dtm VS badger

Compare dtm vs badger and see what are their differences.

dtm

此仓库应常青藤爸爸要求,已停止维护,请移步 https://github.com/dtm-labs/dtf (by dtm-labs)
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dtm badger
20 30
5,149 13,347
- 1.2%
9.8 7.0
about 2 years ago 17 days ago
Go Go
BSD 3-clause "New" or "Revised" License 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.

dtm

Posts with mentions or reviews of dtm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-02.

badger

Posts with mentions or reviews of badger. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-16.

What are some alternatives?

When comparing dtm and badger you can also consider the following projects:

Seata - :fire: Seata is an easy-to-use, high-performance, open source distributed transaction solution.

goleveldb - LevelDB key/value database in Go.

go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support

temporal - Temporal service

bolt

bbolt - An embedded key/value database for Go.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

nutsdb - A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set.

cockroach - CockroachDB - the open source, cloud-native distributed SQL database.