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The following commit(s) were added to refs/heads/main by this push:
new 4c7833ebfd [DOCS]: consolidate doc site content simplify navbar (#5962)
4c7833ebfd is described below
commit 4c7833ebfdb2d022830bb97862e0ce36b0b3d6b1
Author: Andrew Lamb <[email protected]>
AuthorDate: Wed Apr 12 16:22:49 2023 -0400
[DOCS]: consolidate doc site content simplify navbar (#5962)
* [DOCS]: consolidate doc site content simplify navbar
* prettier
* Update docs/source/user-guide/faq.md
Co-authored-by: Ruihang Xia <[email protected]>
* Update versions to latest
* remove reundant example
* update duckdb link and polars description
* update velox link
* prettier
---------
Co-authored-by: Ruihang Xia <[email protected]>
---
docs/source/contributor-guide/architecture.md | 7 +-
docs/source/index.rst | 12 +--
docs/source/user-guide/cli.md | 2 +-
docs/source/user-guide/comparison.md | 52 -----------
docs/source/user-guide/example-usage.md | 61 ++++++++++++-
docs/source/user-guide/expressions.md | 2 +-
docs/source/user-guide/faq.md | 34 +++++++
docs/source/user-guide/integration.md | 35 -------
docs/source/user-guide/introduction.md | 68 +++++++++++++-
docs/source/user-guide/library.md | 127 --------------------------
docs/source/user-guide/sql/ddl.md | 2 +-
docs/source/user-guide/users.md | 67 --------------
12 files changed, 170 insertions(+), 299 deletions(-)
diff --git a/docs/source/contributor-guide/architecture.md
b/docs/source/contributor-guide/architecture.md
index 48c065f5b7..ef20644eaf 100644
--- a/docs/source/contributor-guide/architecture.md
+++ b/docs/source/contributor-guide/architecture.md
@@ -20,7 +20,8 @@
# Architecture
DataFusion's code structure and organization is described in the
-[Crate Documentation], to keep it as close to the source as
-possible.
+[crates.io documentation], to keep it as close to the source as
+possible. You can find the most up to date version in the [source code].
-[crate documentation]:
https://docs.rs/datafusion/latest/datafusion/index.html#code-organization
+[crates.io documentation]:
https://docs.rs/datafusion/latest/datafusion/index.html#code-organization
+[source code]:
https://github.com/apache/arrow-datafusion/blob/main/datafusion/core/src/lib.rs
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 79fbf498f4..83c517faf0 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -37,10 +37,9 @@ community.
:maxdepth: 1
:caption: Links
- Issue tracker <https://github.com/apache/arrow-datafusion/issues>
+ Github and Issue Tracker <https://github.com/apache/arrow-datafusion>
crates.io <https://crates.io/crates/datafusion>
- API Docs <https://docs.rs/datafusion/21.1.0/datafusion/>
- Github <https://github.com/apache/arrow-datafusion>
+ API Docs <https://docs.rs/datafusion/latest/datafusion/>
Code of conduct
<https://github.com/apache/arrow-datafusion/blob/main/CODE_OF_CONDUCT.md>
.. _toc.guide:
@@ -50,22 +49,17 @@ community.
user-guide/introduction
user-guide/example-usage
- user-guide/users
- user-guide/comparison
- user-guide/integration
- user-guide/library
user-guide/cli
user-guide/dataframe
user-guide/expressions
user-guide/sql/index
user-guide/configs
user-guide/faq
- Rust Crate Documentation <https://docs.rs/crate/datafusion/>
.. _toc.contributor-guide:
.. toctree::
- :maxdepth: 2
+ :maxdepth: 1
:caption: Contributor Guide
contributor-guide/index
diff --git a/docs/source/user-guide/cli.md b/docs/source/user-guide/cli.md
index ef65561f28..afe3821b2d 100644
--- a/docs/source/user-guide/cli.md
+++ b/docs/source/user-guide/cli.md
@@ -17,7 +17,7 @@
under the License.
-->
-# DataFusion Command-line SQL Utility
+# `datafusion-cli`
The DataFusion CLI is a command-line interactive SQL utility for executing
queries against any supported data files. It is a convenient way to
diff --git a/docs/source/user-guide/comparison.md
b/docs/source/user-guide/comparison.md
deleted file mode 100644
index 2cb13f326a..0000000000
--- a/docs/source/user-guide/comparison.md
+++ /dev/null
@@ -1,52 +0,0 @@
-<!---
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-
-# Comparisons to Other Projects
-
-When compared to similar systems, DataFusion typically is:
-
-1. Targeted at developers, rather than end users / data scientists.
