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DBMS > EXASOL vs. GridDB vs. PostGIS vs. Teradata vs. TimesTen

System Properties Comparison EXASOL vs. GridDB vs. PostGIS vs. Teradata vs. TimesTen

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGridDB  Xexclude from comparisonPostGIS  Xexclude from comparisonTeradata  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable in-memory time series database optimized for IoT and Big DataSpatial extension of PostgreSQLA hybrid cloud data analytics software platform (Teradata Vantage)In-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.exasol.comgriddb.netpostgis.netwww.teradata.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.exasol.com/­resourcesdocs.griddb.netpostgis.net/­documentationdocs.teradata.comdocs.oracle.com/­database/­timesten-18.1
DeveloperExasolToshiba CorporationTeradataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20002013200519841998
Current release5.1, August 20223.4.2, February 2024Teradata Vantage 1.0 MU2, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL v2.0commercialcommercial
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++C
Server operating systemsLinuxhosted
Linux
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nonoyesyesno
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)yesyes infoSQL 2016 + extensionsyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsyes infoUDFs, stored procedures, table functions in parallelPL/SQL
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infobased on PostgreSQLMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per databaseyes infobased on PostgreSQLfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLGridDBPostGISTeradataTimesTen
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EXASOLGridDBPostGISTeradataTimesTen
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