arrow2
datafuse
Our great sponsors
| arrow2 | datafuse | |
|---|---|---|
| 25 | 18 | |
| 1,071 | 2,091 | |
| - | - | |
| 0.0 | 0.0 | |
| 2 months ago | over 2 years ago | |
| Rust | Rust | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
arrow2
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Polars: Company Formation Announcement
One of the interesting components of Polars that I've been watching is the use of the Apache Arrow memory format, which is a standard layout for data in memory that enables processing (querying, iterating, calculating, etc) in a language agnostic way, in particular without having to copy/convert it into the local object format first. This enables cross-language data access by mmaping or transferring a single buffer, with zero [de]serialization overhead.
For some history, there's has been a bit of contention between the official arrow-rs implementation and the arrow2 implementation created by the polars team which includes some extra features that they find important. I think the current status is that everyone agrees that having two crates that implement the same standard is not ideal, and they are working to port any necessary features to the arrow-rs crate and plan on eventually switching to it and deprecating arrow2. But that's not easy.
https://github.com/apache/arrow-rs/issues/1176
https://github.com/jorgecarleitao/arrow2/pull/1476
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Data Engineering with Rust
https://github.com/jorgecarleitao/arrow2 https://github.com/apache/arrow-datafusion https://github.com/apache/arrow-ballista https://github.com/pola-rs/polars https://github.com/duckdb/duckdb
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Polars[Query Engine/ DataFrame] 0.28.0 released :)
Currently datafusion and polars aren't directly operable iirc because they use different underlying arrows implementations, but there seems to be work being done on that here https://github.com/jorgecarleitao/arrow2/issues/1429
- Arrow2 0.15 has been released. Happy festivities everyone =)
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Rust is showing a lot of promise in the DataFrame / tabular data space
[arrow2](https://github.com/jorgecarleitao/arrow2) and [parquet2](https://github.com/jorgecarleitao/parquet2) are great foundational libraries for and DataFrame libs in Rust.
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Matano - Open source security lake built with Arrow2 + Rust
[1] https://github.com/jorgecarleitao/arrow2
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Polars 0.23.0 released
In lockstep with arrow2's 0.13 release, we have published polars 0.23.0.
- Arrow2 v0.13.0, now with support to read Apache ORC and COW semantics!
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::lending-iterator โ Lending/streaming Iterators on Stable Rust (and a pinch of HKT)
This is so freaking life-saving! - we have been using StreamingIterator and FallibleStreamingIterator in libraries (arrow2 and parquet2) and the existing landscape is quite confusing for new users!
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Mssql :(
arrow2 has support for mssql via ODBC (which microsoft has first class support to). Here are the integration tests we have (both read and write) against mssql specifically.
datafuse
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This week in Datafuse #6
v0.4.102-nightly
- "DataFuse" project name is too similar to "DataFusion"; maintainers invited rename suggestions, then stated the name would not change
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Datafuse, An elastic and scalable Cloud Warehouse
Datafuse is currently in Alpha and is not ready to be used in production, Roadmap 2021
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This week in Datafuse #5
v0.4.95-nightly
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Datafuse โ Modern Real-Time Data Processing in Rust
1. With the improvement of the rust ecosystem, using rust has made database development faster and easy, for example datafuse use the tokio to implement the pipeline https://github.com/datafuselabs/datafuse/tree/master/fuseque....
2. Couldn't agree with you more with easier-to-manage as a first-class feature, but some times easier-to-manage is built on stability, that's what datafuse is trying to do.
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Hacker News top posts: Aug 5, 2021
Datafuse โ Modern Real-Time Data Processing in Rust\ (8 comments)
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This Week in Rust #402
Datafuse even borrows code from datafusion, which makes the name choice seem intentionally confusing. https://github.com/datafuselabs/datafuse/issues/654
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This week in Datafuse #1
Datafuse - A Modern Real-Time Data Processing & Analytics DBMS with Cloud-Native Architecture, built to make the Data Cloud easy. Written in Rust.
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
fluvio - Lean and mean distributed stream processing system written in rust and web assembly.
arrow-datafusion - Apache DataFusion SQL Query Engine
risingwave - Cloud-native SQL stream processing, analytics, and management. KsqlDB and Apache Flink alternative. ๐ 10x more productive. ๐ 10x more cost-efficient.
db-benchmark - reproducible benchmark of database-like ops
databend - ๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
arrow-rs - Official Rust implementation of Apache Arrow
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
duckdb-rs - Ergonomic bindings to duckdb for Rust
explorer - Series (one-dimensional) and dataframes (two-dimensional) for fast and elegant data exploration in Elixir
ClickHouse - ClickHouseยฎ is a free analytics DBMS for big data