-2. Designed to be embedded, rather than a complete file based SQL system.
-3. Governed by the [Apache Software Foundation](https://www.apache.org/)
process, rather than a single company or individual.
-4. Implemented in `Rust`, rather than `C/C++`
-
-Here is a comparison with similar projects that may help understand
-when DataFusion might be be suitable and unsuitable for your needs:
-
-- [DuckDB](http://www.duckdb.org) is an open source, in process analytic
database.
- Like DataFusion, it supports very fast execution, both from its custom file
format
- and directly from parquet files. Unlike DataFusion, it is written in C/C++
and it
- is primarily used directly by users as a serverless database and query
system rather
- than as a library for building such database systems.
-
-- [Polars](http://pola.rs): Polars is one of the fastest DataFrame
- libraries at the time of writing. Like DataFusion, it is also
- written in Rust and uses the Apache Arrow memory model, but unlike
- DataFusion it does not provide SQL nor as many extension points.
-
-- [Facebook Velox](https://engineering.fb.com/2022/08/31/open-source/velox/)
- is an execution engine. Like DataFusion, Velox aims to
- provide a reusable foundation for building database-like systems. Unlike
DataFusion,
- it is written in C/C++ and does not include a SQL frontend or planning
/optimization
- framework.
-
-- [Databend](https://github.com/datafuselabs/databend) is a complete
- database system. Like DataFusion it is also written in Rust and
- utilizes the Apache Arrow memory model, but unlike DataFusion it
- targets end-users rather than developers of other database systems.
diff --git a/docs/source/user-guide/example-usage.md
b/docs/source/user-guide/example-usage.md
index a2cd109a61..fd3c4cf183 100644
--- a/docs/source/user-guide/example-usage.md
+++ b/docs/source/user-guide/example-usage.md
@@ -26,7 +26,7 @@ In this example some simple processing is performed on the
[`example.csv`](../..
Add the following to your `Cargo.toml` file:
```toml
-datafusion = "11.0"
+datafusion = "22"
tokio = "1.0"
```
@@ -81,7 +81,7 @@ async fn main() -> datafusion::error::Result<()> {
+---+--------+
```
-# Identifiers and Capitalization
+## Identifiers and Capitalization
Please be aware that all identifiers are effectively made lower-case in SQL,
so if your csv file has capital letters (ex: `Name`) you must put your column
name in double quotes or the examples won't work.
@@ -141,3 +141,60 @@ async fn main() -> datafusion::error::Result<()> {
| 1 | 2 |
+---+--------+
```
+
+## Extensibility
+
+DataFusion is designed to be extensible at all points. To that end, you can
provide your own custom:
+
+- [x] User Defined Functions (UDFs)
+- [x] User Defined Aggregate Functions (UDAFs)
+- [x] User Defined Table Source (`TableProvider`) for tables
+- [x] User Defined `Optimizer` passes (plan rewrites)
+- [x] User Defined `LogicalPlan` nodes
+- [x] User Defined `ExecutionPlan` nodes
+
+## Rust Version Compatibility
+
+This crate is tested with the latest stable version of Rust. We do not
currently test against other, older versions of the Rust compiler.
+
+## Optimized Configuration
+
+For an optimized build several steps are required. First, use the below in
your `Cargo.toml`. It is
+worth noting that using the settings in the `[profile.release]` section will
significantly increase the build time.
+
+```toml
+[dependencies]
+datafusion = { version = "22.0" , features = ["simd"]}
+tokio = { version = "^1.0", features = ["rt-multi-thread"] }
+snmalloc-rs = "0.2"
+
+[profile.release]
+lto = true
+codegen-units = 1
+```
+
+Then, in `main.rs.` update the memory allocator with the below after your
imports:
+
+```rust
+use datafusion::prelude::*;
+
+#[global_allocator]
+static ALLOC: snmalloc_rs::SnMalloc = snmalloc_rs::SnMalloc;
+
+async fn main() -> datafusion::error::Result<()> {
+ Ok(())
+}
+```
+
+Finally, in order to build with the `simd` optimization `cargo nightly` is
required.
