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DBMS > EXASOL vs. JaguarDB vs. Netezza vs. Postgres-XL vs. Titan

System Properties Comparison EXASOL vs. JaguarDB vs. Netezza vs. Postgres-XL vs. Titan

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  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.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.exasol.comwww.jaguardb.comwww.ibm.com/­products/­netezzawww.postgres-xl.orggithub.com/­thinkaurelius/­titan
Technical documentationwww.exasol.com/­resourceswww.jaguardb.com/­support.htmlwww.postgres-xl.org/­documentationgithub.com/­thinkaurelius/­titan/­wiki
DeveloperExasolDataJaguar, Inc.IBMAurelius, owned by DataStax
Initial release2000201520002014 infosince 2012, originally named StormDB2012
Current release3.3 July 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialOpen Source infoMozilla public licenseOpen Source infoApache license, version 2.0
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++ infothe server part. Clients available in other languagesCJava
Server operating systemsLinuxLinux infoincluded in applianceLinux
macOS
Linux
OS X
Unix
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes infodistributed, parallel query executionno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsnoyesuser defined functionsyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardrights management via user accountsUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server

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More resources
EXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLTitan
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