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DBMS > Databricks vs. IBM Db2

System Properties Comparison Databricks vs. IBM Db2

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Our visitors often compare Databricks and IBM Db2 with PostgreSQL, Microsoft SQL Server and MySQL.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  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.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelDocument store
Relational DBMS
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score125.44
Rank#9  Overall
#6  Relational DBMS
Websitewww.databricks.comwww.ibm.com/­products/­db2
Technical documentationdocs.databricks.comwww.ibm.com/­docs/­en/­db2
DeveloperDatabricksIBM
Initial release20131983 infohost version
Current release12.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial infofree version is available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesPython
R
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksIBM Db2 infoformerly named DB2 or IBM Database 2
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksIBM Db2 infoformerly named DB2 or IBM Database 2
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