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DBMS > GridDB vs. Memgraph vs. Microsoft Access vs. OushuDB

System Properties Comparison GridDB vs. Memgraph vs. Microsoft Access vs. OushuDB

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataAn open source graph database built for real-time streaming and compatible with Neo4jMicrosoft 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.)A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Websitegriddb.netmemgraph.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oushu.com/­product/­oushuDB
Technical documentationdocs.griddb.netmemgraph.com/­docsdeveloper.microsoft.com/­en-us/­accesswww.oushu.com/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperToshiba CorporationMemgraph LtdMicrosoftOushu
Initial release201320171992
Current release5.1, August 20221902 (16.0.11328.20222), March 20194.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemsLinuxLinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesschema-free and schema-optionalyesyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)noyes infobut not compliant to any SQL standardFull-featured ANSI SQL support
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyes
Triggersyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infowith snapshot isolationACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers, roles and permissionsno infoa simple user-level security was built in till version Access 2003Kerberos, SSL and role based access
More information provided by the system vendor
GridDBMemgraphMicrosoft AccessOushuDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
GridDBMemgraphMicrosoft AccessOushuDB
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