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DBMS > GridGain vs. HugeGraph vs. Kyligence Enterprise vs. Microsoft Access vs. RethinkDB

System Properties Comparison GridGain vs. HugeGraph vs. Kyligence Enterprise vs. Microsoft Access vs. RethinkDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA distributed analytics engine for big data, built on top of Apache KylinMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
kyligence.io/­kyligence-enterprisewww.microsoft.com/­en-us/­microsoft-365/­accessrethinkdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdeveloper.microsoft.com/­en-us/­accessrethinkdb.com/­docs
DeveloperGridGain Systems, Inc.BaiduKyligence, Inc.MicrosoftThe Linux Foundation infosince July 2017
Initial release20072018201619922009
Current releaseGridGain 8.5.10.91902 (16.0.11328.20222), March 20192.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2
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 languageJava, C++, .NetJavaJavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Unix
LinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, binary, float, bool, date, geometry
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.yesnonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoANSI SQL for queries (using Apache Calcite)yes infobut not compliant to any SQL standardno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsyes infosince Access 2010 using the ACE-engine
Triggersyes (cache interceptors and events)noyes infosince Access 2010 using the ACE-engineClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBasenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)via hugegraph-sparkyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissionsno infoa simple user-level security was built in till version Access 2003yes infousers and table-level permissions

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More resources
GridGainHugeGraphKyligence EnterpriseMicrosoft AccessRethinkDB
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