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DBMS > Ehcache vs. HBase vs. Infobright vs. PlanetScale

System Properties Comparison Ehcache vs. HBase vs. Infobright vs. PlanetScale

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHBase  Xexclude from comparisonInfobright  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsWide-column store based on Apache Hadoop and on concepts of BigTableHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelKey-value storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitewww.ehcache.orghbase.apache.orgignitetech.com/­softwarelibrary/­infobrightdbplanetscale.com
Technical documentationwww.ehcache.org/­documentationhbase.apache.org/­book.htmlplanetscale.com/­docs
DeveloperTerracotta Inc, owned by Software AGApache Software Foundation infoApache top-level project, originally developed by PowersetIgnite Technologies Inc.; formerly InfoBright Inc.PlanetScale
Initial release2009200820052020
Current release3.10.0, March 20222.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCGo
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 indexesnonono infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLnonoyesyes infowith proprietary extensions
APIs and other access methodsJCacheJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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 proceduresnoyes infoCoprocessors in Javanoyes infoproprietary syntax
Triggersyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceSingle row ACID (across millions of columns)ACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUsers with fine-grained authorization concept infono user groups or roles

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More resources
EhcacheHBaseInfobrightPlanetScale
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