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DBMS > Databricks vs. Greenplum vs. IBM Db2

System Properties Comparison Databricks vs. Greenplum vs. IBM Db2

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGreenplum  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Websitewww.databricks.comgreenplum.orgwww.ibm.com/­products/­db2
Technical documentationdocs.databricks.comdocs.greenplum.orgwww.ibm.com/­docs/­en/­db2
DeveloperDatabricksPivotal Software Inc.IBM
Initial release201320051983 infohost version
Current release7.0.0, September 202312.1, October 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree version is available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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.yesyes infosince Version 4.2
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesPython
R
Scala
C
Java
Perl
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGreenplumIBM 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
DatabricksGreenplumIBM Db2 infoformerly named DB2 or IBM Database 2
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