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DBMS > Datomic vs. Fauna vs. mSQL vs. OrigoDB vs. Sadas Engine

System Properties Comparison Datomic vs. Fauna vs. mSQL vs. OrigoDB vs. Sadas Engine

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.mSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.datomic.comfauna.comhughestech.com.au/­products/­msqlorigodb.comwww.sadasengine.com
Technical documentationdocs.datomic.comdocs.fauna.comorigodb.com/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCognitectFauna, Inc.Hughes TechnologiesRobert Friberg et alSADAS s.r.l.
Initial release2012201419942009 infounder the name LiveDB2006
Current release1.0.6735, June 20234.4, October 20218.0
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infofree licenses can be providedOpen Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScalaCC#C++
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
AIX
Linux
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NETno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoyesno
TriggersBy using transaction functionsnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingnonehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoWrite ahead logyes
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 developmentnonoyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoIdentity management, authentication, and access controlnoRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicFauna infopreviously named FaunaDBmSQL infoMini SQLOrigoDBSadas Engine
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