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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPlanetScale  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  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.)Scalable, distributed, serverless MySQL database platform built on top of VitessOpen 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 method
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsDocument store
Spatial 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
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accessplanetscale.comsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comdeveloper.microsoft.com/­en-us/­accessplanetscale.com/­docssphinxsearch.com/­docs
DeveloperCognitectMicrosoftPlanetScaleSphinx Technologies Inc.STS Soft SC
Initial release20121992202020012011
Current release1.0.7075, December 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 OfficecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++GoC++C#
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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.no
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyes infowith proprietary extensionsSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
Proprietary protocol.NET Client API
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infosince Access 2010 using the ACE-engineyes infoproprietary syntaxnono
TriggersBy using transaction functionsyes infosince Access 2010 using the ACE-engineyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACID at shard levelnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infobut no files for transaction loggingyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept infono user groups or rolesnono

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More resources
DatomicMicrosoft AccessPlanetScaleSphinxSTSdb
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