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DBMS > Dgraph vs. EsgynDB vs. Faircom EDGE vs. Quasardb vs. Tkrzw

System Properties Comparison Dgraph vs. EsgynDB vs. Faircom EDGE vs. Quasardb vs. Tkrzw

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonQuasardb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
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 environmentsDistributed, high-performance timeseries databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitedgraph.iowww.esgyn.cnwww.faircom.com/­products/­faircom-edgequasar.aidbmx.net/­tkrzw
Technical documentationdgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldoc.quasar.ai/­master
DeveloperDgraph Labs, Inc.EsgynFairCom CorporationquasardbMikio Hirabayashi
Initial release20162015197920092020
Current releaseV3, October 20203.14.1, January 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoRestricted, free version availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, JavaANSI C, C++C++C++
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes infointeger and binaryno
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 indexesyesyesyesyes infowith tags
SQL infoSupport of SQLnoyesyes infoANSI SQL queriesSQL-like query languageno
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
HTTP API
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
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes info.Net, JavaScript, C/C++nono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingFile partitioning infoCustomizable business rules for partitioningSharding infoconsistent hashingnone
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 replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes infousing specific database classes
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.Cryptographically strong user authentication and audit trailno

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More resources
DgraphEsgynDBFaircom EDGE infoformerly c-treeEDGEQuasardbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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