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DBMS > CockroachDB vs. Riak KV vs. Splice Machine vs. Yaacomo

System Properties Comparison CockroachDB vs. Riak KV vs. Splice Machine vs. Yaacomo

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSplice Machine  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.Distributed, fault tolerant key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.cockroachlabs.comsplicemachine.comyaacomo.com
Technical documentationwww.cockroachlabs.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestsplicemachine.com/­how-it-works
DeveloperCockroach LabsOpenSource, formerly Basho TechnologiesSplice MachineQ2WEB GmbH
Initial release2015200920142009
Current release23.1.1, May 20233.2.0, December 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangJava
Server operating systemsLinux
macOS
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemedynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesyes
APIs and other access methodsJDBCHTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoErlangyes infoJava
Triggersnoyes infopre-commit hooks and post-commit hooksyesyes
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 RAFTSharding infono "single point of failure"Shared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole-based access controlyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CockroachDBRiak KVSplice MachineYaacomo
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