Confluent, Inc. provides a cloud-native data streaming platform for data in motion, helping organizations connect applications, operational systems, analytics environments, and AI workloads around continuously updated event streams. Its portfolio spans fully managed Confluent Cloud, self-managed Confluent Platform, private-cloud deployment with Confluent Private Cloud, and Bring Your Own Cloud deployment through WarpStream.
Across that platform, Confluent, Inc. combines Apache Kafka with stream processing, governance, data integration, table services, and AI-oriented capabilities so customers can build event-driven applications, real-time pipelines, analytics, and context-rich AI systems. It supports hybrid and multi-cloud deployment patterns across AWS, Microsoft Azure, and Google Cloud.
Offerings, Capabilities, and Integrations
Confluent, Inc. enables teams to ingest, move, govern, and process streaming data with managed and custom connectors, stream processing based on Apache Flink, and governance capabilities for lineage, cataloging, schema control, and data quality. These capabilities are designed to make streaming data reusable across operational, analytical, and AI-driven workloads rather than confined to point integrations.
Its deployment model is intentionally broad. Organizations can run the platform as a fully managed cloud service, self-manage it on premises or in private cloud environments, or keep raw data in their own cloud accounts with WarpStream. Confluent, Inc. also supports hybrid operations through Unified Stream Manager and offers marketplace-based procurement and billing across the major public clouds.
Products and Services
- Confluent Cloud: Fully managed cloud-native data streaming service that runs across AWS, Microsoft Azure, and Google Cloud, with integrated Kafka, stream processing, governance, and hybrid deployment support.
- Confluent Platform: Self-managed, enterprise-grade distribution of Apache Kafka for on-premises, private-cloud, and hybrid deployments, with tools for management, monitoring, and governance.
- Confluent Private Cloud: Self-managed private-cloud deployment of the data streaming platform built for multi-tenant environments that need cloud-like operations, centralized governance, and stricter security or data-sovereignty controls.
- WarpStream: Kafka-compatible Bring Your Own Cloud data streaming service that keeps raw data in the customer’s cloud environment and is positioned for organizations that want zero-access architecture and shared-responsibility operations.
- Connectors: Portfolio of pre-built, fully managed and custom connectors for connecting Kafka to external data sources and sinks without managing connector infrastructure directly.
- Stream Governance: Governance suite for streaming data that includes lineage, cataloging, and stream quality capabilities to help teams discover, understand, and control data in motion.
- Stream Processing: Stream processing offering built around Apache Flink for filtering, joining, enriching, and analyzing streaming data with cloud-native, serverless operation in Confluent Cloud and support for on-premises environments through Confluent Platform.
- Tableflow: Service that represents Kafka topics and schemas as Apache Iceberg or Delta Lake tables with zero ETL, making streaming data easier to use in lakehouse, warehouse, analytics, and AI environments.
- Confluent Intelligence: Fully managed service on Confluent Cloud for building real-time, context-rich AI systems, with managed ML functions, real-time context serving, and support for AI agents and RAG-style workloads.
- Streaming Agents: Capability for building, deploying, and orchestrating event-driven agents natively on Kafka and Apache Flink for real-time automation and multi-agent workflows.
- Unified Stream Manager: Centralized interface in Confluent Cloud for managing, monitoring, and governing self-managed Confluent Platform clusters alongside fully managed cloud environments.
- Confluent Private Cloud Gateway: Cloud-native Kafka proxy for private environments that centralizes connectivity, routing, security policy enforcement, and migration control between clients and Kafka clusters.
Target Customers
Confluent, Inc. targets software developers, data engineers, platform teams, and enterprise architects that need real-time data infrastructure for applications, pipelines, analytics, and AI. Its deployment options address cloud-first teams that want managed operations, enterprises that need self-managed or private-cloud control, and organizations with BYOC or data-residency requirements.
Its customer base spans large enterprises and digital-native organizations across financial services, retail, manufacturing, healthcare, insurance, logistics, technology, telecommunications, government, and travel-related sectors. Common buying scenarios include event-driven microservices, database pipelines, fraud detection, real-time analytics, AI initiatives, and customer experience modernization.
Cloud Integrations and Marketplace
- AWS Marketplace: Confluent Cloud is available through AWS Marketplace, including pay-as-you-go signup and AWS-billed procurement, and Confluent promotes AWS-based deployment and integration from its AWS partner resources.
- Microsoft Azure Marketplace: Confluent Cloud is available in Microsoft Azure Marketplace, including pay-as-you-go procurement. Microsoft also offers it as an Azure Native Integration with Azure portal provisioning, Microsoft Entra ID single sign-on, and unified Azure billing.
- Google Cloud Marketplace: Confluent Cloud is available through Google Cloud Marketplace, where customers can use existing Google Cloud billing and credits, and Confluent highlights streamlined procurement and billing through its Google Cloud partnership resources.
Key People
- Jay Kreps: CEO & Co-founder
- Jun Rao: Co-founder
- Rohan Sivaram: Chief Financial Officer
- Ryan Mac Ban: Chief Revenue Officer
- Shaun Clowes: Chief Product Officer
- Steve Deasy: Chief Technology Officer
- Stephanie Buscemi: Chief Marketing Officer
- Rey Perez: Chief Customer Officer
- Rebecca Chavez: Chief Legal Officer
- Colleen McCreary: Chief People Officer
Key Facts
- Headquarters: Mountain View, California, United States
- Employees: 3,241
- Annual Revenue: $1.17B
- Parent Company: IBM
- Subsidiaries: Approximately 26 subsidiaries, including Confluent Europe Ltd., Confluent Federal, LLC, Confluent International Holdings, Inc., and WarpStream Labs, Inc.
- Publicly Listed: No (subsidiary of IBM, NYSE: IBM; formerly NasdaqGS: CFLT)
Analyst Recognitions
- Gartner: 2025 Gartner Magic Quadrant for Data Integration Tools – Challenger.
- Forrester: The Forrester Wave™: Streaming Data Platforms, Q4 2025 – Leader.
- IDC: IDC MarketScape for Worldwide Analytic Stream Processing Software 2024 Vendor Assessment – Leader. IDC MarketScape for Worldwide Event Brokering Software 2024 Vendor Assessment – Leader.
