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

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

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonSolr  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWell established RDBMSA widely used distributed, scalable search engine based on Apache LuceneA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to OracleTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSearch engineGraph DBMSRelational DBMSTime Series 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
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitewww.actian.com/­databases/­ingressolr.apache.orgwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlyanza.com
Technical documentationdocs.actian.com/­ingressolr.apache.org/­resources.htmldocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperActian CorporationApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yanza
Initial release1974 infooriginally developed at University Berkely in early 1970s2006201719982015
Current release11.2, May 20229.5.0, February 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
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
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 typingyesyesno
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 indexedyesno
SQL infoSupport of SQLyesSolr Parallel SQL InterfaceSQL-like query language (GSQL)yesno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
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
C++
Java
PL/SQL
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesJava pluginsyesPL/SQLno
Triggersyesyes infoUser configurable commands triggered on index changesnonoyes infoTimer and event based
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 ReplicatoryesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesRole-based access controlfine grained access rights according to SQL-standardno

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More resources
IngresSolrTigerGraphTimesTenYanza
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