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DBMS > CockroachDB vs. Datomic vs. Quasardb vs. Realm vs. Riak KV

System Properties Comparison CockroachDB vs. Datomic vs. Quasardb vs. Realm vs. Riak KV

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionCockroachDB 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 durabilityDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.cockroachlabs.comwww.datomic.comquasar.airealm.io
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comdoc.quasar.ai/­masterrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCockroach LabsCognitectquasardbRealm, acquired by MongoDB in May 2019OpenSource, formerly Basho Technologies
Initial release20152012200920142009
Current release24.1.0, May 20241.0.7075, December 20233.14.1, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureC++Erlang
Server operating systemsLinux
macOS
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Data schemedynamic schemayesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesyesyesyes infowith tagsyesrestricted
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoSQL-like query languagenono
APIs and other access methodsJDBCRESTful HTTP APIHTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono inforuns within the applications so server-side scripts are unnecessaryErlang
TriggersnoBy using transaction functionsnoyes infoChange Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone infoBut extensive use of caching in the application peersSharding infoconsistent hashingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersSource-replica replication with selectable replication factornoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infoTransient modeyes infoIn-Memory realm
User concepts infoAccess controlRole-based access controlnoCryptographically strong user authentication and audit trailyesyes, using Riak Security

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CockroachDBDatomicQuasardbRealmRiak KV
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