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DBMS > Databricks vs. MaxDB vs. Netezza

System Properties Comparison Databricks vs. MaxDB vs. Netezza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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.A robust and reliable RDBMS optimized to run all major SAP solutionsData 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
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score2.65
Rank#111  Overall
#55  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitewww.databricks.commaxdb.sap.comwww.ibm.com/­products/­netezza
Technical documentationdocs.databricks.commaxdb.sap.com/­documentation
DeveloperDatabricksSAP, acquired from Software AG (Adabas-D) in 1997IBM
Initial release201319842000
Current release7.9.10.12, February 2024
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux 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
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
OLE DB
Supported programming languagesPython
R
Scala
.Net
C#
Java
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
DatabricksMaxDB infoformerly named Adabas-DNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMaxDB infoformerly named Adabas-DNetezza infoAlso called PureData System for Analytics by IBM
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