+
+```shell
+rustup toolchain install nightly
+```
+
+Based on the instruction set architecture you are building on you will want to
configure the `target-cpu` as well, ideally
+with `native` or at least `avx2`.
+
+```
+RUSTFLAGS='-C target-cpu=native' cargo +nightly run --release
+```
diff --git a/docs/source/user-guide/expressions.md
b/docs/source/user-guide/expressions.md
index 339bfadfe9..dbca3d01ca 100644
--- a/docs/source/user-guide/expressions.md
+++ b/docs/source/user-guide/expressions.md
@@ -17,7 +17,7 @@
under the License.
-->
-# Expressions
+# Expression API
DataFrame methods such as `select` and `filter` accept one or more logical
expressions and there are many functions
available for creating logical expressions. These are documented below.
diff --git a/docs/source/user-guide/faq.md b/docs/source/user-guide/faq.md
index 16a8873fff..18f0acfa4d 100644
--- a/docs/source/user-guide/faq.md
+++ b/docs/source/user-guide/faq.md
@@ -29,3 +29,37 @@ model and computational kernels. It is designed to run
within a single process,
for parallel query execution.
[Ballista](https://github.com/apache/arrow-ballista) is a distributed compute
platform built on DataFusion.
+
+# How does DataFusion Compare with `XYZ`?
+
+When compared to similar systems, DataFusion typically is:
+
+1. Targeted at developers, rather than end users / data scientists.
+2. Designed to be embedded, rather than a complete file based SQL system.
+3. Governed by the [Apache Software Foundation](https://www.apache.org/)
process, rather than a single company or individual.
+4. Implemented in `Rust`, rather than `C/C++`
+
+Here is a comparison with similar projects that may help understand
+when DataFusion might be be suitable and unsuitable for your needs:
+
+- [DuckDB](https://www.duckdb.org) is an open source, in process analytic
database.
+ Like DataFusion, it supports very fast execution, both from its custom file
format
+ and directly from parquet files. Unlike DataFusion, it is written in C/C++
and it
+ is primarily used directly by users as a serverless database and query
system rather
+ than as a library for building such database systems.
+
+- [Polars](http://pola.rs): Polars is one of the fastest DataFrame
+ libraries at the time of writing. Like DataFusion, it is also
+ written in Rust and uses the Apache Arrow memory model, but unlike
+ DataFusion it is not designed with as many extension points.
+
+- [Facebook Velox](https://github.com/facebookincubator/velox)
+ is an execution engine. Like DataFusion, Velox aims to
+ provide a reusable foundation for building database-like systems. Unlike
DataFusion,
+ it is written in C/C++ and does not include a SQL frontend or planning /
optimization
+ framework.
+
+- [Databend](https://github.com/datafuselabs/databend) is a complete
+ database system. Like DataFusion it is also written in Rust and
+ utilizes the Apache Arrow memory model, but unlike DataFusion it
+ targets end-users rather than developers of other database systems.
diff --git a/docs/source/user-guide/integration.md
b/docs/source/user-guide/integration.md
deleted file mode 100644
index bffa6b1893..0000000000
--- a/docs/source/user-guide/integration.md
+++ /dev/null
@@ -1,35 +0,0 @@
-<!---
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-
-# Integrations and Extensions
-
-There are a number of community projects that extend DataFusion or
-provide integrations with other systems.
-
-## Language Bindings
-
-- [datafusion-c](https://github.com/datafusion-contrib/datafusion-c)
-- [datafusion-python](https://github.com/apache/arrow-datafusion-python)
-- [datafusion-ruby](https://github.com/datafusion-contrib/datafusion-ruby)
-- [datafusion-java](https://github.com/datafusion-contrib/datafusion-java)
-
-## Integrations
-
--
[datafusion-bigtable](https://github.com/datafusion-contrib/datafusion-bigtable)
--
[datafusion-catalogprovider-glue](https://github.com/datafusion-contrib/datafusion-catalogprovider-glue)
diff --git a/docs/source/user-guide/introduction.md
b/docs/source/user-guide/introduction.md
index f906eac78c..62cebd5145 100644
--- a/docs/source/user-guide/introduction.md
+++ b/docs/source/user-guide/introduction.md
@@ -17,7 +17,7 @@
under the License.
-->
-# Features, and Usecases
+# Introduction
DataFusion is a very fast, extensible query engine for building
high-quality data-centric systems in [Rust](http://rustlang.org),
@@ -66,6 +66,72 @@ features, and avoid reimplementing general (but still
necessary)
features such as an expression representation, standard optimizations,
execution plans, file format support, etc.
