DataFlint is an AI-powered platform for Apache Spark that enriches Spark logs and provides agentic tools to optimize job performance and reduce infrastructure costs. It includes multiple AI agents for job analysis, cluster management, and observability, targeting data engineers and enterprises running Spark workloads.
DataFlint sits in PulseGate's Autonomous agents & workflows category. It focuses on reducing the complexity and cost of managing and optimizing Apache Spark jobs using AI agents. It is built as a B2B product for data engineers and enterprises using Apache Spark. It follows a commercial open-source model under the Apache-2.0 license. It runs on the web and API.
DataFlint builds and maintains DataFlint, and it first shipped in 2023. Development happens publicly on GitHub with 472 stars and 43 commits in the last 90 days. Key capabilities include spark log enrichment, AI agents, and job optimization. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do