Top AI tools for # stream processing

LakeSail's Sail is an open-source computation framework that unifies batch processing, stream processing, and compute-intensive AI workloads, offering 4x processing speed and 94% lower hardware costs compared to Apache Spark.

• Freemium

Pathway is a scalable data processing framework that enables you to build and power AI/ML applications with live data and real-time pipelines. It offers easy data ingest from 300+ sources and supports real-time features, live vector search, and anomaly alerts.

• Freemium
• From 499$

InfinyOn is a next-generation streaming platform that unifies data flows, accelerates processing with Rust and WebAssembly, and empowers developers to build responsive, intelligent applications at any scale.

• Usage Based

Bytewax is a complete data processing solution offering a Python-native, stateful stream processor for building and deploying real-time data pipelines.

• Free

Apache Samza is a distributed stream processing framework that allows you to build stateful applications for real-time data processing from multiple sources.

• Free

Airy is an open-source framework for building AI assistants on streaming data. It unifies data streaming, processing, and AI to deliver better context and accelerate AI development.

• Freemium
• From 49$

Streambased transforms real-time Kafka data into queryable Iceberg views instantly using a zero-copy approach, eliminating batch processing delays and data duplication for fresher analytics.

• Contact for Pricing

Quix is an AI-powered platform for engineering data management that automates test and development workflows, consolidates scattered data, and enables real-time analysis to accelerate R&D cycles.

• Freemium
• From 199$

GroveStreams is an AI-powered data streaming platform designed for businesses and Industrial IoT applications, helping over 25,000 users leverage their valuable data for innovation.

• Contact for Pricing