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DBMS > Dgraph vs. FeatureBase vs. Ingres vs. Kinetica vs. MySQL

System Properties Comparison Dgraph vs. FeatureBase vs. Ingres vs. Kinetica vs. MySQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFeatureBase  Xexclude from comparisonIngres  Xexclude from comparisonKinetica  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Well established RDBMSFully vectorized database across both GPUs and CPUsWidely used open source RDBMS
Primary database modelGraph DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websitedgraph.iowww.featurebase.comwww.actian.com/­databases/­ingreswww.kinetica.comwww.mysql.com
Technical documentationdgraph.io/­docsdocs.featurebase.comdocs.actian.com/­ingresdocs.kinetica.comdev.mysql.com/­doc
DeveloperDgraph Labs, Inc.Molecula and Pilosa Open Source ContributorsActian CorporationKineticaOracle infosince 2010, originally MySQL AB, then Sun
Initial release201620171974 infooriginally developed at University Berkely in early 1970s20121995
Current release2022, May 202211.2, May 20227.1, August 20218.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
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.
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Implementation languageGoGoCC, C++C and C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnoSQL queriesyesSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC
JDBC
Kafka Connector
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functionsyes infoproprietary syntax
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesIngres ReplicatorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or roles

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More resources
DgraphFeatureBaseIngresKineticaMySQL
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