IBM watsonx.data Pricing Overview

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Watsonx.data is available as software today. Pricing for watsonx.data software is based on the number of virtual processor cores (VPC). Software capabilities include Standard SaaS tier plus bundled IBM Analytics Engine Powered by Apache Spark, IBM Storage Fusion, IBM Storage Ceph, IBM Cloud Pak for Data platform software, Red Hat OpenShift and more.

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Pricing information for IBM watsonx.data is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase IBM watsonx.data must be conducted with the seller.

Pricing information was last updated on March 29, 2024

Pricing Insights

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

12 months

Perceived Cost

$$$$$

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IBM watsonx.data Pricing Reviews

(2)

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

11/22/2025

"Flexible, High-Performance Platform with Outstanding Value"

5/5

What do you like best about IBM watsonx.data?

This platform is extremely flexible and cost-effective. It combines the adaptability of a data lake with the high performance of a data warehouse. Additionally, it offers built-in support for multiple engines tailored to different workloads. Review collected by and hosted on G2.com.

What do you dislike about IBM watsonx.data?

It is still relatively new and lacks the maturity found in platforms like Snowflake and Databricks. The user interface is not very polished and can be slow at times. Additionally, the setup process can occasionally be complex. Review collected by and hosted on G2.com.

What problems is IBM watsonx.data solving and how is that benefiting you?

Our data is scattered across multiple systems, both in the cloud and on-premises. We have faced challenges with siloed data in these environments. watsonx.data allows us to query data wherever it resides, eliminating the need to move or duplicate it. Another issue we've encountered is that traditional data warehouses are costly and have limited scalability. watsonx.data has helped us reduce costs, as we only pay for what we use. Review collected by and hosted on G2.com.

Siddhant K.

11/23/2025

"Unified Data Access with Smooth AI Integration"

3.5/5

What do you like best about IBM watsonx.data?

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. Review collected by and hosted on G2.com.

What do you dislike about IBM watsonx.data?

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. Review collected by and hosted on G2.com.

What problems is IBM watsonx.data 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. Review collected by and hosted on G2.com.