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IBM software · Data platform for AI

Query your data where it lives.* Your price in one business day.

For the teams who put data to work for AI: IBM watsonx.data, sized to your workloads by our engineering team and priced before you commit.

One of our engineers replies within one business day.

* IBM’s words, printed below with their source.

IBM watsonx.data at first lightA line drawing of a lakehouse standing on the horizon with the sun rising behind it: open tables in the middle, joined to a cloud, a data center and documents. The query engine beside it is lit.
IBM watsonx.data at first lightA line drawing of a lakehouse standing on the horizon with the sun rising behind it: open tables in the middle, joined to a cloud, a data center and documents. The query engine beside it is lit.

Your next data platform can query data where it lives.

  • It queries data across clouds, SaaS and your data centers without copying it first.*
  • It keeps tables in open formats: Apache Iceberg, Hive and Delta Lake.
  • It applies one set of access controls, policies and lineage across distributed data.

The warehouse and the lake you run today may be serving you well. This is what watsonx.data adds.

We size it with you. You see your price first, within one business day.

Compute goes to the data.

How IBM watsonx.data works: connect, run, governThree steps on one line. Connect: data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments, with zero-copy data access. Run: the engine for the job, Presto, Spark, OpenSearch or Cassandra, on open formats. Govern: IBM watsonx.data intelligence adds the catalog, data quality, lineage and data sharing.01ConnectData across cloud, multicloud, SaaS,client-managed VPC and on-premisesenvironments, with zero-copy dataaccess.02RunThe engine for the job: Presto, Spark,OpenSearch or Cassandra, on openformats.03GovernIBM watsonx.data intelligence adds thecatalog, data quality, lineage and datasharing.IBM lists the open table formats as Apache Iceberg, Hive and Delta Lake. Source: IBM, ibm.com/products/watsonx-data andibm.com/products/watsonx-data-intelligence (read October 24, 2026).
How IBM watsonx.data works: connect, run, governThree steps on one line. Connect: data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments, with zero-copy data access. Run: the engine for the job, Presto, Spark, OpenSearch or Cassandra, on open formats. Govern: IBM watsonx.data intelligence adds the catalog, data quality, lineage and data sharing.01ConnectData across cloud, multicloud, SaaS,client-managed VPC and on-premisesenvironments, with zero-copy dataaccess.02RunThe engine for the job: Presto, Spark,OpenSearch or Cassandra, on openformats.03GovernIBM watsonx.data intelligence adds thecatalog, data quality, lineage and datasharing.IBM lists the open table formats as ApacheIceberg, Hive and Delta Lake. Source: IBM,ibm.com/products/watsonx-data andibm.com/products/watsonx-data-intelligence(read October 24, 2026).
watsonx.data takes the compute to the data, and governs it on the way.

Connect it where it lives.

IBM says watsonx.data accesses, queries and governs data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments, with zero-copy data access.

The engine for the job.

Presto for SQL and BI, Spark for data engineering and AI/ML, OpenSearch for vector and keyword search, Cassandra for NoSQL read and write. IBM offers GPU-accelerated Presto as a Technical Preview.

Governed before AI reads it.

IBM watsonx.data intelligence adds the catalog, data quality, lineage and data sharing, and governs data products. IBM provides an upgrade path to it from Knowledge Catalog.

Source: IBM’s watsonx.data page, opened October 24, 2026.

Three of IBM’s own figures.

