Confluent Cloud

- Be an early-round company looking to scale (i.e., Series B and before with exceptions)

- Have been founded in the last 5 years

- Be ready to use the Confluent for Startups credits in the next 12 months

- Not previously received credits from other active benefit programs from Confluent

- Not already a Commit customer of Confluent

Fully managed data streaming

Stream and process real-time data without managing Apache Kafka infrastructure. This cloud-native platform runs on AWS, Microsoft Azure, and Google Cloud, with elastic scaling to accommodate changing workloads.

• Connect systems: Use fully managed connectors to move data between streams, databases, cloud services, and applications.
• Process data: Filter, join, enrich, and transform streams with serverless Apache Flink.
• Govern streams: Discover data, track its lineage, and manage schemas and data quality.
• Secure access: Apply role-based access controls, encryption, audit logs, and private networking.

• Spend less time managing Kafka: Fully managed infrastructure removes the need to install, upgrade, or patch Kafka server components, freeing teams to focus on building with real-time data.
• Scale with demand: Cloud-native autoscaling adjusts capacity to workloads without manual sizing or overprovisioning.
• Connect data systems faster: Pre-built, fully managed connectors simplify streaming data between Confluent Cloud and databases, data lakes, data warehouses, and other services.
• Process data in real time: Serverless Apache Flink lets teams filter, join, enrich, and transform streams without managing processing infrastructure.
• Make streams easier to trust and reuse: Stream Governance helps teams track data movement, discover streams, and maintain data quality.
• Protect sensitive data: Access controls, encryption, audit logs, and private networking support enterprise security needs.
• Connect environments: Cluster Linking supports data sharing and migration across clusters, regions, and clouds.