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DBMS > HBase vs. Kinetica vs. Realm vs. Vitess

System Properties Comparison HBase vs. Kinetica vs. Realm vs. Vitess

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKinetica  Xexclude from comparisonRealm  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehbase.apache.orgwww.kinetica.comrealm.iovitess.io
Technical documentationhbase.apache.org/­book.htmldocs.kinetica.comrealm.io/­docsvitess.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaRealm, acquired by MongoDB in May 2019The Linux Foundation, PlanetScale
Initial release2008201220142013
Current release2.3.4, January 20217.1, August 202115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Go
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxAndroid
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsno inforuns within the applications so server-side scripts are unnecessaryyes infoproprietary syntax
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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.yesyes infoGPU vRAM or System RAMyes infoIn-Memory realmyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
HBaseKineticaRealmVitess
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