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DBMS > Databricks vs. Faircom EDGE vs. ObjectBox vs. OrientDB

System Properties Comparison Databricks vs. Faircom EDGE vs. ObjectBox vs. OrientDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonObjectBox  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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsExtremely fast embedded database for small devices, IoT and MobileMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Object oriented DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsTime 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
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.databricks.comwww.faircom.com/­products/­faircom-edgeobjectbox.ioorientdb.org
Technical documentationdocs.databricks.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.objectbox.iowww.orientdb.com/­docs/­last/­index.html
DeveloperDatabricksFairCom CorporationObjectBox LimitedOrientDB LTD; CallidusCloud; SAP
Initial release2013197920172010
Current releaseV3, October 20203.2.29, March 2024
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache License 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++Java
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
Android
iOS
Linux
macOS
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeFlexible Schema (defined schema, partial schema, schema free)Flexible 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")
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes
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.yesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infoANSI SQL queriesnoSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary native APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes info.Net, JavaScript, C/C++noJava, Javascript
TriggersyesnoHooks
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsonline/offline synchronization between client and serverMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.noyesno
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yesAccess rights for users and roles; record level security configurable
More information provided by the system vendor
DatabricksFaircom EDGE infoformerly c-treeEDGEObjectBoxOrientDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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