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DBMS > PostGIS vs. Solr vs. Teradata vs. TimesTen vs. Warp 10

System Properties Comparison PostGIS vs. Solr vs. Teradata vs. TimesTen vs. Warp 10

Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonSolr  Xexclude from comparisonTeradata  Xexclude from comparisonTimesTen  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLA widely used distributed, scalable search engine based on Apache LuceneA hybrid cloud data analytics software platform (Teradata Vantage)In-Memory RDBMS compatible to OracleTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSSearch engineRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMSSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitepostgis.netsolr.apache.orgwww.teradata.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.warp10.io
Technical documentationpostgis.net/­documentationsolr.apache.org/­resources.htmldocs.teradata.comdocs.oracle.com/­database/­timesten-18.1www.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationTeradataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005SenX
Initial release20052006198419982015
Current release3.4.2, February 20249.6.1, May 2024Teradata Vantage 1.0 MU2, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPL v2.0Open Source infoApache Version 2commercialcommercialOpen Source infoApache License 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 languageCJavaJava
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Linux
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyesyes
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.yesyesyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesno
SQL infoSupport of SQLyesSolr Parallel SQL Interfaceyes infoSQL 2016 + extensionsyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsJava pluginsyes infoUDFs, stored procedures, table functions in parallelPL/SQLyes infoWarpScript
Triggersyesyes infoUser configurable commands triggered on index changesyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLShardingSharding infoHashingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlyes infobased on PostgreSQLyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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PostGISSolrTeradataTimesTenWarp 10
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