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DBMS > Databricks vs. IBM Db2 warehouse vs. Netezza

System Properties Comparison Databricks vs. IBM Db2 warehouse vs. Netezza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.Cloud-based data warehousing serviceData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score96.01
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score1.17
Rank#167  Overall
#75  Relational DBMS
Score6.45
Rank#53  Overall
#32  Relational DBMS
Websitewww.databricks.comwww.ibm.com/­products/­db2/­warehousewww.ibm.com/­products/­netezza
Technical documentationdocs.databricks.com
DeveloperDatabricksIBMIBM
Initial release201320142000
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedLinux infoincluded in appliance
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.yesno infoImport/export of XML data possible
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
OLE DB
Supported programming languagesPython
R
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesPL/SQL, SQL PLyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBNetezza infoAlso called PureData System for Analytics by IBM
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