DBMS > CockroachDB vs. Datomic vs. Faircom DB vs. Redis vs. RocksDB
System Properties Comparison CockroachDB vs. Datomic vs. Faircom DB vs. Redis vs. RocksDB
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Name | CockroachDB Xexclude from comparison | Datomic Xexclude from comparison | Faircom DB formerly c-treeACE Xexclude from comparison | Redis Xexclude from comparison | RocksDB Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble. | Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability | Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs. | Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies. | Embeddable persistent key-value store optimized for fast storage (flash and RAM) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Relational DBMS | Relational DBMS | Key-value store Relational DBMS | Key-value store Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence | Key-value store | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store with RedisJSON Graph DBMS with RedisGraph Spatial DBMS Search engine with RediSearch Time Series DBMS with RedisTimeSeries Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.cockroachlabs.com | www.datomic.com | www.faircom.com/products/faircom-db | redis.com redis.io | rocksdb.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.cockroachlabs.com/docs | docs.datomic.com | docs.faircom.com/docs/en/UUID-7446ae34-a1a7-c843-c894-d5322e395184.html | docs.redis.com/latest/index.html redis.io/docs | github.com/facebook/rocksdb/wiki | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Cockroach Labs | Cognitect | FairCom Corporation | Redis project core team, inspired by Salvatore Sanfilippo Development sponsored by Redis Inc. | Facebook, Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2015 | 2012 | 1979 | 2009 | 2013 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 23.1.1, May 2023 | 1.0.6735, June 2023 | V12, November 2020 | 7.2.4, January 2024 | 8.11.4, April 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Apache 2.0, commercial license available | commercial limited edition free | commercial Restricted, free version available | Open Source source-available extensions (modules), commercial licenses for Redis Enterprise | Open Source BSD | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Implementation language | Go | Java, Clojure | ANSI C, C++ | C | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux macOS Windows | All OS with a Java VM | AIX FreeBSD HP-UX Linux NetBSD OS X QNX SCO Solaris VxWorks Windows easily portable to other OSs | BSD Linux OS X Windows ported and maintained by Microsoft Open Technologies, Inc. | Linux | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | dynamic schema | yes | schema free, schema optional, schema required, partial schema, | schema-free | schema-free | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | yes, ANSI SQL Types, JSON, typed binary structures | partial Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes | yes with RediSearch module | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | yes, wire compatible with PostgreSQL | no | yes, ANSI SQL with proprietary extensions | with RediSQL module | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | JDBC | RESTful HTTP API | ADO.NET Direct SQL JDBC JPA ODBC RESTful HTTP/JSON API RESTful MQTT/JSON API RPC | proprietary protocol RESP - REdis Serialization Protocol | C++ API Java API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | C# C++ Clojure Go Java JavaScript (Node.js) PHP Python Ruby Rust | Clojure Java | .Net C C# C++ Java JavaScript (Node.js and browser) PHP Python Visual Basic | C C# C++ Clojure Crystal D Dart Elixir Erlang Fancy Go Haskell Haxe Java JavaScript (Node.js) Lisp Lua MatLab Objective-C OCaml Pascal Perl PHP Prolog Pure Data Python R Rebol Ruby Rust Scala Scheme Smalltalk Swift Tcl Visual Basic | C C++ Go Java Perl Python Ruby | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | no | yes Transaction Functions | yes .Net, JavaScript, C/C++ | Lua; Redis Functions coming in Redis 7 (slides and Github) | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | no | By using transaction functions | yes | publish/subscribe channels provide some trigger functionality; RedisGears | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | horizontal partitioning (by key range) all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT | none But extensive use of caching in the application peers | File partitioning, horizontal partitioning, sharding Customizable business rules for table partitioning | Sharding Automatic hash-based sharding with support for hash-tags for manual sharding | horizontal partitioning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication using RAFT | none But extensive use of caching in the application peers | yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution). | Multi-source replication with Redis Enterprise Pack Source-replica replication Chained replication is supported | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | no | no | no | through RedisGears | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency | Immediate Consistency | Eventual Consistency Immediate Consistency Tunable consistency per server, database, table, and transaction | Eventual Consistency Causal consistency can be enabled in Active-Active databases Strong consistency with Redis Raft Strong eventual consistency with Active-Active | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | yes | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | ACID | ACID | tunable from ACID to Eventually Consistent | Atomic execution of command blocks and scripts and optimistic locking | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes Data access is serialized by the server | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others) | Yes, tunable from durable to delayed durability to in-memory | yes Configurable mechanisms for persistency via snapshots and/or operations logs | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | no | yes recommended only for testing and development | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Role-based access control | no | Fine grained access rights according to SQL-standard with additional protections for files | Access Control Lists (ACLs): redis.io/docs/management/security/acl LDAP and Role-Based Access Control (RBAC) for Redis Enterprise Mutual TLS authentication: redis.io/docs/management/security/encryption Password-based authentication | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3rd parties | Redisson PRO: The ultra-fast Redis Java Client. » more Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more Navicat for Redis: the award-winning Redis management tool with an intuitive and powerful graphical interface. » more | Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads. » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CockroachDB | Datomic | Faircom DB formerly c-treeACE | Redis | RocksDB | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2018 MySQL, PostgreSQL and Redis are the winners of the March ranking MongoDB is the DBMS of the year, defending the title from last year | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Recent citations in the news | CockroachDB 23.2 Enhances Enterprise Architectures with Improved Postgres Compatibility and Built-in Resilience CockroachDB tempts legacy databases to crawl into the cloud age How DoorDash Migrated from Aurora Postgres to CockroachDB How to Unlock Real-Time Data Streams with CockroachDB and Amazon MSK | Amazon Web Services Cockroach Labs Deepens Partnership with Google Cloud, CockroachDB Selected to Join Google Distributed Cloud provided by Google News | Stanchion Turns SQLite Into A Column Store Nubank buys firm behind Clojure programming language Zoona Case Study Architecting Software for Leverage TerminusDB Takes on Data Collaboration with a git-Like Approach provided by Google News | FairCom kicks off new era of database technology USA - English provided by Google News | Switching from Monolithic to Event-Driven Architecture with Celery & Redis Linux Foundation marshals support for open source alternative to Redis Redis switches licenses, acquires Speedb to go beyond its core in-memory database Redis acquires storage engine startup Speedb to enhance its open-source database Redis moves to source-available licenses provided by Google News | Did Rockset Just Solve Real-Time Analytics? Pliops Unveils Accelerated Key-Value Store That Boosts RocksDB Performance by 20x at OCP Global Summit Meta’s Velox Means Database Performance Is Not Subject To Interpretation Intel Linux Optimizations Help AMD EPYC "Genoa" Improve Scaling To 384 Threads AMD EPYC vs. Intel Xeon Cascadelake With Facebook's RocksDB Database provided by Google News |
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