arrow-datafusion VS tikv

Compare arrow-datafusion vs tikv and see what are their differences.

arrow-datafusion

Apache Arrow DataFusion and Ballista query engines (by apache)

tikv

Distributed transactional key-value database, originally created to complement TiDB (by tikv)
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arrow-datafusion tikv
22 8
1,537 10,521
11.1% 2.5%
9.8 9.8
6 days ago 6 days ago
Rust Rust
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

arrow-datafusion

Posts with mentions or reviews of arrow-datafusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-28.

tikv

Posts with mentions or reviews of tikv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-17.

What are some alternatives?

When comparing arrow-datafusion and tikv you can also consider the following projects:

redis-rs - Redis library for rust

rust-etcd - An etcd client library for Rust.

ClickHouse - ClickHouse® is a free analytics DBMS for big data

rust-rocksdb - rust wrapper for rocksdb

cassandra-rust

diesel - A safe, extensible ORM and Query Builder for Rust

rust-postgres - Native PostgreSQL driver for the Rust programming language

polars - Fast multi-threaded DataFrame library in Rust | Python | Node.js

cassandra-rs - Cassandra (CQL) driver for Rust, using the DataStax C/C++ driver under the covers.

db-benchmark - reproducible benchmark of database-like ops

leveldb

datafuse - An elastic and reliable Cloud Warehouse, offers Blazing Fast Query and combines Elasticity, Simplicity, Low cost of the Cloud, built to make the Data Cloud easy [Moved to: https://github.com/datafuselabs/databend]