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DBMS > Databricks vs. OrientDB vs. Rockset

System Properties Comparison Databricks vs. OrientDB vs. Rockset

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOrientDB  Xexclude from comparisonRockset  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.Multi-model DBMS (Document, Graph, Key/Value)A scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.databricks.comorientdb.orgrockset.com
Technical documentationdocs.databricks.comwww.orientdb.com/­docs/­last/­index.htmldocs.rockset.com
DeveloperDatabricksOrientDB LTD; CallidusCloud; SAPRockset
Initial release201320102019
Current release3.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedAll OS with a Java JDK (>= JDK 6)hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLSQL-like query language, no joinsRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava, Javascriptno
TriggersHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.no
User concepts infoAccess controlAccess rights for users and roles; record level security configurableAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
DatabricksOrientDBRockset
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksOrientDBRockset
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