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DBMS > Ingres vs. Solr vs. TerarkDB vs. TigerGraph vs. TimesTen

System Properties Comparison Ingres vs. Solr vs. TerarkDB vs. TigerGraph vs. TimesTen

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonSolr  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionWell established RDBMSA widely used distributed, scalable search engine based on Apache LuceneA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSSearch engineKey-value storeGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score0.04
Rank#377  Overall
#58  Key-value stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitewww.actian.com/­databases/­ingressolr.apache.orggithub.com/­bytedance/­terarkdbwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.actian.com/­ingressolr.apache.org/­resources.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperActian CorporationApache Software FoundationByteDance, originally TerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release1974 infooriginally developed at University Berkely in early 1970s2006201620171998
Current release11.2, May 20229.5.0, February 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial inforestricted open source version availablecommercialcommercial
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 languageCJavaC++C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingnoyesyes
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.no infobut tools for importing/exporting data from/to XML-files availableyesnonono
Secondary indexesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLyesSolr Parallel SQL InterfacenoSQL-like query language (GSQL)yes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RESTful HTTP/JSON API
C++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesJava pluginsnoyesPL/SQL
Triggersyesyes infoUser configurable commands triggered on index changesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatoryesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
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.noyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
IngresSolrTerarkDBTigerGraphTimesTen
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