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DBMS > Drizzle vs. HBase vs. Percona Server for MySQL vs. Splice Machine vs. TerarkDB

System Properties Comparison Drizzle vs. HBase vs. Percona Server for MySQL vs. Splice Machine vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTableEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehbase.apache.orgwww.percona.com/­software/­mysql-database/­percona-serversplicemachine.comgithub.com/­bytedance/­terarkdb
Technical documentationhbase.apache.org/­book.htmlwww.percona.com/­downloads/­Percona-Server-LATESTsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetPerconaSplice MachineByteDance, originally Terark
Initial release20082008200820142016
Current release7.2.4, September 20122.3.4, January 20218.0.36-28, 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache version 2Open Source infoGPL version 2Open Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and C++JavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyesno
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.noyesno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesyesno
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesyes infoJavano
Triggersno infohooks for callbacks inside the server can be used.yesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
DrizzleHBasePercona Server for MySQLSplice MachineTerarkDB
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