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IBM software · Data streaming

Kafka, fully managed, with a 99.99% uptime SLA.* Your price in one business day.

For the teams who move data between systems: IBM Confluent Cloud, sized to your throughput and connectors by our engineering team and priced before you commit.

One of our engineers replies within one business day.

* IBM’s figure, for production workloads, printed below with its source.

IBM Confluent at first lightA line drawing of a streaming platform standing on the horizon with the sun rising behind it: a database and a cloud on the left send events into the platform, which streams them on to an open table and an AI agent on the right. One event on its way is lit.
IBM Confluent at first lightA line drawing of a streaming platform standing on the horizon with the sun rising behind it: a database and a cloud on the left send events into the platform, which streams them on to an open table and an AI agent on the right. One event on its way is lit.

Your next pipeline acts as events arrive.

  • It runs Apache Kafka fully managed, with a 99.99% uptime SLA.*
  • It connects databases, SaaS apps and on-premises systems through 150 pre-built connectors.*
  • It serves governed, replayable data streams to AI agents and applications.

The pipelines you run today may be serving you well. This is what IBM Confluent adds.

We size it with you. You see your price first, within one business day. Where you want to try it first, IBM offers a free trial, and one of our engineers sets it up beside you.

Stream, process, govern, one platform.

How IBM Confluent works: connect, process, governThree steps on one line. Connect: 150 pre-built connectors for databases, SaaS apps, on-premises systems and cloud services. Process: fully managed Apache Flink processes the streams in real time. Govern: built-in governance and data quality tools, and Tableflow turns streams into open tables for a data lake.01Connect150 pre-built connectors for databases,SaaS apps, on-premises systems andcloud services.02ProcessFully managed Apache Flink processesthe streams in real time.03GovernBuilt-in governance and data qualitytools; Tableflow turns streams intoopen tables.IBM lists six parts of the platform: Stream, Connect, Govern, Process, Tableflow and Intelligence. Source: IBM, ibm.com/products/confluent (read October 24, 2026).
How IBM Confluent works: connect, process, governThree steps on one line. Connect: 150 pre-built connectors for databases, SaaS apps, on-premises systems and cloud services. Process: fully managed Apache Flink processes the streams in real time. Govern: built-in governance and data quality tools, and Tableflow turns streams into open tables for a data lake.01Connect150 pre-built connectors for databases,SaaS apps, on-premises systems andcloud services.02ProcessFully managed Apache Flink processes thestreams in real time.03GovernBuilt-in governance and data qualitytools; Tableflow turns streams into opentables.IBM lists six parts of the platform: Stream,Connect, Govern, Process, Tableflow andIntelligence. Source: IBM,ibm.com/products/confluent (read October 24,2026).
One IBM platform to connect, process and govern your streams.

Connected, not coded.

IBM counts 150 pre-built connectors for databases, SaaS apps, on-premises systems and cloud services.

Processed as it streams.

Fully managed Apache Flink processes the streams in real time, for low-latency analytics.

Governed, then turned into tables.

Built-in governance and data quality tools come with the platform. Tableflow turns streams into open tables for your data lake.

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

Three of IBM’s own figures.

IBM Confluent Cloud in three of IBM’s figuresThree of IBM’s figures for IBM Confluent Cloud: a 99.99% uptime SLA for production workloads; 150 pre-built connectors; GBps+ workloads with elastic scaling. The drawing shows one stream of events from a database to an open table. Each figure is IBM’s, from its IBM Confluent page. Confluent’s own page states that the 99.99% uptime SLA applies to production workloads; IBM states no test conditions for the other two.99.99%uptime SLA*IBM states it for IBM Confluent Cloud, forproduction workloads.150pre-built connectors*For databases, SaaS apps, on-premises systemsand cloud services.GBps+workloads*IBM says IBM Confluent Cloud supports them,with elastic scaling.* Each figure is IBM’s, from its IBM Confluent page. Confluent’s own page states that the 99.99% uptime SLA applies to production workloads; IBM states no testconditions for the other two.Sources: ibm.com/products/confluent and confluent.io (both read October 24, 2026).
IBM Confluent Cloud in three of IBM’s figuresThree of IBM’s figures for IBM Confluent Cloud: a 99.99% uptime SLA for production workloads; 150 pre-built connectors; GBps+ workloads with elastic scaling. The drawing shows one stream of events from a database to an open table. Each figure is IBM’s, from its IBM Confluent page. Confluent’s own page states that the 99.99% uptime SLA applies to production workloads; IBM states no test conditions for the other two.99.99%uptime SLA*IBM states it for IBM Confluent Cloud, forproduction workloads.150pre-built connectors*For databases, SaaS apps, on-premisessystems and cloud services.GBps+workloads*IBM says IBM Confluent Cloud supports them,with elastic scaling.* Each figure is IBM’s, from its IBM Confluentpage. Confluent’s own page states that the99.99% uptime SLA applies to productionworkloads; IBM states no test conditions forthe other two.Sources: ibm.com/products/confluent andconfluent.io (both read October 24, 2026).
Three of IBM’s own figures, with their source.

