DBMS > Databricks vs. Fauna
System Properties Comparison Databricks vs. Fauna
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|Editorial information provided by DB-Engines|
|Name||Databricks Xexclude from comparison||Fauna previously named FaunaDB Xexclude from comparison|
|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.||Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.|
|Primary database model||Document store|
Time Series DBMS
|License Commercial or Open Source||Open Source||commercial|
|Cloud-based only Only available as a cloud service||yes||yes|
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|Server operating systems||hosted||hosted|
|Data scheme||Flexible Schema (defined schema, partial schema, schema free)||schema-free|
|Typing predefined data types such as float or date||no|
|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||no|
|SQL Support of SQL||with Databricks SQL||no|
|APIs and other access methods||JDBC|
RESTful HTTP API
|RESTful HTTP API|
|Supported programming languages||Python|
|Server-side scripts Stored procedures||user defined functions and aggregates||user defined functions|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning consistent hashing|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Identity management, authentication, and access control|
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|Databricks||Fauna previously named FaunaDB|
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