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DBMS > AgensGraph vs. AnzoGraph DB vs. Faircom EDGE vs. mSQL vs. SpatiaLite

System Properties Comparison AgensGraph vs. AnzoGraph DB vs. Faircom EDGE vs. mSQL vs. SpatiaLite

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsmSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of SQLite
Primary database modelGraph DBMS
Relational DBMS
Graph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitebitnine.net/­agensgraphcambridgesemantics.com/­anzographwww.faircom.com/­products/­faircom-edgehughestech.com.au/­products/­msqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationbitnine.net/­documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperBitnine Global Inc.Cambridge SemanticsFairCom CorporationHughes TechnologiesAlessandro Furieri
Initial release20162018197919942008
Current release2.1, December 20182.3, January 2021V3, October 20204.4, October 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree trial version availablecommercial infoRestricted, free version availablecommercial infofree licenses can be providedOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCANSI C, C++CC++
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less
Data schemedepending on used data modelSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.nonoyesnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yes infoANSI SQL queriesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsCypher Query Language
JDBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C++
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes info.Net, JavaScript, C/C++nono
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceAutomatic shardingFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-Clusteryes infoSynchronous and asynchronous realtime replication based on transaction logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency
none
Foreign keys infoReferential integrityyesno infonot needed in graphsyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nono

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More resources
AgensGraphAnzoGraph DBFaircom EDGE infoformerly c-treeEDGEmSQL infoMini SQLSpatiaLite
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