alamb commented on code in PR #26926: URL: https://github.com/apache/datafusion/pull/26926#discussion_r4447451558
########## 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 Review Comment: I think this project is technically called "Apache Auron" ########## 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: "Apache SedonaDB" ########## 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 Review Comment: Likewise, probably we should call it Apache Comet ########## 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 Review Comment: Can we call this "Cloudflare R2 Query Engine" ? ########## 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 - [Sleeper](https://github.com/gchq/sleeper) Serverless, cloud-native, log-structured merge tree based, scalable key-value store -- [Spice.ai] Building blocks for data-driven AI applications -- [Streamling](https://www.streamling.dev/) Data streaming runtime focused on performance, consistency, and extensibility -- [Supermetal](https://supermetal.io/) is a change data capture (CDC) platform that synchronizes data between databases, data warehouses, and lakehouses -- [Synnada] Streaming-first framework for data products -- [VegaFusion] Server-side acceleration for the [Vega](https://vega.github.io/) visualization grammar -- [Vortex] An extensible, state of the art columnar file format -- [Telemetry](https://telemetry.sh/) Structured logging made easy +- [Spice.ai](https://github.com/spiceai/spiceai) Building blocks for data-driven AI applications +- [Streamling](https://github.com/goldsky-io/streamling) Data streaming runtime focused on performance, consistency, and extensibility +- [Supermetal](https://supermetal.io/) is a change data capture (CDC) platform that synchronizes data between databases, data warehouses, and lakehouses ([DataFusion use](https://github.com/apache/datafusion/pull/23790)) +- [Synnada](https://synnada.ai/) Streaming-first framework for data products +- [Vortex](https://vortex.dev/) An extensible, state of the art columnar file format +- [Telemetry](https://telemetry.sh/) Structured logging made easy ([DataFusion use](https://telemetry.sh/docs/discussion-topics/datafusion-sql-reference)) - [Xorq](https://github.com/xorq-labs/xorq/) Xorq is a multi-engine batch transformation framework built on Ibis, DataFusion and Arrow -- [KalamDB](https://github.com/jamals86/KalamDB) SQL-first realtime state database for AI agents, chat products, and multi-tenant SaaS. - [Infino](https://github.com/infino-ai/infino) Fast retrieval engine for SQL, full-text search, and vector search over Parquet on object storage -Here are some less active projects that used DataFusion: +Here are other projects using or having used DataFusion, including less active +projects and projects that do not meet the active-list criteria: Review Comment: this is good ########## docs/source/user-guide/introduction.md: ########## @@ -75,13 +75,13 @@ latency). Here are some example systems built using DataFusion: -- Specialized Analytical Database systems such as [HoraeDB] and more general Apache Spark like system such as [Ballista] -- New query language engines such as [prql-query] and accelerators such as [VegaFusion] -- Research platform for new Database Systems, such as [Flock] -- SQL support to another library, such as [Vortex] -- Streaming data platforms such as [Synnada] -- Tools for reading / sorting / transcoding Parquet, CSV, AVRO, and JSON files such as [qv] -- Native Spark runtime replacement such as [Auron] +- Specialized Analytical Database systems such as [HoraeDB](https://github.com/apache/horaedb) and more general Apache Spark like system such as [Ballista](https://github.com/apache/datafusion-ballista) Review Comment: Given Horae DB is on the less active ones, maybe we can change this to be something like Open Observe? Also, citing CloudFlare R2 might be nice here as an example -- 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]
