CrateIO vs FoundationDB vs RocksDB

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CrateIO

19
39
+ 1
7
FoundationDB

34
79
+ 1
21
RocksDB

140
290
+ 1
11
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Pros of CrateIO
Pros of FoundationDB
Pros of RocksDB
  • 3
    Simplicity
  • 2
    Scale
  • 2
    Open source
  • 6
    ACID transactions
  • 5
    Linear scalability
  • 3
    Multi-model database
  • 3
    Key-Value Store
  • 3
    Great Foundation
  • 1
    SQL Layer
  • 5
    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed

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What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

What is FoundationDB?

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

What is RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

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What companies use CrateIO?
What companies use FoundationDB?
What companies use RocksDB?
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    What tools integrate with CrateIO?
    What tools integrate with FoundationDB?
    What tools integrate with RocksDB?
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      Blog Posts

      Jan 26 2022 at 4:34AM

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      What are some alternatives to CrateIO, FoundationDB, and RocksDB?
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      Amazon S3
      Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
      See all alternatives