+## Known Users
+
+Here are some of the projects known to use DataFusion:
+
+- [Ballista](https://github.com/apache/arrow-ballista) Distributed SQL Query
Engine
+- [Blaze](https://github.com/blaze-init/blaze) Spark accelerator with
DataFusion at its core
+- [CeresDB](https://github.com/CeresDB/ceresdb) Distributed Time-Series
Database
+- [Cloudfuse Buzz](https://github.com/cloudfuse-io/buzz-rust)
+- [CnosDB](https://github.com/cnosdb/cnosdb) Open Source Distributed Time
Series Database
+- [Cube Store](https://github.com/cube-js/cube.js/tree/master/rust)
+- [Dask SQL](https://github.com/dask-contrib/dask-sql) Distributed SQL query
engine in Python
+- [datafusion-tui](https://github.com/datafusion-contrib/datafusion-tui) Text
UI for DataFusion
+- [delta-rs](https://github.com/delta-io/delta-rs) Native Rust implementation
of Delta Lake
+- [Flock](https://github.com/flock-lab/flock)
+- [GreptimeDB](https://github.com/GreptimeTeam/greptimedb) Open Source & Cloud
Native Distributed Time Series Database
+- [InfluxDB IOx](https://github.com/influxdata/influxdb_iox) Time Series
Database
+- [Kamu](https://github.com/kamu-data/kamu-cli/) Planet-scale streaming data
pipeline
+- [Parseable](https://github.com/parseablehq/parseable) Log storage and
observability platform
+- [qv](https://github.com/timvw/qv) Quickly view your data
+- [ROAPI](https://github.com/roapi/roapi)
+- [Seafowl](https://github.com/splitgraph/seafowl) CDN-friendly analytical
database
+- [Synnada](https://synnada.ai/) Streaming-first framework for data products
+- [Tensorbase](https://github.com/tensorbase/tensorbase)
+- [VegaFusion](https://vegafusion.io/) Server-side acceleration for the
[Vega](https://vega.github.io/) visualization grammar
+- [ZincObserve](https://github.com/zinclabs/zincobserve) Distributed cloud
native observability platform
+
+[ballista]: https://github.com/apache/arrow-ballista
+[blaze]: https://github.com/blaze-init/blaze
+[ceresdb]: https://github.com/CeresDB/ceresdb
+[cloudfuse buzz]: https://github.com/cloudfuse-io/buzz-rust
+[cnosdb]: https://github.com/cnosdb/cnosdb
+[cube store]: https://github.com/cube-js/cube.js/tree/master/rust
+[dask sql]: https://github.com/dask-contrib/dask-sql
+[datafusion-tui]: https://github.com/datafusion-contrib/datafusion-tui
+[delta-rs]: https://github.com/delta-io/delta-rs
+[flock]: https://github.com/flock-lab/flock
+[kamu]: https://github.com/kamu-data/kamu-cli
+[greptime db]: https://github.com/GreptimeTeam/greptimedb
+[influxdb iox]: https://github.com/influxdata/influxdb_iox
+[parseable]: https://github.com/parseablehq/parseable
+[prql-query]: https://github.com/prql/prql-query
+[qv]: https://github.com/timvw/qv
+[roapi]: https://github.com/roapi/roapi
+[seafowl]: https://github.com/splitgraph/seafowl
+[synnada]: https://synnada.ai/
+[tensorbase]: https://github.com/tensorbase/tensorbase
+[vegafusion]: https://vegafusion.io/
+[zincobserve]: https://github.com/zinclabs/zincobserve "if you know of another
project, please submit a PR to add a link!"
+
+## Integrations and Extensions
+
+There are a number of community projects that extend DataFusion or
+provide integrations with other systems.
