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DBMS > GreptimeDB vs. GridDB vs. Microsoft Access vs. Realm

System Properties Comparison GreptimeDB vs. GridDB vs. Microsoft Access vs. Realm

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonGridDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyScalable in-memory time series database optimized for IoT and Big DataMicrosoft 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 DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitegreptime.comgriddb.netwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.io
Technical documentationdocs.greptime.comdocs.griddb.netdeveloper.microsoft.com/­en-us/­accessrealm.io/­docs
DeveloperGreptime Inc.Toshiba CorporationMicrosoftRealm, acquired by MongoDB in May 2019
Initial release2022201319922014
Current release5.1, August 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++C++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxWindows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)yes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresPythonnoyes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessary
Triggersyesyes infosince Access 2010 using the ACE-engineyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 infoIn-Memory realm
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003yes
More information provided by the system vendor
GreptimeDBGridDBMicrosoft AccessRealm
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
GitHub trending repository
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
GreptimeDBGridDBMicrosoft AccessRealm
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