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DBMS > Datomic vs. EXASOL vs. Kinetica vs. Snowflake vs. Speedb

System Properties Comparison Datomic vs. EXASOL vs. Kinetica vs. Snowflake vs. Speedb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured dataAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websitewww.datomic.comwww.exasol.comwww.kinetica.comwww.snowflake.comwww.speedb.io
Technical documentationdocs.datomic.comwww.exasol.com/­resourcesdocs.kinetica.comdocs.snowflake.net/­manuals/­index.html
DeveloperCognitectExasolKineticaSnowflake Computing Inc.Speedb
Initial release20122000201220142020
Current release1.0.7075, December 20237.1, August 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC, C++C++
Server operating systemsAll OS with a Java VMLinuxhostedLinux
Windows
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Supported programming languagesClojure
Java
Java
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsuser defined functionsuser defined functionsno
TriggersBy using transaction functionsyesyes 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 peersShardingShardingyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
DatomicEXASOLKineticaSnowflakeSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
DatomicEXASOLKineticaSnowflakeSpeedb
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