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DirectoryData & AnalyticsStreaming & Real-Time AnalyticsConfluent

Confluent

About Confluent

Confluent's platform allows organizations to stream, connect, process, and govern data in real time. It is offered as a cloud-native service that can be deployed in various environments. The platform supports building event-driven applications and microservices. It also provides pre-built integrations for connecting legacy databases and SaaS applications.

Products

  • Confluent Private Cloud: Transforms self-managed Apache Kafka into an automated, multi-tenant platform running on private infrastructure.
  • Confluent for Kubernetes: Automates Day-2 operations of Kafka deployments such as scaling, upgrades, and disaster recovery.
  • Control Center: A graphical UI for managing Kafka operations and data pipelines.

Used for

  • Detecting fraud in milliseconds.
  • Analyzing risk in real time for decision-making.
  • Powering real-time payments.
  • Connecting systems across environments.

From Confluent's own website, read 2026-10-23. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Confluent. It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

www.confluent.io Pricing page
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics
DeploymentCloud, Self-hosted, Hybrid, Multicloud
PricingUsage-based

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Buyer Guide
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