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DBMS > Databricks vs. eXtremeDB vs. GeoSpock vs. OpenQM vs. SWC-DB

System Properties Comparison Databricks vs. eXtremeDB vs. GeoSpock vs. OpenQM vs. SWC-DB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Natively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleQpenQM is a high-performance, self-tuning, multi-value DBMSA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSMultivalue DBMSWide column store
Secondary database modelsTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.databricks.comwww.mcobject.comgeospock.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.comwww.mcobject.com/­docs/­extremedb.htm
DeveloperDatabricksMcObjectGeoSpockRocket Software, originally Martin PhillipsAlex Kashirin
Initial release2013200119932020
Current release8.2, 20212.0, September 20193.4-120.5, April 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java, JavascriptC++
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes 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.yesno infosupport of XML interfaces availablenoyesno
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLwith Databricks SQLyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)noSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBCProprietary protocol
Thrift
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoyesno
Triggersyes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingAutomatic shardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights can be defined down to the item level
More information provided by the system vendor
DatabrickseXtremeDBGeoSpockOpenQM infoalso called QMSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
DatabrickseXtremeDBGeoSpockOpenQM infoalso called QMSWC-DB infoSuper Wide Column Database
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