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DBMS > H2 vs. HBase vs. SQLite vs. Titan

System Properties Comparison H2 vs. HBase vs. SQLite vs. Titan

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHBase  Xexclude from comparisonSQLite  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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 BigTableWidely used embeddable, in-process RDBMSTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSWide column storeRelational DBMSGraph 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
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.h2database.comhbase.apache.orgwww.sqlite.orggithub.com/­thinkaurelius/­titan
Technical documentationwww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmlwww.sqlite.org/­docs.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperThomas MuellerApache Software Foundation infoApache top-level project, originally developed by PowersetDwayne Richard HippAurelius, owned by DataStax
Initial release2005200820002012
Current release2.2.220, July 20232.3.4, January 20213.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2Open Source infoPublic DomainOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJava
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
server-lessLinux
OS X
Unix
Windows
Data schemeyesschema-free, schema definition possibleyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
Thrift
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in Javanoyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes infovia pluggable storage backends
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
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoUser authentification and security via Rexster Graph Server

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