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Databricks System Properties
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|Editorial information provided by DB-Engines|
|Description||The 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 model||Document store|
|License Commercial or Open Source||Open Source|
|Cloud-based only Only available as a cloud service||yes|
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|Server operating systems||hosted|
|Data scheme||Flexible Schema (defined schema, partial schema, schema free)|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes|
|SQL Support of SQL||with Databricks SQL|
|APIs and other access methods||JDBC|
RESTful HTTP API
|Supported programming languages||Python|
|Server-side scripts Stored procedures||user defined functions and aggregates|
|Replication methods Methods for redundantly storing data on multiple nodes||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
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