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DBMS > H2 vs. HBase vs. LevelDB vs. PouchDB vs. Sequoiadb

System Properties Comparison H2 vs. HBase vs. LevelDB vs. PouchDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDBNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSWide column storeKey-value storeDocument storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.h2database.comhbase.apache.orggithub.com/­google/­leveldbpouchdb.comwww.sequoiadb.com
Technical documentationwww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guideswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperThomas MuellerApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleApache Software FoundationSequoiadb Ltd.
Initial release20052008201120122013
Current release2.2.220, July 20232.3.4, January 20211.23, February 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2Open Source infoBSDOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaScriptC++
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesschema-free, schema definition possibleschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnonoyes infooid, date, timestamp, binary, regex
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.nonononono
Secondary indexesyesnonoyes infovia viewsyes
SQL infoSupport of SQLyesnononoSQL-like query language
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol using JSON
Supported programming languagesJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in JavanoView functions in JavaScriptJavaScript
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nonoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonosimple password-based access control

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