for watsonx.data: http://www.ibm.com/mysupport/http://www.ibm.com/mysupport/s/topic/0TO3p000000g8UsGAI/watsonx?language=en_US
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 HAQM Web Services.
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Customer reviews
Information Technology and Services
Powerful Data Platform with AI Integration
Reviewed on May 13, 2025
Review provided by G2
What do you like best about the product?
The most impressive part, however, is how AI and analytics work together, enabling data query and management on both structured and unstructured formats from a single platform. It is also Agile, scale-outable, and interoperable with open data formats like Parquet and Iceberg.
What do you dislike about the product?
IBM watsonx is undoubtedly powerful, but it is not without its drawbacks. For teams inexperienced with IBM’s ecosystem, the setup is multifaceted, the integration is tedious, and the ramp-up phase can be frustrating due to the advanced learning curve. Pricing models are often ambiguous for smaller teams, and along with uneven performance on larger datasets, it becomes increasingly costly. Furthermore, community support is limited and still in the developmental phase, leading to fears around vendor lock-in.
What problems is the product solving and how is that benefiting you?
IBM Watsonx.data addresses critical issues concerning the accessibility, integration, and analytics of data at scale. It helps by consolidating structured and unstructured data across multiple clouds and on-premises systems utilizing an open data lakehouse framework. This allows me to analyze and parse through extensive datasets from various locations without physically relocating them, thus optimizing processes and minimizing expenses associated with storage. It also ensures governance, security, and AI model readiness which supports me by accelerating trusted decision-making while simplifying the operational processes from raw data into insights.
Leave a comment0 comments
Mashhood S.
IBM Watson studio best for learning and application for machine learning
Reviewed on May 13, 2025
Review provided by G2
What do you like best about the product?
Best in using loaded data interact with datasets and use accordingly and learn with projects
What do you dislike about the product?
UI can be more specific and easy to understand the flow
What problems is the product solving and how is that benefiting you?
Learning project through ciursera
Tejas Jagannatha J.
Innovative model
Reviewed on May 13, 2025
Review provided by G2
What do you like best about the product?
It has inbuilt data lakes, tools for security purposes. It has everything combined in one place that saves time and efforts.
What do you dislike about the product?
It doesnt support with the other ecosystems like AWS. It has deep learning curve
What problems is the product solving and how is that benefiting you?
Solves the challenge of analyzing the data , storing it and processing it has been made very easy. It's an all in one platform and that's how it benefited me.
Computer & Network Security
IBM watsonx.data: A Scalable Data Powerhouse for Enterprises
Reviewed on May 13, 2025
Review provided by G2
What do you like best about the product?
IBM watsonx.data shines with its ability to integrate smoothly into hybrid cloud setups, existing data lakes, and diverse sources like SQL databases or legacy systems-no pricey migrations needed. Built-in AI tools, including real-time anomaly detection and automated governance, speed up analytics and boost fraud detection accuracy. It scales effortlessly for large datasets (structured or unstructured) without lag, ideal for high-volume needs. Users praise its intuitive interface, strong security protocols, and unified data management, which simplifies access and analysis.
What do you dislike about the product?
The platform’s learning curve is steep, especially for non-technical teams or those new to IBM’s ecosystem. Costs can escalate with data growth, and AI features demand hefty infrastructure. Some users report limited customization, slower support, and occasional hiccups integrating niche legacy tools. While robust, its smaller developer community (compared to open-source rivals) might slow peer-driven troubleshooting.
What problems is the product solving and how is that benefiting you?
It pulls scattered data from silos—legacy systems, SQL databases, even cloud apps—into one place, so we’re not stuck fixing broken workflows or paying for messy migrations. The AI tools auto-detect risks (like fraud) and handle governance tasks that used to eat up hours. It also scales smoothly when we’re slammed with data-heavy projects, without crashing or slowing us down.
Nithin A.
Enterprise grade platform for powerful and extendible AI.
Reviewed on May 12, 2025
Review provided by G2
What do you like best about the product?
IBM WatsonX.data is known for its high capability to handle the integration of various data sources and delivering advanced AI powered analytics capabilities. It offers an easy to use UI that will help users to effectively work with, process and analyze big datasets. WatsonX.data shows remarkable scalability and versatility managing both structured and unstructured data formats. In addition, the platform’s machine learning and AI functionalities make it easy to extract actionable intelligence hereby placing it on the top of the list for businesses that want to benefit from data analytics at scale.
What do you dislike about the product?
I think that IBM Watson X. data is intimidating for beginners, or for people who do not have experience in the advanced AI and data analytics. Getting up to speed with IBM WatsonX.data and working with large sets of data is challenging for the newcomers. On the other hand, though powerful, the platform might be intimidating to novice users because of the sweeping array of options, meaning that it is not a simple solution for people. Moreover, high system demands may make it unsuitable for organizations with little IT resources at their disposal or smaller teams.
What problems is the product solving and how is that benefiting you?
IBM watsonx.data overcomes issues with managing big data effectively as well as facilitating rapid, growing analysis for machine learning and data science projects. IBM watsonx.data helps to achieve higher productivity in my work due to the ability to retrieve and analyze data faster.