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DBMS > Databricks vs. OrigoDB vs. OushuDB vs. TerarkDB

System Properties Comparison Databricks vs. OrigoDB vs. OushuDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOrigoDB  Xexclude from comparisonOushuDB  Xexclude from comparisonTerarkDB  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 fully ACID in-memory object graph databaseA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS
Relational DBMSKey-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
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.databricks.comorigodb.comwww.oushu.com/­product/­oushuDBgithub.com/­bytedance/­terarkdb
Technical documentationdocs.databricks.comorigodb.com/­docswww.oushu.com/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDatabricksRobert Friberg et alOushuByteDance, originally Terark
Initial release20132009 infounder the name LiveDB2016
Current release4.0.1, August 2020
License infoCommercial or Open SourcecommercialOpen Sourcecommercialcommercial inforestricted open source version 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 languageC#C++
Server operating systemshostedLinux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesno
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 infocan be achieved using .NETno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoFull-featured ANSI SQL supportno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
C++ API
Java API
Supported programming languagesPython
R
Scala
.NetC
C++
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesno
Triggersyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritydepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole based authorizationKerberos, SSL and role based accessno
More information provided by the system vendor
DatabricksOrigoDBOushuDBTerarkDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOrigoDBOushuDBTerarkDB
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