+
+### Language Bindings
+
+- [datafusion-c](https://github.com/datafusion-contrib/datafusion-c)
+- [datafusion-python](https://github.com/apache/arrow-datafusion-python)
+- [datafusion-ruby](https://github.com/datafusion-contrib/datafusion-ruby)
+- [datafusion-java](https://github.com/datafusion-contrib/datafusion-java)
+
+### Integrations
+
+-
[datafusion-bigtable](https://github.com/datafusion-contrib/datafusion-bigtable)
+-
[datafusion-catalogprovider-glue](https://github.com/datafusion-contrib/datafusion-catalogprovider-glue)
+
## Why DataFusion?
- _High Performance_: Leveraging Rust and Arrow's memory model, DataFusion is
very fast.
diff --git a/docs/source/user-guide/library.md
b/docs/source/user-guide/library.md
deleted file mode 100644
index c7cc1ec425..0000000000
--- a/docs/source/user-guide/library.md
+++ /dev/null
@@ -1,127 +0,0 @@
-<!---
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-
-# Using DataFusion as a library
-
-## Create a new project
-
-```shell
-cargo new hello_datafusion
-```
-
-```shell
-$ cd hello_datafusion
-$ tree .
-.
-├── Cargo.toml
-└── src
- └── main.rs
-
-1 directory, 2 files
-```
-
-## Default Configuration
-
-DataFusion is [published on crates.io](https://crates.io/crates/datafusion),
and is [well documented on docs.rs](https://docs.rs/datafusion/).
-
-To get started, add the following to your `Cargo.toml` file:
-
-```toml
-[dependencies]
-datafusion = "11.0"
-```
-
-## Create a main function
-
-Update the main.rs file with your first datafusion application based on
[Example
usage](https://arrow.apache.org/datafusion/user-guide/example-usage.html)
-
-```rust
-use datafusion::prelude::*;
-
-#[tokio::main]
-async fn main() -> datafusion::error::Result<()> {
- // register the table
- let ctx = SessionContext::new();
- ctx.register_csv("test", "<PATH_TO_YOUR_CSV_FILE>",
CsvReadOptions::new()).await?;
-
- // create a plan to run a SQL query
- let df = ctx.sql("SELECT * FROM test").await?;
-
- // execute and print results
- df.show().await?;
- Ok(())
-}
-```
-
-## Extensibility
-
-DataFusion is designed to be extensible at all points. To that end, you can
provide your own custom:
-
-- [x] User Defined Functions (UDFs)
-- [x] User Defined Aggregate Functions (UDAFs)
-- [x] User Defined Table Source (`TableProvider`) for tables
-- [x] User Defined `Optimizer` passes (plan rewrites)
-- [x] User Defined `LogicalPlan` nodes
-- [x] User Defined `ExecutionPlan` nodes
-
-## Rust Version Compatibility
-
-This crate is tested with the latest stable version of Rust. We do not
currently test against other, older versions of the Rust compiler.
-
-## Optimized Configuration
-
-For an optimized build several steps are required. First, use the below in
your `Cargo.toml`. It is
-worth noting that using the settings in the `[profile.release]` section will
significantly increase the build time.
-
-```toml
-[dependencies]
-datafusion = { version = "11.0" , features = ["simd"]}
-tokio = { version = "^1.0", features = ["rt-multi-thread"] }
-snmalloc-rs = "0.2"
-
-[profile.release]
-lto = true
-codegen-units = 1
-```
-
-Then, in `main.rs.` update the memory allocator with the below after your
imports:
-
-```rust
-use datafusion::prelude::*;
-
-#[global_allocator]
-static ALLOC: snmalloc_rs::SnMalloc = snmalloc_rs::SnMalloc;
-
-async fn main() -> datafusion::error::Result<()> {
- Ok(())
-}
-```
-
-Finally, in order to build with the `simd` optimization `cargo nightly` is
required.
-
-```shell
-rustup toolchain install nightly
-```
-
-Based on the instruction set architecture you are building on you will want to
configure the `target-cpu` as well, ideally
-with `native` or at least `avx2`.
-
-```
-RUSTFLAGS='-C target-cpu=native' cargo +nightly run --release
-```
diff --git a/docs/source/user-guide/sql/ddl.md
b/docs/source/user-guide/sql/ddl.md
index 29a156bd01..8de29b4e50 100644
--- a/docs/source/user-guide/sql/ddl.md
+++ b/docs/source/user-guide/sql/ddl.md
@@ -98,7 +98,7 @@ WITH ORDER (sort_expression1 [ASC | DESC] [NULLS { FIRST |
LAST }]
[, sort_expression2 [ASC | DESC] [NULLS { FIRST | LAST }] ...])
