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DBMS > Infobright vs. Quasardb vs. Spark SQL vs. Titan vs. Transbase

System Properties Comparison Infobright vs. Quasardb vs. Spark SQL vs. Titan vs. Transbase

Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTitan  Xexclude from comparisonTransbase  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.
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processingTitan is a Graph DBMS optimized for distributed clusters.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbquasar.aispark.apache.org/­sqlgithub.com/­thinkaurelius/­titanwww.transaction.de/­en/­products/­transbase.html
Technical documentationdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wikiwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.quasardbApache Software FoundationAurelius, owned by DataStaxTransaction Software GmbH
Initial release20052009201420121987
Current release3.14.1, January 20243.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache license, version 2.0commercial infofree development license
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 languageCC++ScalaJavaC and C++
Server operating systemsLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyesyes
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 indexesno infoKnowledge Grid Technology used insteadyes infowith tagsnoyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Clojure
Java
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingyes, utilizing Spark Coreyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factornoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modenono
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesCryptographically strong user authentication and audit trailnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
InfobrightQuasardbSpark SQLTitanTransbase
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