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DBMS > Citus vs. CockroachDB vs. FileMaker vs. Heroic vs. Microsoft Access

System Properties Comparison Citus vs. CockroachDB vs. FileMaker vs. Heroic vs. Microsoft Access

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonCockroachDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMicrosoft 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.)
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitewww.citusdata.comwww.cockroachlabs.comwww.claris.com/­filemakergithub.com/­spotify/­heroicwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.citusdata.comwww.cockroachlabs.com/­docswww.claris.com/­resources/­documentationspotify.github.io/­heroicdeveloper.microsoft.com/­en-us/­access
DeveloperCockroach LabsClaris infoa subsidiary of AppleSpotifyMicrosoft
Initial release20102015198320141992
Current release8.1, December 201824.1.0, May 202419.4.1, November 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
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 languageCGoJavaC++
Server operating systemsLinuxLinux
macOS
Windows
iOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesdynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 functionalitynoyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes, wire compatible with PostgreSQLyes infovia pluginsnoyes infobut not compliant to any SQL standard
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCFilemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesnoyes infosince Access 2010 using the ACE-engine
Triggersyesnoyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using RAFTSource-replica replication, warm standby infosince Version 14yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003

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More resources
CitusCockroachDBFileMakerHeroicMicrosoft Access
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24 January 2019, Microsoft

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9 April 2024, PR Newswire

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