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DBMS > Apache Pinot vs. JanusGraph vs. Solr vs. TimesTen

System Properties Comparison Apache Pinot vs. JanusGraph vs. Solr vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSolr  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A widely used distributed, scalable search engine based on Apache LuceneIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSGraph DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitepinot.apache.orgjanusgraph.orgsolr.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.pinot.apache.orgdocs.janusgraph.orgsolr.apache.org/­resources.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation and contributorsLinux Foundation; originally developed as Titan by AureliusApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2015201720061998
Current release1.0.0, September 20230.6.3, February 20239.6.1, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.noyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
Python
Clojure
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesJava pluginsPL/SQL
Triggersyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginespark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes 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.yesyes
User concepts infoAccess controlUser authentification and security via Rexster Graph Serveryesfine grained access rights according to SQL-standard

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More resources
Apache PinotJanusGraph infosuccessor of TitanSolrTimesTen
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