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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
Score87.68
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score0.39
Rank#265  Overall
#41  Document stores
#123  Relational DBMS
Websitewww.databricks.comwww.sequoiadb.com
Technical documentationdocs.databricks.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksSequoiadb Ltd.
Initial release20132013
License infoCommercial or Open SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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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
More information provided by the system vendor
DatabricksSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksSequoiadb
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Recent citations in the news

When Databricks Will Be As Big as Snowflake; A Sleeper Fintech IPO Candidate
3 December 2024, The Information

Thrive Capital in talks to invest about $1 bln in Databricks, Bloomberg News reports
13 November 2024, Reuters

Databricks and the path to AI-driven data intelligence
4 December 2024, SiliconANGLE News

Start using Databricks Data Intelligence Platform with AWS Marketplace
2 December 2024, AWS Blog

Thrive Capital in Talks to Invest About $1 Billion in Databricks
13 November 2024, Yahoo Finance

provided by Google News

Continuously recognized by Gartner and Forrester, SequoiaDB consolidates its leading position in China's distributed database market
9 March 2023, PR Newswire

provided by Google News



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