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DBMS > HBase vs. Quasardb vs. TimesTen vs. VoltDB

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

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to OracleDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelWide column storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.60
Rank#26  Overall
#2  Wide column stores
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score1.59
Rank#157  Overall
#72  Relational DBMS
Score1.51
Rank#165  Overall
#75  Relational DBMS
Websitehbase.apache.orgquasar.aiwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.voltdb.com
Technical documentationhbase.apache.org/­book.htmldoc.quasar.ai/­masterdocs.oracle.com/­database/­timesten-18.1docs.voltdb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetquasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005VoltDB Inc.
Initial release2008200919982010
Current release2.3.4, January 20213.14.1, January 202411 Release 2 (11.2.2.8.0)11.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
BSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X infofor development
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.nonono
Secondary indexesnoyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infoonly a subset of SQL 99
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoPL/SQLJava
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Multi-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 integritynonoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoby means of logfiles and checkpointsyes infoSnapshots and command logging
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 trailfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
HBaseQuasardbTimesTenVoltDB
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