kosiew commented on code in PR #26926:
URL: https://github.com/apache/datafusion/pull/26926#discussion_r4450449878


##########
docs/source/user-guide/introduction.md:
##########
@@ -91,98 +91,83 @@ parallelized streaming execution plans, file format 
support, etc.
 
 ## Known Users
 
-Here are some active projects using DataFusion:
+Projects with a public GitHub repository must meet **all** of these criteria to
+appear in the active list:
+
+- At least one commit on the default branch in the last 6 months (calendar 
months).
+- At least 100 stars.
+- At least 5 contributors, as shown in the repository's GitHub sidebar.
 
- <!-- "Active" means github repositories that had at least one commit in the 
last 6 months -->
+Check these criteria when adding or updating an entry. Projects without a 
public
+repository must instead link to public evidence of DataFusion use, such as a 
blog
+post or documentation page. These criteria apply to Known Users, not the
+Integrations and Extensions lists below.
+
+Here are some active projects using DataFusion:
 
 - [Arroyo](https://github.com/ArroyoSystems/arroyo) Distributed stream 
processing engine in Rust
 - [ArkFlow](https://github.com/arkflow-rs/arkflow) High-performance Rust 
stream processing engine
-- [Auron] The Auron accelerator for big data engine (e.g., Spark, Flink) 
leverages native vectorized execution to accelerate query processing
-- [Ballista] Distributed SQL Query Engine
-- [CnosDB] Open Source Distributed Time Series Database
+- [Auron](https://github.com/apache/auron) The Auron accelerator for big data 
engine (e.g., Spark, Flink) leverages native vectorized execution to accelerate 
query processing
+- [Ballista](https://github.com/apache/datafusion-ballista) Distributed SQL 
Query Engine
+- [CnosDB](https://github.com/cnosdb/cnosdb) Open Source Distributed Time 
Series Database
 - [Comet](https://github.com/apache/datafusion-comet) Apache Spark native 
query execution plugin
-- [Cube Store] Cube’s universal semantic layer platform is the next evolution 
of OLAP technology for AI, BI, spreadsheets, and embedded analytics
+- [Cube Store](https://github.com/cube-js/cube.js/tree/master/rust) Cube’s 
universal semantic layer platform is the next evolution of OLAP technology for 
AI, BI, spreadsheets, and embedded analytics
 - [datafusion-dft](https://github.com/datafusion-contrib/datafusion-dft) 
Batteries included CLI, TUI, and server implementations for DataFusion.
-- [datapress](https://docs.datap-rs.org) An opinionated small and fast data 
server on parquet and delta tables.
 - [dbt Fusion engine](https://github.com/dbt-labs/dbt-fusion) The dbt Fusion 
engine, written in Rust, designed for speed and correctness with a native SQL 
understanding across DWH SQL dialects.
-- [delta-rs] Native Rust implementation of Delta Lake
-- [EDB Postgres Lakehouse] built with [Seafowl]
+- [delta-rs](https://github.com/delta-io/delta-rs) Native Rust implementation 
of Delta Lake
 - [Feldera](https://github.com/feldera/feldera) Fast query engine for 
incremental computation
-- [Funnel](https://funnel.io/) Data Platform powering Marketing Intelligence 
applications.
-- [GlareDB](https://github.com/GlareDB/glaredb) Fast SQL database for querying 
and analyzing distributed data.
-- [GreptimeDB] Open Source & Cloud Native Distributed Time Series Database
-- [hiop](https://hiop.io) Serverless Data Logistic Platform
-- [HoraeDB] Distributed Time-Series Database
-- [Hotdata](https://www.hotdata.dev) On-demand databases for AI agents with a 
unified query engine for vector, OLAP, and full-text search.
+- [Funnel](https://funnel.io/) Data Platform powering Marketing Intelligence 
applications. ([DataFusion 
use](https://funnel.io/devblog/the-data-that-wont-sit-still-engineering-at-the-edge-of-marketing-data))
+- [GreptimeDB](https://github.com/GreptimeTeam/greptimedb) Open Source & Cloud 
Native Distributed Time Series Database
+- [hiop](https://hiop.io) Serverless Data Logistic Platform ([DataFusion 
use](https://github.com/apache/datafusion/pull/18114))
+- [Hotdata](https://www.hotdata.dev) On-demand databases for AI agents with a 
unified query engine for vector, OLAP, and full-text search. ([DataFusion 
use](https://www.hotdata.dev/blog/bringing-ducklake-to-apache-datafusion))
 - [Iceberg-rust](https://github.com/apache/iceberg-rust) Rust implementation 
of Apache Iceberg
-- [IceGate](https://icegate.tech) Observability data lake engine for metrics, 
traces, logs, and events, built on Apache Iceberg with OpenTelemetry ingestion
-- [InfluxDB] Time Series Database
-- [Kamu] Planet-scale streaming data pipeline
+- [InfluxDB](https://github.com/influxdata/influxdb) Time Series Database
+- [Kamu](https://github.com/kamu-data/kamu-cli) Planet-scale streaming data 
pipeline
 - [Kubeflow Trainer](https://github.com/kubeflow/trainer) Kubernetes-native 
project designed for
   scalable LLMs fine-tuning and distributed AI model training.
 - [LakeSoul](https://github.com/lakesoul-io/LakeSoul) Open source LakeHouse 
framework with native IO in Rust.
-- [Lance](https://github.com/lancedb/lance) Modern columnar data format for ML
-- [OpenObserve] Distributed cloud native observability platform
+- [Lance](https://github.com/lance-format/lance) Modern columnar data format 
for ML
+- [OpenObserve](https://github.com/openobserve/openobserve) Distributed cloud 
native observability platform
 - [ParadeDB](https://github.com/paradedb/paradedb) PostgreSQL for Search & 
Analytics
-- [Parseable] Open columnar observability data lake platform for logs, 
metrics, and traces.
-- [Massive.com](https://massive.com/) Stock Market API
-- [Mycorr](https://mycorr.app) Shared, versioned tables with units, links and 
SQL for humans and agents
-- [qv] Quickly view your data
+- [Parseable](https://github.com/parseablehq/parseable) Open columnar 
observability data lake platform for logs, metrics, and traces.
+- [Massive.com](https://github.com/massive-com) Stock Market API
+- [Mycorr](https://mycorr.app) Shared, versioned tables with units, links and 
SQL for humans and agents ([DataFusion 
use](https://docs.mycorr.app/developers/mcp-server.html#querying-with-sql))
+- [qv](https://github.com/timvw/qv) Quickly view your data
 - [R2 Query Engine](https://blog.cloudflare.com/r2-sql-deep-dive/) 
Cloudflare's distributed engine for querying data in Iceberg Catalogs
 - [rerun.io](https://rerun.io/) Visualize and query robotics logs and 
transform them into training data.
-- [Restate](https://github.com/restatedev) Easily build resilient applications 
using distributed durable async/await
-- [ROAPI] Create full-fledged APIs for slowly moving datasets without writing 
a single line of code
+- [Restate](https://github.com/restatedev/restate) Easily build resilient 
applications using distributed durable async/await
 - [Sail](https://github.com/lakehq/sail) Unifying stream, batch and AI 
workloads with Apache Spark compatibility
 - [SedonaDB](https://github.com/apache/sedona-db) A single-node analytical 
database engine with geospatial as a first-class citizen

Review Comment:
   updated



-- 
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: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to