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Learn MorePros of CrateIO
Pros of FoundationDB
Pros of RocksDB
Pros of CrateIO
- Simplicity3
- Scale2
- Open source2
Pros of FoundationDB
- ACID transactions6
- Linear scalability5
- Multi-model database3
- Key-Value Store3
- Great Foundation3
- SQL Layer1
Pros of RocksDB
- Very fast5
- Made by Facebook3
- Consistent performance2
- Ability to add logic to the database layer where needed1
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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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Jobs that mention CrateIO, FoundationDB, and RocksDB as a desired skillset
What companies use CrateIO?
What companies use FoundationDB?
What companies use RocksDB?
What companies use CrateIO?
No companies found
What companies use FoundationDB?
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What tools integrate with CrateIO?
What tools integrate with FoundationDB?
What tools integrate with RocksDB?
What tools integrate with CrateIO?
What tools integrate with FoundationDB?
No integrations found
What tools integrate with RocksDB?
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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