Stream Processing 2

Open-source Rust framework unifying stream, batch, and AI workloads for Big Data. LakeSail is an open-source Rust framework designed to unify stream processing, batch processing, and compute-intensive (AI) workloads. It aims to provide a developer-friendly, interoperable, and observable platform for Big Data and AI, offering a seamless transition from Apache Spark. LakeSail features a drop-in replacement for Spark SQL and the Spark DataFrame API, promising significant performance improvements and cost savings.

Open, developer-first stream-native integration platform for high-volume data pipelines. Orchesty is a developer-first, open integration platform and stream-native engine designed for building, orchestrating, and scaling high-volume, asynchronous data pipelines. It provides zero vendor lock-in with source-available transparency under the Elastic License, allowing users to deploy integrations via managed cloud or self-hosting. Built as integration infrastructure, it enables developers to handle mission-critical processes scaling from single events to millions of messages per day without data loss, featuring built-in rate limiters, AI-assisted connector generation, multitenant SaaS integration marketplace support, and real-time observability.