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DBMS > EDB Postgres vs. Faircom EDGE vs. JanusGraph vs. Solr

System Properties Comparison EDB Postgres vs. Faircom EDGE vs. JanusGraph vs. Solr

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSolr  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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA 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 Lucene
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.enterprisedb.comwww.faircom.com/­products/­faircom-edgejanusgraph.orgsolr.apache.org
Technical documentationwww.enterprisedb.com/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.janusgraph.orgsolr.apache.org/­resources.html
DeveloperEnterpriseDBFairCom CorporationLinux Foundation; originally developed as Titan by AureliusApache Software Foundation
Initial release2005197920172006
Current release14, December 2021V3, October 20200.6.3, February 20239.6.1, May 2024
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++JavaJava
Server operating systemsLinux
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes infosupports customizable data types and automatic typing
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.yesnoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infostandard with numerous extensionsyes infoANSI SQL queriesnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Clojure
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes info.Net, JavaScript, C/C++yesJava plugins
Triggersyesyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeFile partitioning infoCustomizable business rules for partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginespark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.User authentification and security via Rexster Graph Serveryes

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More resources
EDB PostgresFaircom EDGE infoformerly c-treeEDGEJanusGraph infosuccessor of TitanSolr
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