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DBMS > EDB Postgres vs. EsgynDB vs. Solr vs. TinkerGraph

System Properties Comparison EDB Postgres vs. EsgynDB vs. Solr vs. TinkerGraph

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonEsgynDB  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Enterprise-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 modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#124  Overall
#60  Relational DBMS
Score0.21
Rank#288  Overall
#134  Relational DBMS
Score57.26
Rank#20  Overall
#3  Search engines
Score0.19
Rank#289  Overall
#23  Graph DBMS
Websitewww.enterprisedb.comwww.esgyn.cnlucene.apache.org/­solrtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.enterprisedb.com/­edb-docslucene.apache.org/­solr/­resources.html
DeveloperEnterpriseDBEsgynApache Software Foundation
Initial release2005201520062009
Current release14, December 20218.11.1, December 2021
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaJavaJava
Server operating systemsLinux
Windows
LinuxAll 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.yes infospecific XML-type available, but no XML query functionality.noyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyes infostandard with numerous extensionsyesSolr Parallel SQL Interfaceno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored ProceduresJava pluginsno
Triggersyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication between multi datacentersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
EDB PostgresEsgynDBSolrTinkerGraph
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more

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EDB PostgresEsgynDBSolrTinkerGraph
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