A 99.99% uptime SLA.

IBM states a 99.99% uptime SLA for IBM Confluent Cloud.*

150 pre-built connectors.

IBM counts 150 pre-built connectors on its IBM Confluent page.*

GBps+ workloads.

IBM says IBM Confluent Cloud supports GBps+ workloads, with elastic scaling.*

* Each figure is IBM’s, from its IBM Confluent page, read October 24, 2026. Confluent’s own page states that the 99.99% uptime SLA applies to production workloads. IBM states no test conditions for the other two.

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

Four editions. We count yours first.

IBM Confluent in four editionsIBM Confluent's four editions as IBM lists them: Cloud, a fully managed Kafka service; Platform, self-managed on premises; Private Cloud, on-premises control with the automation of a cloud service; WarpStream, Kafka-compatible streaming in your private cloud.CloudA fully managed Kafka service.PlatformSelf-managed, on premises.Private CloudOn-premises control with theautomation of a cloud service.WarpStreamKafka-compatible streaming inyour private cloud.The drawings show where each edition runs, not its size. Source: IBM, ibm.com/products/confluent (read October 24, 2026).
IBM Confluent in four editionsIBM Confluent's four editions as IBM lists them: Cloud, a fully managed Kafka service; Platform, self-managed on premises; Private Cloud, on-premises control with the automation of a cloud service; WarpStream, Kafka-compatible streaming in your private cloud.CloudA fully managed Kafka service.PlatformSelf-managed, on premises.Private CloudOn-premises control with the automationof a cloud service.WarpStreamKafka-compatible streaming in yourprivate cloud.The drawings show where each edition runs,not its size. Source: IBM,ibm.com/products/confluent (read October 24,2026).
Four editions. We count yours before you order.

IBM lists four editions: Cloud, a fully managed Kafka service; Platform, self-managed on premises; Private Cloud, on-premises control with the automation of a cloud service; and WarpStream, Kafka-compatible streaming in your private cloud. Confluent Cloud runs on AWS, Microsoft Azure and Google Cloud.

We count your throughput, connectors and stream processing with you before the quote, so you know the number before you order.

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

What you get.

If you own data and analytics.

You get events from your databases, SaaS apps and on-premises systems as they happen, through 150 pre-built connectors,* governed and written to open tables. Our engineering team maps your sources with you.

If you build the applications.

You get Kafka without clusters to run yourself, and Apache Flink for stream processing in the same platform. Start on IBM’s free trial. One of our engineers sets it up beside you.

If you are the CIO.

You get real-time data for your applications, analytics and AI under a 99.99% uptime SLA,* in the edition that fits your estate. 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 pipelines you have.

Nothing to buy. Nothing to move. What IBM Confluent 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 Confluent. Same IBM programs. Ask three things: who sizes your throughput and connectors, how soon you see the price, and who is with you through setup.

Choose a different streaming platform.

Right when your team already runs it everywhere. Compare three things: the uptime SLA in writing, the count of pre-built connectors, and stream processing in the same platform.

Run open-source Kafka yourself.

Right when your team already operates Kafka clusters and wants that work in house. If you want IBM’s platform there too, IBM Confluent Platform is self-managed, on premises.

Buy it through us.

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

IBM builds the streaming platform. 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 event sources and connectors, sizes the clusters and the Flink processing, gets the licensing right, then sets it up and supports you as data volumes grow.

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)

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

1Bevents a month, processed for its AI-powered supply chain.GEP
100M+users a day, served by AI capabilities Notion runs on IBM Confluent.Notion

Source: IBM’s IBM Confluent 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. IBM Confluent is not the fit if your systems exchange data in scheduled batches that already meet every deadline, or if what you need is guaranteed messaging between a few applications rather than event streams at scale. For that last one, ask us about IBM MQ. See IBM MQ

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Software: IBM Confluent Cloud

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