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DBMS > Databricks vs. Oracle NoSQL vs. PostGIS

System Properties Comparison Databricks vs. Oracle NoSQL vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPostGIS  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.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score99.29
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Score3.43
Rank#75  Overall
#13  Document stores
#9  Key-value stores
#40  Relational DBMS
Score19.61
Rank#30  Overall
#1  Spatial DBMS
Websitewww.databricks.comwww.oracle.com/­database/­nosql/­technologies/­nosqlpostgis.net
Technical documentationdocs.databricks.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpostgis.net/­documentation
DeveloperDatabricksOracle
Initial release201320112005
Current release24.4, December 20243.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinux
Solaris SPARC/x86
Data schemeFlexible Schema (defined schema, partial schema, schema free)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateoptionalyes
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.yesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
Go
Java
JavaScript (Node.js)
Python
Rust
Typescript (Node.js)
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheno
User concepts infoAccess controlAccess rights for users and rolesyes infobased on PostgreSQL

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