alamb commented on code in PR #15895: URL: https://github.com/apache/datafusion/pull/15895#discussion_r2067724398
########## docs/source/user-guide/introduction.md: ########## @@ -120,11 +120,11 @@ Here are some active projects using DataFusion: - [Polygon.io](https://polygon.io/) Stock Market API - [qv](https://github.com/timvw/qv) Quickly view your data - [Restate](https://github.com/restatedev) Easily build resilient applications using distributed durable async/await -- [ROAPI](https://github.com/roapi/roapi) -- [Sail](https://github.com/lakehq/sail) Unifying stream, batch, and AI workloads with Apache Spark compatibility +- [ROAPI](https://github.com/roapi/roapi) Create full-fledged APIs for slowly moving datasets without writing a single line of code +- [Sail](https://github.com/lakehq/sail) Unifying stream, batch and AI workloads with Apache Spark compatibility - [Seafowl](https://github.com/splitgraph/seafowl) CDN-friendly analytical database - [Sleeper](https://github.com/gchq/sleeper) Serverless, cloud-native, log-structured merge tree based, scalable key-value store -- [Spice.ai](https://github.com/spiceai/spiceai) Unified SQL query interface & materialization engine +- [Spice.ai](https://github.com/spiceai/spiceai) Building blocks for data-driven AI applications Review Comment: FYI @phillipleblanc ########## docs/source/user-guide/introduction.md: ########## @@ -120,11 +120,11 @@ Here are some active projects using DataFusion: - [Polygon.io](https://polygon.io/) Stock Market API - [qv](https://github.com/timvw/qv) Quickly view your data - [Restate](https://github.com/restatedev) Easily build resilient applications using distributed durable async/await -- [ROAPI](https://github.com/roapi/roapi) -- [Sail](https://github.com/lakehq/sail) Unifying stream, batch, and AI workloads with Apache Spark compatibility +- [ROAPI](https://github.com/roapi/roapi) Create full-fledged APIs for slowly moving datasets without writing a single line of code +- [Sail](https://github.com/lakehq/sail) Unifying stream, batch and AI workloads with Apache Spark compatibility Review Comment: FYI @shehabgamin -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: github-unsubscr...@datafusion.apache.org For additional commands, e-mail: github-h...@datafusion.apache.org
