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DBMS > Databricks vs. SAP HANA vs. SpaceTime

System Properties Comparison Databricks vs. SAP HANA vs. SpaceTime

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSAP HANA  Xexclude from comparisonSpaceTime  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.In-memory, column based data store. Available as appliance or cloud serviceSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score44.12
Rank#23  Overall
#16  Relational DBMS
Score0.00
Rank#378  Overall
#7  Spatial DBMS
Websitewww.databricks.comwww.sap.com/­products/­hana.htmlwww.mireo.com/­spacetime
Technical documentationdocs.databricks.comhelp.sap.com/­hana
DeveloperDatabricksSAPMireo
Initial release201320102020
Current release2.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesno infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedAppliance or cloud-serviceLinux
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.yesnono
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
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
C++
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesSQLScript, Rno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
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.noyesno
User concepts infoAccess controlyesyes
More information provided by the system vendor
DatabricksSAP HANASpaceTime
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksSAP HANASpaceTime
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