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DBMS > Apache Pinot vs. EsgynDB vs. Solr vs. TinkerGraph

System Properties Comparison Apache Pinot vs. EsgynDB vs. Solr vs. TinkerGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEsgynDB  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitepinot.apache.orgwww.esgyn.cnsolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.pinot.apache.orgsolr.apache.org/­resources.html
DeveloperApache Software Foundation and contributorsEsgynApache Software Foundation
Initial release2015201520062009
Current release1.0.0, September 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
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 indexedno
SQL infoSupport of SQLSQL-like query languageyesSolr Parallel SQL Interfaceno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesGo
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresJava Stored ProceduresJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesno

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More resources
Apache PinotEsgynDBSolrTinkerGraph
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