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DBMS > Databricks vs. OpenQM vs. SAP SQL Anywhere vs. Tkrzw

System Properties Comparison Databricks vs. OpenQM vs. SAP SQL Anywhere vs. Tkrzw

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.QpenQM is a high-performance, self-tuning, multi-value DBMSRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Relational DBMS
Multivalue DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.sap.com/­products/­technology-platform/­sql-anywhere.htmldbmx.net/­tkrzw
Technical documentationdocs.databricks.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDatabricksRocket Software, originally Martin PhillipsSAP infoformerly SybaseMikio Hirabayashi
Initial release2013199319922020
Current release3.4-1217, July 20150.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercialOpen Source infoApache Version 2.0
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 systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infowith some exceptionsyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yesyesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes, in C/C++, Java, .Net or Perlno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksOpenQM infoalso called QMSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOpenQM infoalso called QMSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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