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DBMS > Databricks vs. OushuDB vs. Sequoiadb

System Properties Comparison Databricks vs. OushuDB vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOushuDB  Xexclude from comparisonSequoiadb  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 data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Relational 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
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.databricks.comwww.oushu.com/­product/­oushuDBwww.sequoiadb.com
Technical documentationdocs.databricks.comwww.oushu.com/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksOushuSequoiadb Ltd.
Initial release20132013
Current release4.0.1, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinuxLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regex
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
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLFull-featured ANSI SQL supportSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
C
C++
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesJavaScript
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlKerberos, SSL and role based accesssimple password-based access control
More information provided by the system vendor
DatabricksOushuDBSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksOushuDBSequoiadb
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