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DBMS > Databricks vs. Kdb vs. OpenQM vs. searchxml

System Properties Comparison Databricks vs. Kdb vs. OpenQM vs. searchxml

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKdb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonsearchxml  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.High performance Time Series DBMSQpenQM is a high-performance, self-tuning, multi-value DBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store
Relational DBMS
Time Series DBMS
Vector DBMS
Multivalue DBMSNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.databricks.comkx.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.searchxml.net/­category/­products
Technical documentationdocs.databricks.comcode.kx.comwww.searchxml.net/­support/­handouts
DeveloperDatabricksKx Systems, a division of First Derivatives plcRocket Software, originally Martin Phillipsinformationpartners gmbh
Initial release20132000 infokdb was released 2000, kdb+ in 200319932015
Current release3.6, May 20183.4-121.0
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infowith some exceptionsschema-free
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.yesyesyesyes
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (q)nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesPython
R
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesyes infoon the application server
Triggersyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDmultiple readers, single writer
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.noyesno
User concepts infoAccess controlrights management via user accountsAccess rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
DatabricksKdbOpenQM infoalso called QMsearchxml
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Integrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
DatabricksKdbOpenQM infoalso called QMsearchxml
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Databricks reportedly paid $2 billion in Tabular acquisition
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