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DBMS > Kinetica vs. Snowflake vs. Spark SQL vs. Titan

System Properties Comparison Kinetica vs. Snowflake vs. Spark SQL vs. Titan

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFully vectorized database across both GPUs and CPUsCloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processingTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.snowflake.comspark.apache.org/­sqlgithub.com/­thinkaurelius/­titan
Technical documentationdocs.kinetica.comdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wiki
DeveloperKineticaSnowflake Computing Inc.Apache Software FoundationAurelius, owned by DataStax
Initial release2012201420142012
Current release7.1, August 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ScalaJava
Server operating systemsLinuxhostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
Python
R
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno infosimilar concept for controling cloud resourcesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes, utilizing Spark Coreyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authenticationnoUser authentification and security via Rexster Graph Server

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More resources
KineticaSnowflakeSpark SQLTitan
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26 March 2024, Datanami

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