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DBMS > Databricks vs. OrientDB vs. SpatiaLite

System Properties Comparison Databricks vs. OrientDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOrientDB  Xexclude from comparisonSpatiaLite  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)Spatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.databricks.comorientdb.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databricks.comwww.orientdb.com/­docs/­last/­index.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksOrientDB LTD; CallidusCloud; SAPAlessandro Furieri
Initial release201320102008
Current release3.2.29, March 20245.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java JDK (>= JDK 6)server-less
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")yes
Typing infopredefined data types such as float or dateyesyes
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 SQLSQL-like query language, no joinsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava, Javascriptno
TriggersHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
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 Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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
User concepts infoAccess controlAccess rights for users and roles; record level security configurableno
More information provided by the system vendor
DatabricksOrientDBSpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOrientDBSpatiaLite
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