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DBMS > Citus vs. Microsoft Access vs. Trino vs. VictoriaMetrics

System Properties Comparison Citus vs. Microsoft Access vs. Trino vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrino  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLMicrosoft 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.)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitewww.citusdata.comwww.microsoft.com/­en-us/­microsoft-365/­accesstrino.iovictoriametrics.com
Technical documentationdocs.citusdata.comdeveloper.microsoft.com/­en-us/­accesstrino.io/­broadcast
trino.io/­docs/­current
docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMicrosoftTrino Software FoundationVictoriaMetrics
Initial release201019922012 info2020 rebranded from PrestoSQL2018
Current release8.1, December 20181902 (16.0.11328.20222), March 2019v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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 languageCC++JavaGo
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS infofor devlopment
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesdepending on connected data-source
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes infobut not compliant to any SQL standardyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
DAO
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infosince Access 2010 using the ACE-engineyes, depending on connected data-sourceno
Triggersyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnonedepending on connected data-sourceSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-sourceEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingdepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003SQL standard access control
More information provided by the system vendor
CitusMicrosoft AccessTrinoVictoriaMetrics
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More resources
CitusMicrosoft AccessTrinoVictoriaMetrics
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Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
24 January 2019, Microsoft

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