```
-#### Cautions When Using the WITH ORDER Clause
+### Cautions When Using the WITH ORDER Clause
- It's important to understand that using the `WITH ORDER` clause in the
`CREATE EXTERNAL TABLE` statement only specifies the order in which the data
should be read from the external file. If the data in the file is not already
sorted according to the specified order, then the results may not be correct.
diff --git a/docs/source/user-guide/users.md b/docs/source/user-guide/users.md
deleted file mode 100644
index 0d259c8de3..0000000000
--- a/docs/source/user-guide/users.md
+++ /dev/null
@@ -1,67 +0,0 @@
-<!---
- Licensed to the Apache Software Foundation (ASF) under one
- or more contributor license agreements. See the NOTICE file
- distributed with this work for additional information
- regarding copyright ownership. The ASF licenses this file
- to you under the Apache License, Version 2.0 (the
- "License"); you may not use this file except in compliance
- with the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing,
- software distributed under the License is distributed on an
- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
- KIND, either express or implied. See the License for the
- specific language governing permissions and limitations
- under the License.
--->
-
-# Known Users
-
-Here are some of the projects known to use DataFusion:
-
-- [Ballista](https://github.com/apache/arrow-ballista) Distributed SQL Query
Engine
-- [Blaze](https://github.com/blaze-init/blaze) Spark accelerator with
DataFusion at its core
-- [CeresDB](https://github.com/CeresDB/ceresdb) Distributed Time-Series
Database
-- [Cloudfuse Buzz](https://github.com/cloudfuse-io/buzz-rust)
-- [CnosDB](https://github.com/cnosdb/cnosdb) Open Source Distributed Time
Series Database
-- [Cube Store](https://github.com/cube-js/cube.js/tree/master/rust)
-- [Dask SQL](https://github.com/dask-contrib/dask-sql) Distributed SQL query
engine in Python
-- [datafusion-tui](https://github.com/datafusion-contrib/datafusion-tui) Text
UI for DataFusion
-- [delta-rs](https://github.com/delta-io/delta-rs) Native Rust implementation
of Delta Lake
-- [Flock](https://github.com/flock-lab/flock)
-- [GreptimeDB](https://github.com/GreptimeTeam/greptimedb) Open Source & Cloud
Native Distributed Time Series Database
-- [InfluxDB IOx](https://github.com/influxdata/influxdb_iox) Time Series
Database
-- [Kamu](https://github.com/kamu-data/kamu-cli/) Planet-scale streaming data
pipeline
-- [Parseable](https://github.com/parseablehq/parseable) Log storage and
observability platform
-- [qv](https://github.com/timvw/qv) Quickly view your data
-- [ROAPI](https://github.com/roapi/roapi)
-- [Seafowl](https://github.com/splitgraph/seafowl) CDN-friendly analytical
database
-- [Synnada](https://synnada.ai/) Streaming-first framework for data products
-- [Tensorbase](https://github.com/tensorbase/tensorbase)
-- [VegaFusion](https://vegafusion.io/) Server-side acceleration for the
[Vega](https://vega.github.io/) visualization grammar
-- [ZincObserve](https://github.com/zinclabs/zincobserve) Distributed cloud
native observability platform
-
-[ballista]: https://github.com/apache/arrow-ballista
-[blaze]: https://github.com/blaze-init/blaze
-[ceresdb]: https://github.com/CeresDB/ceresdb
-[cloudfuse buzz]: https://github.com/cloudfuse-io/buzz-rust
-[cnosdb]: https://github.com/cnosdb/cnosdb
-[cube store]: https://github.com/cube-js/cube.js/tree/master/rust
-[dask sql]: https://github.com/dask-contrib/dask-sql
-[datafusion-tui]: https://github.com/datafusion-contrib/datafusion-tui
-[delta-rs]: https://github.com/delta-io/delta-rs
-[flock]: https://github.com/flock-lab/flock
-[kamu]: https://github.com/kamu-data/kamu-cli
-[greptime db]: https://github.com/GreptimeTeam/greptimedb
-[influxdb iox]: https://github.com/influxdata/influxdb_iox
-[parseable]: https://github.com/parseablehq/parseable
-[prql-query]: https://github.com/prql/prql-query
-[qv]: https://github.com/timvw/qv
-[roapi]: https://github.com/roapi/roapi
-[seafowl]: https://github.com/splitgraph/seafowl
-[synnada]: https://synnada.ai/
-[tensorbase]: https://github.com/tensorbase/tensorbase
-[vegafusion]: https://vegafusion.io/
-[zincobserve]: https://github.com/zinclabs/zincobserve "if you know of another
project, please submit a PR to add a link!"
