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DBMS > Databricks vs. Sequoiadb

System Properties Comparison Databricks vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDatabricks  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.NewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.74
Rank#19  Overall
#3  Document stores
#13  Relational DBMS
Score0.49
Rank#264  Overall
#40  Document stores
#120  Relational DBMS
Websitedatabricks.comwww.sequoiadb.com
Technical documentationdatabricks.com/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksSequoiadb Ltd.
Initial release20132013
License infoCommercial or Open SourceOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes 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 indexesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
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 dataACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlsimple password-based access control

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More resources
DatabricksSequoiadb
Recent citations in the news

How Databricks is easing lakehouse adoption
8 December 2022, ComputerWeekly.com

After building Databricks on top of AWS, CEO Ali Ghodsi says change is coming for major cloud providers
29 November 2022, SiliconANGLE News

Data lake upstart Upsolver takes aim at Databricks
9 November 2022, InfoWorld

Azure ML vs. Databricks: Machine Learning Comparison | eWEEK
17 November 2022, eWeek

MSH Partners with Databricks and Informatica to Leverage Machine Learning and Enterprise Cloud Data Management Capabilities
29 November 2022, HR Dive

provided by Google News

WIM2022 New York: China's Trend-Setters in Upcoming Web3 Era
21 July 2022, EqualOcean

provided by Google News

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