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DBMS > GreptimeDB vs. Microsoft Access vs. Postgres-XL vs. Trafodion

System Properties Comparison GreptimeDB vs. Microsoft Access vs. Postgres-XL vs. Trafodion

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMicrosoft 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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegreptime.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgtrafodion.apache.org
Technical documentationdocs.greptime.comdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationtrafodion.apache.org/­documentation.html
DeveloperGreptime Inc.MicrosoftApache Software Foundation, originally developed by HP
Initial release202219922014 infosince 2012, originally named StormDB2014
Current release1902 (16.0.11328.20222), March 201910 R1, October 20182.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++CC++, Java
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
Data schemeschema-free, schema definition possibleyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionyes
APIs and other access methodsgRPC
HTTP API
JDBC
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresPythonyes infosince Access 2010 using the ACE-engineuser defined functionsJava Stored Procedures
Triggersyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlSimple rights management via user accountsno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
GreptimeDBMicrosoft AccessPostgres-XLTrafodion
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBMicrosoft AccessPostgres-XLTrafodion
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