Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

IBM watsonx.data

IBM watsonx.data: A broad hybrid lakehouse for teams working across open catalogs, clouds and deployments. Ranked #9 of 23 in Data Lakehouse Platforms by our editors (8.2/10); pricing: Paid; best for hybrid lakehouse teams needing broad catalog support.

8.2/10Editor score
IBM watsonx.data8.2 Try IBM watsonx.data

At a glance

  • Editor score
    8.2 / 10
  • Pricing
    Paid
  • Best for
    Hybrid lakehouse teams needing broad catalog support
  • Free plan
    No
  • Paid from
    $83.30/mo
  • Storage model
    Both
  • Founded
    1911 · Armonk, New York, United States
  • Facts checked
    20 Sep 2026
IBM watsonx.data screenshot
  • Where it wins

    • Supports Presto, Spark, and Iceberg, Hive, Hudi and Delta Lake catalogs
    • Provides ACID transactions, governance, access controls and lineage
    • Runs across SaaS, BYOC, on-premises and self-hosted environments
  • Where it doesn't

    • No free plan is available
    • Pricing varies by deployment, region and resource configuration
    • Streaming ingestion is experimental and not recommended for production

Our verdict on IBM watsonx.data

IBM watsonx.data is an open, hybrid data lakehouse platform for organizations connecting, querying, governing and optimizing data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments. It separates compute, metadata and storage, with distributed SQL analytics through Presto and distributed data processing through Spark. Support for Iceberg, Hive, Hudi and Delta Lake catalogs gives teams a broad open-table-format foundation, while integrations include Amazon S3, IBM Cloud Object Storage, Azure Data Lake Storage, Google Cloud Storage, MinIO, Apache Kafka, IBM Db2 and Snowflake.

Pricing has two published options. Pay Per Use starts at 1 USD per resource unit and includes Cassandra for real-time AI-ready operational data, open lakehouse architecture, unified access across S3 and IBM Cloud Object Storage, AI and BI workload optimization, and access controls, policies and lineage. Subscription is listed at 83.3 USD per month with the same stated highlights. Pricing varies by deployment, region and resource configuration, so the plan structure suits teams that need deployment flexibility but requires careful resource planning. There is no free plan.

The platform’s strongest fit is a hybrid environment that needs catalog breadth, governance and multiple deployment models in one foundation. ACID transactions are available for Iceberg and Delta Lake catalogs, and the platform includes lineage, policies and access controls. Streaming ingestion is available through Spark Stream, but it is experimental and not recommended for production use. Teams prioritizing production streaming should consider an alternative, while organizations focused on AI and BI workloads across cloud and on-premises environments should shortlist watsonx.data.

Your product? Our editors can test IBM watsonx.data in depth and publish a review, labelled as paid · from $149/mo →

IBM watsonx.data pricing

Plans Paid No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on ibm.com

All 2 IBM watsonx.data plans and prices →

IBM watsonx.data fact sheet

Free planNo
Paid from$83.30/mo
Storage modelBoth
SQL analyticsYes
ACID transactionsYes
Table format supportOpen
Streaming ingestionYes
Governance catalogYes
DeploymentCloud, Self-hosted
PlatformsWeb
SupportTickets, Community, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations8 integrations: Amazon S3, IBM Cloud Object Storage, Azure Data Lake Storage, Google Cloud Storage, MinIO, Apache Kafka …
PricingPaid (source)
Websiteibm.com
Facts checked20 Sep 2026

IBM watsonx.data integrations

IBM watsonx.data lists 8 integrations on its own site.

  • Amazon S3
  • IBM Cloud Object Storage
  • Azure Data Lake Storage
  • Google Cloud Storage
  • MinIO
  • Apache Kafka
  • IBM Db2
  • Snowflake

Alternatives to IBM watsonx.data

See all IBM watsonx.data alternatives →

Also Ranked In

IBM watsonx.data is ranked in 9 of our directories; the 6 strongest besides Data Lakehouse Platforms.

Used IBM watsonx.data? Be the first to review it

The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used IBM watsonx.data for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

Write a reviewTwo minutes · verified accounts only · read by an editor before it appears

Reviews come only from verified accounts. Sign in or create an account first — your e-mail is never shown.

Your rating

0 characters · at least 80, up to 3,000

Posted from your verified account. Reviews appear after an editor reads them, usually within two working days.

Featured on iTechGuides

Featured on iTechGuides — IBM watsonx.data 8.2/10

IBM watsonx.data is listed in our Data Lakehouse Platforms directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/ibm-watsonx-data/"><img src="https://www.itechguides.com/best/badge/ibm-watsonx-data.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated · How we research and update