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DBMS > Datomic vs. Kinetica vs. Snowflake

System Properties Comparison Datomic vs. Kinetica vs. Snowflake

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websitewww.datomic.comwww.kinetica.comwww.snowflake.com
Technical documentationdocs.datomic.comdocs.kinetica.comdocs.snowflake.net/­manuals/­index.html
DeveloperCognitectKineticaSnowflake Computing Inc.
Initial release201220122014
Current release1.0.6735, June 20237.1, August 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, C++
Server operating systemsAll OS with a Java VMLinuxhosted
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsuser defined functions
TriggersBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 developmentyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
DatomicKineticaSnowflake
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