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DBMS > Dgraph vs. EsgynDB vs. Faircom EDGE vs. InterSystems IRIS vs. Titan

System Properties Comparison Dgraph vs. EsgynDB vs. Faircom EDGE vs. InterSystems IRIS vs. Titan

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Websitedgraph.iowww.esgyn.cnwww.faircom.com/­products/­faircom-edgewww.intersystems.com/­products/­intersystems-irisgithub.com/­thinkaurelius/­titan
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperDgraph Labs, Inc.EsgynFairCom CorporationInterSystemsAurelius, owned by DataStax
Initial release20162015197920182012
Current releaseV3, October 20202023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoRestricted, free version availablecommercialOpen Source infoApache license, version 2.0
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 languageGoC++, JavaANSI C, C++Java
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)depending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes, 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.nonoyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyes infoANSI SQL queriesyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes info.Net, JavaScript, C/C++yesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingFile partitioning infoCustomizable business rules for partitioningShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
DgraphEsgynDBFaircom EDGE infoformerly c-treeEDGEInterSystems IRISTitan
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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DgraphEsgynDBFaircom EDGE infoformerly c-treeEDGEInterSystems IRISTitan
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