The IBM data platform for AI in three of IBM’s figuresThree of IBM’s figures: four engines in watsonx.data, Presto, Spark, OpenSearch and Cassandra; more than 60 data sources Cloud Pak for Data connects to; three ways to run watsonx.data, as SaaS, self-managed software or in your own cloud. Each figure is IBM’s, from its watsonx.data, Cloud Pak for Data and Netezza pages. IBM states no test conditions for them.4engines in watsonx.data*Presto, Spark, OpenSearch and Cassandra, each forits own kind of work.60+data sources*IBM says Cloud Pak for Data connects to morethan 60, self-hosted or as a managed service onIBM Cloud.3ways to run watsonx.data*SaaS, self-managed software, or in your own cloud(BYOC).* Each figure is IBM’s, from its watsonx.data, Cloud Pak for Data and Netezza pages. IBM states no test conditions for them.Source: IBM’s figures, from ibm.com/products/watsonx-data, ibm.com/products/cloud-pak-for-data and ibm.com/products/netezza (read October 24, 2026).
The IBM data platform for AI in three of IBM’s figuresThree of IBM’s figures: four engines in watsonx.data, Presto, Spark, OpenSearch and Cassandra; more than 60 data sources Cloud Pak for Data connects to; three ways to run watsonx.data, as SaaS, self-managed software or in your own cloud. Each figure is IBM’s, from its watsonx.data, Cloud Pak for Data and Netezza pages. IBM states no test conditions for them.4engines in watsonx.data*Presto, Spark, OpenSearch and Cassandra, eachfor its own kind of work.60+data sources*IBM says Cloud Pak for Data connects to morethan 60, self-hosted or as a managed service onIBM Cloud.3ways to run watsonx.data*SaaS, self-managed software, or in your owncloud (BYOC).* Each figure is IBM’s, from its watsonx.data,Cloud Pak for Data and Netezza pages. IBMstates no test conditions for them.Source: IBM’s figures, fromibm.com/products/watsonx-data,ibm.com/products/cloud-pak-for-data andibm.com/products/netezza (read October 24,2026).
Three of IBM’s own figures for the platform, with their source.

Four engines.

IBM lists Presto, Spark, OpenSearch and Cassandra on its watsonx.data page, each for its own kind of work.

More than 60 data sources.

IBM says Cloud Pak for Data connects to more than 60 data sources, self-hosted or as a managed service on IBM Cloud.

Three ways to run it.

IBM offers watsonx.data as SaaS, as self-managed software, or in your own cloud (BYOC). Netezza runs as an appliance in your data center, as SaaS on AWS or Microsoft Azure, or in your own cloud.

* IBM’s words and figures, from its watsonx.data, watsonx.data pricing, Cloud Pak for Data and Netezza pages, read October 24, 2026. IBM says watsonx.data “works with your data where it lives” and uses “zero-copy data access.” IBM states no test conditions for these figures.

Source: IBM’s watsonx.data page, opened October 24, 2026.

Size the compute first.

How IBM counts watsonx.dataHow IBM counts watsonx.data, in three columns: SaaS in resource units, metered per second with a one-minute minimum; pay per use or a monthly subscription; software you run yourself, on premises or in your own cloud, priced by entitlement.SaaSIn resource units, IBM’s unit for compute,metered per second with a one-minuteminimum.Pay per use or subscriptionPay per use by the resource unit, or amonthly subscription.Software you runSelf-managed, on premises or in your owncloud, priced by entitlement.The drawings show the kind of thing counted, not its size. Source: IBM, ibm.com/products/watsonx-data/pricing (read October 24, 2026).
How IBM counts watsonx.dataHow IBM counts watsonx.data, in three columns: SaaS in resource units, metered per second with a one-minute minimum; pay per use or a monthly subscription; software you run yourself, on premises or in your own cloud, priced by entitlement.SaaSIn resource units, IBM’s unit forcompute, metered per second with aone-minute minimum.Pay per use or subscriptionPay per use by the resource unit, or amonthly subscription.Software you runSelf-managed, on premises or in your owncloud, priced by entitlement.The drawings show the kind of thing counted,not its size. Source: IBM,ibm.com/products/watsonx-data/pricing (readOctober 24, 2026).
SaaS is metered in resource units; software you run yourself is priced by entitlement.

IBM meters watsonx.data SaaS in resource units, per second with a one-minute minimum, as pay per use or a monthly subscription. Software you run yourself is priced by entitlement. We size the engines with you before you order.

Three more products in the platform.

IBM watsonx.data intelligence for the catalog, quality and lineage. IBM Cloud Pak for Data for data analysis, built-in governance and the AI lifecycle on one platform. IBM Netezza Performance Server for the data warehouse, with Apache Iceberg and Parquet support.

Source: IBM’s watsonx.data page, opened October 24, 2026.

What you get.

If you lead data and AI.

