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DBMS > Datomic vs. FatDB vs. HyperSQL vs. Sadas Engine

System Properties Comparison Datomic vs. FatDB vs. HyperSQL vs. Sadas Engine

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFatDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSadas Engine  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA .NET NoSQL DBMS that can integrate with and extend SQL Server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.datomic.comhsqldb.orgwww.sadasengine.com
Technical documentationdocs.datomic.comhsqldb.org/­web/­hsqlDocsFrame.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperCognitectFatCloudSADAS s.r.l.
Initial release2012201220012006
Current release1.0.6735, June 20232.7.2, June 20238.0
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infobased on BSD licensecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC#JavaC++
Server operating systemsAll OS with a Java VMWindowsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
Linux
Windows
Data schemeyesschema-freeyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryesyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
Java
C#All languages supporting JDBC/ODBC
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infovia applicationsJava, SQLno
TriggersBy using transaction functionsyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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)yesyesyes
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 developmentyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
DatomicFatDBHyperSQL infoalso known as HSQLDBSadas Engine
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