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DBMS > Databricks vs. Kdb vs. OpenQM vs. PieCloudDB

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKdb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPieCloudDB  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 DBMSA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelDocument store
Relational DBMS
Time Series DBMS
Vector DBMS
Multivalue DBMSRelational DBMS
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
Score0.37
Rank#271  Overall
#127  Relational DBMS
Websitewww.databricks.comkx.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.openpie.com
Technical documentationdocs.databricks.comcode.kx.com
DeveloperDatabricksKx Systems, a division of First Derivatives plcRocket Software, originally Martin PhillipsOpenPie
Initial release20132000 infokdb was released 2000, kdb+ in 20031993
Current release3.6, May 20183.4-122.1, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageq
Server operating systemshostedLinux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infowith some exceptionsyes
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.yesyesyes
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (q)noyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
CLI Client
JDBC
ODBC
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
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesuser defined functions
Triggersyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno
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 dataACIDnoACIDACID
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.noyes
User concepts infoAccess controlrights management via user accountsAccess rights can be defined down to the item levelUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
DatabricksKdbOpenQM infoalso called QMPieCloudDB
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...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
DatabricksKdbOpenQM infoalso called QMPieCloudDB
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