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DBMS > Databricks

Databricks System Properties

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Our visitors often compare Databricks with Snowflake, PostgreSQL and StarRocks.

Editorial information provided by DB-Engines
NameDatabricks
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.
Primary database modelDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitewww.databricks.com
Technical documentationdocs.databricks.com
DeveloperDatabricks
Initial release2013
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)
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.yes
Secondary indexesyes
SQL infoSupport of SQLwith Databricks SQL
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregates
Replication methods infoMethods for redundantly storing data on multiple nodesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
More information provided by the system vendor
Databricks
Specific characteristics
Supported database models: In addition to the Document store and Relational DBMS listed above, we also support:

Supported programming languages: Python, R, and Scala are the programming languages that can run "within" Databricks. However, just like any other database, one can use virtually any client to connect to Databricks. We provide official drivers in Go, node.js, and Python: https://docs.databricks.com/en/dev-tools/index-driver.html

In-memory capabilities: We started the company initially based on Apache Spark, which is known for its in-memory capabilities, and we certainly support that today. Users can use .cache() API to store data in memory across the cluster for faster computation: https://kb.databricks.com/scala/best-practice-cache-count-take

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More resources
Databricks
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Recent citations in the news

Gigasheet for Databricks Democratizes Data Access for Business Users
23 July 2024, PR Newswire

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15 July 2024, PYMNTS.com

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15 July 2024, Bloomberg

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provided by Google News



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