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DBMS > HBase vs. Quasardb vs. TerminusDB vs. TimesTen

System Properties Comparison HBase vs. Quasardb vs. TerminusDB vs. TimesTen

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonQuasardb  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, high-performance timeseries databaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitehbase.apache.orgquasar.aiterminusdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationhbase.apache.org/­book.htmldoc.quasar.ai/­masterterminusdb.github.io/­terminusdb/­#docs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetquasardbDataChemist Ltd.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2008200920181998
Current release2.3.4, January 20213.14.1, January 202411.0.0, January 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Prolog, Rust
Server operating systemsLinux
Unix
Windows infousing Cygwin
BSD
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-free, schema definition possibleschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infointeger and binaryyesyes
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.nononono
Secondary indexesnoyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (WOQL)yes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoyesPL/SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingGraph Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factorJournaling StreamsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoin-memory journalingyes 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.yesyes infoTransient modeyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACCryptographically strong user authentication and audit trailRole-based access controlfine grained access rights according to SQL-standard

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More resources
HBaseQuasardbTerminusDB infoformer name was DataChemistTimesTen
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