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DBMS > Databricks vs. Kinetica vs. SAP Adaptive Server

System Properties Comparison Databricks vs. Kinetica vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKinetica  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  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.Fully vectorized database across both GPUs and CPUsThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score35.09
Rank#25  Overall
#17  Relational DBMS
Websitewww.databricks.comwww.kinetica.comwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationdocs.databricks.comdocs.kinetica.comhelp.sap.com/­docs/­SAP_ASE
DeveloperDatabricksKineticaSAP, Sybase
Initial release201320121987
Current release7.1, August 202116.0
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Unix
Windows
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 indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesPython
R
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsJava and Transact-SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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 infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksKineticaSAP Adaptive Server infoformer name: Sybase ASE
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksKineticaSAP Adaptive Server infoformer name: Sybase ASE
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