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DBMS > Datomic vs. Druid

System Properties Comparison Datomic vs. Druid

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDruid  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOpen-source analytics data store designed for OLAP queries on timeseries data
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#106  Overall
#53  Relational DBMS
Score1.73
Rank#111  Overall
#55  Relational DBMS
#7  Time Series DBMS
Websitewww.datomic.comdruid.io
Technical documentationdocs.datomic.comdruid.io/­docs/­latest/­design/­index.html
DeveloperCognitectMetamarkets Group and contributors
Initial release20122012
Current release0.9.5951, July 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Data schemeyesyes infoschema-less columns are supported
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 SQLnoSQL support via Apache Calcite adapter
APIs and other access methodsRESTful HTTP APIJSON over HTTP
Supported programming languagesClojure
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone 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, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yes inforecommended only for testing and developmentno
User concepts infoAccess controlnono infoavailable via extensions

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DatomicDruid
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