IceFireDB VS act

Compare IceFireDB vs act and see what are their differences.

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. (by IceFireDB)
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IceFireDB act
29 2
1,075 188
0.8% 0.0%
9.3 3.9
2 days ago about 1 month ago
Go C
MIT License GNU General Public License v3.0 or later
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.

IceFireDB

Posts with mentions or reviews of IceFireDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-14.

act

Posts with mentions or reviews of act. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-26.
  • Probing My SSD's Latency
    2 projects | news.ycombinator.com | 26 Apr 2022
    The Aerospike ACT benchmarking tool characterizes flash devices on their latency under a fixed read/write profile. It won't tell you how fast your device is, it will tell you if a workload runs under a certain latency bound.

    https://docs.aerospike.com/server/operations/plan/ssd/ssd_ce...

    https://github.com/aerospike/act

    If you set

        max-lag-sec: 0
  • IceFireDB: Distributed disk storage database based on Raft and Redis protocol
    5 projects | news.ycombinator.com | 21 Aug 2021
    It depends, yes but ... (not discounting any of the above).

    One sees a lot of 3:1 in practice due to the replication factor. If you have 3 copies of the data and the client can read from any node, you get 3x the read performance as having to have a quorum write on two out of three nodes.

    To the GP, for a rough swag of what is possible out of given hardware, a combination of FIO and ACT (measures IO latency under a fixed load) is a good start.

    https://fio.readthedocs.io/en/latest/fio_doc.html

    https://github.com/aerospike/act

What are some alternatives?

When comparing IceFireDB and act you can also consider the following projects:

Tendis - Tendis is a high-performance distributed storage system fully compatible with the Redis protocol.

uhaha - High Availability Raft Framework for Go

fio - Flexible I/O Tester

ristretto - A high performance memory-bound Go cache

goleveldb - LevelDB key/value database in Go.

flashdb - FlashDB is an embeddable, in-memory key/value database in Go (with Redis like commands and super easy to read)

redix - a very simple pure key => value storage system that speaks Redis protocol with Postgres as storage engine and more

ledisdb - A high performance NoSQL Database Server powered by Go

space-daemon - The Space Daemon packages together IPFS, Textile Threads/Buckets, and Textile Powergate (Filecoin*) into one easy to install Daemon to make it easy to build peer to peer and privacy focused apps.

Tile38 - Real-time Geospatial and Geofencing

Olric - Distributed in-memory object store. It can be used as an embedded Go library and a language-independent service.