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DBMS > Datomic vs. Microsoft Access vs. Sphinx vs. STSdb vs. Tigris

System Properties Comparison Datomic vs. Microsoft Access vs. Sphinx vs. STSdb vs. Tigris

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMicrosoft 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.)Open source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSRelational DBMSSearch engineKey-value storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comgithub.com/­STSSoft/­STSdb4www.tigrisdata.com
Technical documentationdocs.datomic.comdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docswww.tigrisdata.com/­docs
DeveloperCognitectMicrosoftSphinx Technologies Inc.STS Soft SCTigris Data, Inc.
Initial release20121992200120112022
Current release1.0.6735, June 20231902 (16.0.11328.20222), March 20193.5.1, February 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
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++C#
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
WindowsLinux
macOS
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes infoprimitive types and user defined types (classes)yes
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.nono
Secondary indexesyesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)nono
APIs and other access methodsRESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
Proprietary protocol.NET Client APICLI Client
gRPC
RESTful HTTP API
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infosince Access 2010 using the ACE-enginenonono
TriggersBy using transaction functionsyes infosince Access 2010 using the ACE-enginenonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnonenonenoneyes
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yesyes, using FoundationDB
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 development
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003nonoAccess rights for users and roles

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More resources
DatomicMicrosoft AccessSphinxSTSdbTigris
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