Confluent Cloud vs Pravega

Confluent Cloud is a managed data streaming platform built on a serverless Apache Kafka engine. It is designed for real-time streaming, event-driven applications, analytics, and AI/ML workloads. Cluster choices include Basic, Standard, Enterprise, and Freight, as well as Dedicated clusters with pre-provisioned resources. Confluent says its cloud-native engine adjusts cluster infrastructure to workload needs. Cluster Linking replicates, synchronizes, and shares data across regions, public clouds, and organizations. The service includes managed Kafka connectors for databases, data lakes, and warehouses, serverless processing with Apache Flink, and a managed Stream Governance suite. Tableflow can materialize Kafka topics and schemas as Apache Iceberg and Delta Lake tables. Listed security features include RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs. Users can manage clusters and topics through a web UI or CLI; supported client languages include Java, Python, .NET, Go, Node.js, and C/C++. It is available on AWS, Azure, and Google Cloud across more than 100 regions. A free plan is available; paid plans start at $385/mo, and new signups receive a 30-day trial.

Pravega is an open-source, self-hosted storage system built around durable append-only streams for continuous, unbounded data. Streams hold parallel byte sequences, can scale as ingestion changes, and use automatic tiering to scale-out storage. Data may be retained indefinitely, allowing applications to read current and historical events. Pravega describes exactly-once delivery and processing with ordering guarantees despite client, server, or network failures, and transactions can write event sets atomically. It targets streaming applications, IoT data, and batch or interactive analytics. Connectors are listed for Apache Flink, Spark, Hadoop, Presto, Boomi, and Apache NiFi; client languages include Java, Rust, and Python. Deployment options include a single-process standalone server or distributed mode with Docker Compose. Distributed production deployments list Java 11, supported long-term storage, ZooKeeper 3.6.3, and BookKeeper 4.14.1. TLS and role-based access control are configurable.