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DBMS > Datomic vs. FileMaker vs. Microsoft Access vs. ReductStore vs. Sadas Engine

System Properties Comparison Datomic vs. FileMaker vs. Microsoft Access vs. ReductStore vs. Sadas Engine

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonReductStore  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft 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.)Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.datomic.comwww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­reductstore
www.reduct.store
www.sadasengine.com
Technical documentationdocs.datomic.comwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accesswww.reduct.store/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCognitectClaris infoa subsidiary of AppleMicrosoftReductStore LLCSADAS s.r.l.
Initial release20121983199220232006
Current release1.0.7075, December 202319.4.1, November 20211902 (16.0.11328.20222), March 20191.9, March 20248.0
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoBusiness Source License 1.1commercial infofree trial version available
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 languageJava, ClojureC++C++, RustC++
Server operating systemsAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
Windows
AIX
Linux
Windows
Data schemeyesyesyesyes
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 infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infovia pluginsyes infobut not compliant to any SQL standardyes
APIs and other access methodsRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
Java
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes infosince Access 2010 using the ACE-engineno
TriggersBy using transaction functionsyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication, warm standby infosince Version 14nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes 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.yes inforecommended only for testing and developmentyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standard

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More resources
DatomicFileMakerMicrosoft AccessReductStoreSadas Engine
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