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DBMS > InfinityDB vs. Kinetica vs. Snowflake vs. Spark SQL vs. SQLite

System Properties Comparison InfinityDB vs. Kinetica vs. Snowflake vs. Spark SQL vs. SQLite

Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonKinetica  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceFully 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 processingWidely used embeddable, in-process RDBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websiteboilerbay.comwww.kinetica.comwww.snowflake.comspark.apache.org/­sqlwww.sqlite.org
Technical documentationboilerbay.com/­infinitydb/­manualdocs.kinetica.comdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperBoiler Bay Inc.KineticaSnowflake Computing Inc.Apache Software FoundationDwayne Richard Hipp
Initial release20022012201420142000
Current release4.07.1, August 20213.5.0 ( 2.13), September 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ScalaC
Server operating systemsAll OS with a Java VMLinuxhostedLinux
OS X
Windows
server-less
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yesyes infodynamic column types
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonoyesnono
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsnono
Triggersnoyes 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 nodesnoneShardingyesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnonoyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelUsers with fine-grained authorization concept, user roles and pluggable authenticationnono

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