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DBMS > atoti vs. Datomic vs. IBM Db2 warehouse

System Properties Comparison atoti vs. Datomic vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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 durabilityCloud-based data warehousing service
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score1.34
Rank#166  Overall
#76  Relational DBMS
Websiteatoti.iowww.datomic.comwww.ibm.com/­products/­db2/­warehouse
Technical documentationdocs.atoti.iodocs.datomic.com
DeveloperActiveViamCognitectIBM
Initial release20122014
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemsAll OS with a Java VMhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresPythonyes infoTransaction FunctionsPL/SQL, SQL PL
TriggersBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
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
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 controlnofine grained access rights according to SQL-standard

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More resources
atotiDatomicIBM Db2 warehouse infoformerly named IBM dashDB
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