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DBMS > Databricks vs. InterSystems IRIS vs. Spark SQL vs. SQLite vs. STSdb

System Properties Comparison Databricks vs. InterSystems IRIS vs. Spark SQL vs. SQLite vs. STSdb

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.databricks.comwww.intersystems.com/­products/­intersystems-irisspark.apache.org/­sqlwww.sqlite.orggithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperDatabricksInterSystemsApache Software FoundationDwayne Richard HippSTS Soft SC
Initial release20132018201420002011
Current release2023.3, June 20233.5.0 ( 2.13), September 20233.46.0  (23 May 2024), May 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoPublic DomainOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaCC#
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
server-lessWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)depending on used data modelyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes infoprimitive types and user defined types (classes)
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.yesyesnono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLwith Databricks SQLyesSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
.NET Client API
Supported programming languagesPython
R
Scala
.Net
C++
Java
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
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnonono
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.noyesnoyes
User concepts infoAccess controlyesnonono
More information provided by the system vendor
DatabricksInterSystems IRISSpark SQLSQLiteSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

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