jupiter
Jupiter is a framework for wrapping compute or memory intense components to provide them as high throughput and ultra low latency services to applications using the Redis RESP protocol (by scireum)
flashdb
FlashDB is an embeddable, in-memory key/value database in Go (with Redis like commands and super easy to read) (by arriqaaq)
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.
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.
jupiter
Posts with mentions or reviews of jupiter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-14.
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Redcon - Redis compatible server framework for Rust
Shameless self-promotion: We did s.th. similar with jupiter (https://github.com/scireum/jupiter - we use this for ultra low latency „webservices“ from Java (e.g. tokenization…). Will definitely take a look, may we can exchange some ideas :)
flashdb
Posts with mentions or reviews of flashdb.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-14.
What are some alternatives?
When comparing jupiter and flashdb you can also consider the following projects:
IceFireDB - @IceFireLabs -> IceFireDB is a database built for web3.0 It strives to fill the gap between web2 and web3.0 with a friendly database experience, making web3 application data storage more convenient, and making it easier for web2 applications to achieve decentralization and data immutability.