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DBMS > GridGain vs. Microsoft Access vs. RavenDB vs. StarRocks vs. SWC-DB

System Properties Comparison GridGain vs. Microsoft Access vs. RavenDB vs. StarRocks vs. SWC-DB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonStarRocks  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMicrosoft 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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA high performance, scalable Wide Column DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument storeRelational DBMSWide column store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netwww.starrocks.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessravendb.net/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGridGain Systems, Inc.MicrosoftHibernating RhinosThe Linux Foundation infosince Feb 2023Alex Kashirin
Initial release20071992201020202020
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 20195.4, July 20222.5.3, March 20230.5, April 2021
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0Open Source infoGPL V3
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++, .NetC++C#C++, JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
LinuxLinux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardSQL-like query language (RQL)yesSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
MySQL protocol
Proprietary protocol
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC++
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineyesuser defined functionsno
Triggersyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per databaseRole based access control and fine grained access rights

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More resources
GridGainMicrosoft AccessRavenDBStarRocksSWC-DB infoSuper Wide Column Database
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