You get one place to query the warehouse, the lake and the documents AI reads, with the engine fitted to each job and no copy made first.* Our engineering team sets it up with you.

If you answer for data governance.

You get a catalog, data quality checks and lineage across hybrid and multicloud environments, and data products with their governance attached. Our engineering team maps your sources with you.

If you are the CIO.

You get a data platform that runs as SaaS, self-managed or in your own cloud, sized before you order. Pay only for what you need. See your price first, within one business day.

You have real choices. Here is each one, plainly.

Keep the data platform you have.

Nothing to buy. Nothing to move. What watsonx.data adds will still be here when you are ready.

Buy from IBM itself.

IBM sells directly to fewer than about 100 companies and organizations in the United States. Everyone else buys through an IBM Business Partner. So the real choice is which partner.

Buy through another IBM Business Partner.

Same IBM software. Same IBM programs. Ask three things: who sizes your engines, how soon you see the price, and who stays with you until the first workload runs.

Choose a different data platform.

Right when your team already runs it everywhere. Compare three things: open table formats, queries without copying the data first, and one set of policies and lineage across every source.

Use your cloud provider’s data services.

Right when all of your data already lives in that one cloud. watsonx.data runs there too: IBM offers it on AWS, and in your own cloud.

Buy it through us.

You get the same IBM software. And you get our engineering team: we size the engines with you, show you your price first, and stay with you through setup and support.

IBM builds watsonx.data. We size it with you.

You see your price first.

Tell us what you’re after. One business day later you have a price, sized to fit, with nothing in it you don’t need.

Our engineering team owns it.

The engineers who size it set it up and stay through support. IBM Business Partner since 2008, 29 of 29 IBM proficiencies, one team the whole way.

It is our pleasure to meet you.

230 briefing centers in 113 cities. Pick one; one of our engineers brings the coffee. Or meet us online.

Our engineering team maps your data sources with you, sizes the engines and the deployment, gets the licensing right, then sets it up and supports it.

It would be our pleasure to size yours.

How our engineering team delivers

How our engineering team deliversFour steps on one line: size it, quote it, set it up, support it. Our engineering team does all four, and you see the price within one business day.01Size itWe size it with you andlicense it correctly.02Quote itYou see the pricewithin one business day.03Set it upWe set it up and staywith you through cutover.04Support itFrom sizing to support,our engineers stay with you.ONE BUSINESS DAYOUR ENGINEERING TEAM
How our engineering team deliversFour steps on one line: size it, quote it, set it up, support it. Our engineering team does all four, and you see the price within one business day.ONE BUSINESS DAYOUR ENGINEERING TEAM01Size itWe size it with you andlicense it correctly.02Quote itYou see the pricewithin one business day.03Set it upWe set it up and staywith you through cutover.04Support itFrom sizing to support,our engineers stay with you.
One of our engineers sizes your IBM solution with you, licenses it correctly, and you see the price within one business day. The same engineering team sets it up and stays with you through cutover.

Get it running.

Our engineering team, with IBM Expert Labs (formerly IBM Lab Services)

Plan.

We look at what you run today and agree the order of work with you. Delivered remotely.

Build.

We design it, install it and move your workloads across, then hand it over working. Delivered remotely.

Stay connected.

After go-live, IBM’s specialists stay on call beside our IBM engineers.

One statement of work and one invoice, from us.

One of our engineers replies within one business day.

How our services work

The proof.

IBM’s published results

50%shorter contract review time, with watsonx.data as one governed data platform.Dynamiq
About 30,000database tables governed across 45 systems, with Knowledge Catalog and Cloud Pak for Data.ELPEDISON
Zerodowntime moving on-premises Netezza to Netezza SaaS on AWS (IBM case study, 2024).Conestoga Wood Specialties

Source: IBM’s watsonx.data page, opened October 24, 2026.

Our trusted and valued customers are shown on our home page. It is our privilege to work for them. See our customers

We would rather tell you now. watsonx.data is not the fit if all of your data lives in one database that already answers your reports, or if what you need first is to move and transform data between systems. For that, ask us about watsonx.data integration. See IBM watsonx.data integration

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