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DBMS > atoti vs. Datomic vs. OrigoDB

System Properties Comparison atoti vs. Datomic vs. OrigoDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatomic  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fully ACID in-memory object graph database
Primary database modelObject oriented DBMSRelational DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteatoti.iowww.datomic.comorigodb.com
Technical documentationdocs.atoti.iodocs.datomic.comorigodb.com/­docs
DeveloperActiveViamCognitectRobert Friberg et al
Initial release20122009 infounder the name LiveDB
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC#
Server operating systemsAll OS with a Java VMLinux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)nono
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesClojure
Java
.Net
Server-side scripts infoStored proceduresPythonyes infoTransaction Functionsyes
TriggersBy using transaction functionsyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone infoBut extensive use of caching in the application peershorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoRole based authorization

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More resources
atotiDatomicOrigoDB
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