datafuse
arrow-datafusion
Our great sponsors
datafuse | arrow-datafusion | |
---|---|---|
18 | 55 | |
2,091 | 4,924 | |
- | 4.9% | |
0.0 | 9.9 | |
over 2 years ago | about 23 hours 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.
datafuse
-
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
-
Datafuse, An elastic and scalable Cloud Warehouse
Datafuse is currently in Alpha and is not ready to be used in production, Roadmap 2021
-
This week in Datafuse #5
v0.4.95-nightly
-
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.
-
Hacker News top posts: Aug 5, 2021
Datafuse โ Modern Real-Time Data Processing in Rust\ (8 comments)
-
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
-
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.
arrow-datafusion
-
Velox: Meta's Unified Execution Engine [pdf]
Python's Substrait seems like the biggest/most-used competitor-ish out there. I'd love some compare & contrast; my sense is that Substrait has a smaller ambition, and more wants to be a language for talking about execution rather than a full on execution engine. https://github.com/substrait-io/substrait
We can also see from the DataFusion discussion that they too see themselves as a bit of a Velox competitor. https://github.com/apache/arrow-datafusion/discussions/6441
-
What I Talk About When I Talk About Query Optimizer (Part 1): IR Design
Agree, substrait is a really cool project! Related: if you like substrait you might want to check out datafusion too. The project is a query execution engine built on top of Apache Arrow (with SQL parser, query planner & optimizer, execution engine, extensible user defined functions, among others) and it implements a substrait provider and consumer: https://github.com/apache/arrow-datafusion/tree/main/datafus...
-
DuckDB performance improvements with the latest release
The draft contains some preliminary benchmark results, comparing it to DuckDB.
- Apache Arrow DataFusion
-
GlareDB: An open source SQL database to query and analyze distributed data
Apache Arrow is a pretty common memory structure these days. Datafusion is an open query engine built in Rust started by Andy Grove.
-
DuckDB 0.8.0
DuckDB is a great piece of software if you are
If you are looking for a query engine implemented in a safe language (Rust) I definitely suggest checking out DataFusion. It is comparable to DuckDB in performance, has all the standard built in SQL functionality, and is extensible in pretty much all areas (query language, data formats, catalogs, user defined functions, etc)
https://arrow.apache.org/datafusion/
Disclaimer I am a maintainer of DataFusion
-
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
- Polars: Computing a new column from multiple columns - there must be a better way
-
Bridging Async and Sync Rust Code - A lesson learned while working with Tokio
Problem comes when you want to do this inside an async context since we couldn't block an async task. https://users.rust-lang.org/t/sync-function-invoking-async/43364/6 You might need to do it in another runtime/thread. It is not recommended to do this, but sometimes it is unavoidable while implementing a third-party trait. https://github.com/apache/arrow-datafusion/issues/3777 However, I believe this isn't a problem particular to tokio, or any specific runtime.
- Using Rust to write a Data Pipeline. Thoughts. Musings.
What are some alternatives?
fluvio - Lean and mean distributed stream processing system written in rust and web assembly.
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
risingwave - Scalable Postgres for stream processing, analytics, and management. KsqlDB and Apache Flink alternative. ๐ 10x more productive. ๐ 10x more cost-efficient.
ClickHouse - ClickHouseยฎ is a free analytics DBMS for big data
databend - ๐๐ฎ๐๐ฎ, ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
db-benchmark - reproducible benchmark of database-like ops
duckdb-rs - Ergonomic bindings to duckdb for Rust
nushell - A new type of shell
arrow2 - Transmute-free Rust library to work with the Arrow format
duckdb - DuckDB is an in-process SQL OLAP Database Management System