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DBMS > Databricks vs. Netezza vs. SpaceTime vs. Ultipa

System Properties Comparison Databricks vs. Netezza vs. SpaceTime vs. Ultipa

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpaceTime  Xexclude from comparisonUltipa  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.Data warehouse and analytics appliance part of IBM PureSystemsSpaceTime is a spatio-temporal DBMS with a focus on performance.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.databricks.comwww.ibm.com/­products/­netezzawww.mireo.com/­spacetimewww.ultipa.com
Technical documentationdocs.databricks.comwww.ultipa.com/­document
DeveloperDatabricksIBMMireoUltipa
Initial release2013200020202019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux infoincluded in applianceLinux
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 indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
RESTful HTTP APIRESTful HTTP API
Supported programming languagesPython
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C#
C++
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationReal-time block device replication (DRBD)
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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 controlUsers with fine-grained authorization conceptyes
More information provided by the system vendor
DatabricksNetezza infoAlso called PureData System for Analytics by IBMSpaceTimeUltipa
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksNetezza infoAlso called PureData System for Analytics by IBMSpaceTimeUltipa
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