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DBMS > Databricks vs. Kyligence Enterprise vs. OrigoDB vs. STSdb

System Properties Comparison Databricks vs. Kyligence Enterprise vs. OrigoDB vs. STSdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonSTSdb  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.A distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comkyligence.io/­kyligence-enterpriseorigodb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comorigodb.com/­docs
DeveloperDatabricksKyligence, Inc.Robert Friberg et alSTS Soft SC
Initial release201320162009 infounder the name LiveDB2011
Current release4.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPLv2, commercial license available
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 languageJavaC#C#
Server operating systemshostedLinuxLinux
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infoprimitive types and user defined types (classes)
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 infocan be achieved using .NET
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
.NET Client API
Supported programming languagesPython
R
Scala
.NetC#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRole based authorizationno
More information provided by the system vendor
DatabricksKyligence EnterpriseOrigoDBSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksKyligence EnterpriseOrigoDBSTSdb
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