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DBMS > Percona Server for MySQL vs. Prometheus vs. Riak KV vs. Splice Machine

System Properties Comparison Percona Server for MySQL vs. Prometheus vs. Riak KV vs. Splice Machine

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Editorial information provided by DB-Engines
NamePercona Server for MySQL  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.percona.com/­software/­mysql-database/­percona-serverprometheus.iosplicemachine.com
Technical documentationwww.percona.com/­downloads/­Percona-Server-LATESTprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestsplicemachine.com/­how-it-works
DeveloperPerconaOpenSource, formerly Basho TechnologiesSplice Machine
Initial release2008201520092014
Current release8.0.36-28, 20243.2.0, December 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++GoErlangJava
Server operating systemsLinuxLinux
Windows
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes
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.yesno infoImport of XML data possibleno
Secondary indexesyesnorestrictedyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languagesAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
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 proceduresyesnoErlangyes infoJava
Triggersyesnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
XtraDB Cluster
yes infoby Federationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesnoyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standard

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More resources
Percona Server for MySQLPrometheusRiak KVSplice Machine
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