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DBMS > Databricks vs. Dgraph vs. Oracle NoSQL

System Properties Comparison Databricks vs. Dgraph vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonOracle NoSQL  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.Distributed and scalable native Graph DBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store
Relational DBMS
Graph DBMSDocument store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.82
Rank#19  Overall
#3  Document stores
#13  Relational DBMS
Score1.80
Rank#148  Overall
#10  Graph DBMS
Score3.97
Rank#96  Overall
#18  Document stores
#16  Key-value stores
#48  Relational DBMS
Websitedatabricks.comdgraph.iowww.oracle.com/­database/­technologies/­related/­nosql.html
Technical documentationdatabricks.com/­documentationdgraph.io/­docsdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperDatabricksDgraph Labs, Inc.Oracle
Initial release201320162011
Current release22.3, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
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 languageGoJava
Server operating systemshostedLinux
OS X
Windows
Linux
Solaris SPARC/x86
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesoptional
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDconfigurable infoACID within a storage node (=shard)
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 cache
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and roles

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More resources
DatabricksDgraphOracle NoSQL
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