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DBMS > Apache IoTDB vs. Datomic

System Properties Comparison Apache IoTDB vs. Datomic

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#254  Overall
#20  Time Series DBMS
Score1.77
Rank#130  Overall
#65  Relational DBMS
Websiteiotdb.apache.orgwww.datomic.com
Technical documentationdocs.datomic.com
DeveloperApache Software FoundationCognitect
Initial release20182012
Current release0.9.5951, July 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VM
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJDBCRESTful HTTP API
Supported programming languagesClojure
Java
Server-side scripts infoStored proceduresnoyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
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 development
User concepts infoAccess controlnono

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Apache IoTDBDatomic
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