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DBMS > Databricks vs. Kinetica vs. OrientDB vs. Yanza

System Properties Comparison Databricks vs. Kinetica vs. OrientDB vs. Yanza

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonKinetica  Xexclude from comparisonOrientDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Fully vectorized database across both GPUs and CPUsMulti-model DBMS (Document, Graph, Key/Value)Time Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.databricks.comwww.kinetica.comorientdb.orgyanza.com
Technical documentationdocs.databricks.comdocs.kinetica.comwww.orientdb.com/­docs/­last/­index.html
DeveloperDatabricksKineticaOrientDB LTD; CallidusCloud; SAPYanza
Initial release2013201220102015
Current release7.1, August 20213.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemshostedLinuxAll OS with a Java JDK (>= JDK 6)Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-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 dateyesyesno
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsSQL-like query language, no joinsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesPython
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsJava, Javascriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeHooksyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and roles; record level security configurableno
More information provided by the system vendor
DatabricksKineticaOrientDBYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksKineticaOrientDBYanza
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