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DBMS > Altibase vs. HugeGraph vs. Oracle Berkeley DB vs. TerarkDB vs. TimesTen

System Properties Comparison Altibase vs. HugeGraph vs. Oracle Berkeley DB vs. TerarkDB vs. TimesTen

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitealtibase.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­bytedance/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualshugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.oracle.com/­database/­timesten-18.1
DeveloperAltibaseBaiduOracle infooriginally developed by Sleepycat, which was acquired by OracleByteDance, originally TerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19992018199420161998
Current releasev7.3, 2023, August 20230.918.1.40, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infocommercial license availablecommercial inforestricted open source version availablecommercial
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, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAIX
HP-UX
Linux
Linux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nonoyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesyes infoalso supports composite index and range indexyesnoyes
SQL infoSupport of SQLANSI SQL-92noyes infoSQL interfaced based on SQLite is availablenoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Java
Groovy
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresstored procedures and stored functionsasynchronous Gremlin script jobsnonoPL/SQL
Triggersyesnoyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsnonofine grained access rights according to SQL-standard

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More resources
AltibaseHugeGraphOracle Berkeley DBTerarkDBTimesTen
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