With over 9,100 GitHub stars and production deployments powering real-time analytics at companies like SHOPLINE where it reduced API latency by 76.7%, RisingWave is the PostgreSQL-compatible streaming database that collapses the traditional Debezium-plus-Kafka-plus-Flink-plus-serving-database stack into a single Rust-powered system. The platform continuously ingests data from PostgreSQL and MySQL via native CDC connectors that eliminate Debezium middleware, consumes Kafka, Redpanda, Pulsar, and Kinesis topics, accepts webhook events from SaaS applications, and batch-loads historical data from S3 and data warehouses. Standard SQL defines sources, materialized views, and sinks — no new DSL, no Java, and no custom API — while the PostgreSQL wire protocol means psql, DBeaver, pgAdmin, Grafana, Metabase, Superset, Tableau, and every PostgreSQL client library works without modification. Materialized views are incrementally maintained as events arrive, delivering point lookups in single-digit milliseconds without recomputing aggregates from scratch. For long-term retention, RisingWave writes to Apache Iceberg tables with a hosted REST catalog and automated table maintenance including compaction, small-file optimization, and snapshot cleanup, with data queryable by Spark, Trino, DuckDB, and DataFusion. The disaggregated compute-storage architecture uses S3-based state management for elastic scaling, instant failure recovery measured in seconds rather than the minutes-to-hours typical of RocksDB-based systems, and cost-efficient storage tiering. An MCP server enables AI agents to query and operate RisingWave directly. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Fluvio is a distributed data streaming platform that moves records between your applications on partitioned topics and transforms them in flight with WebAssembly modules before they land anywhere. Producers publish to topics and consumers read at their own pace, with client libraries for Rust, Python, and JavaScript plus a full command line for producing and consuming interactively. SmartModules are reusable WebAssembly functions that filter, reshape, and enrich records inside the stream, so cleanup and routing logic runs once at the platform layer instead of inside every consumer. Stateful DataFlow builds continuous processing on top of the same streams, keeping state across records to aggregate, join, and react as data arrives. Inbound connectors collect from HTTP endpoints, webhooks, MQTT brokers, and Kafka clusters, and outbound connectors deliver to HTTP, SQL databases, and Kafka, with a development kit for building connectors to your own systems. A local cluster starts with one command for development, and the same platform deploys on Kubernetes for production streaming at the edge or in the cloud. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.