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DBMS > Databricks vs. EsgynDB vs. Graph Engine vs. MonetDB vs. OrientDB

System Properties Comparison Databricks vs. EsgynDB vs. Graph Engine vs. MonetDB vs. OrientDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMonetDB  Xexclude from comparisonOrientDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA relational database management system that stores data in columnsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMS
Key-value store
Relational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Websitewww.databricks.comwww.esgyn.cnwww.graphengine.iowww.monetdb.orgorientdb.org
Technical documentationdocs.databricks.comwww.graphengine.io/­docs/­manualwww.monetdb.org/­Documentationwww.orientdb.com/­docs/­last/­index.html
DeveloperDatabricksEsgynMicrosoftMonetDB BVOrientDB LTD; CallidusCloud; SAP
Initial release20132015201020042010
Current releaseDec2023 (11.49), December 20233.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoMozilla Public License 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java.NET and CCJava
Server operating systemshostedLinux.NETFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesnoyes infoSQL 2003 with some extensionsSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
F#
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyesyes, in SQL, C, RJava, Javascript
TriggersnonoyesHooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersnone infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
DatabricksEsgynDBGraph Engine infoformer name: TrinityMonetDBOrientDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEsgynDBGraph Engine infoformer name: TrinityMonetDBOrientDB
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