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DBMS > Databricks vs. Dolt vs. Firebase Realtime Database vs. InterSystems Caché

System Properties Comparison Databricks vs. Dolt vs. Firebase Realtime Database vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDolt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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.A MySQL compatible DBMS with Git-like versioning of data and schemaCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A multi-model DBMS and application server
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Websitewww.databricks.comgithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­cache
Technical documentationdocs.databricks.comdocs.dolthub.comfirebase.google.com/­docs/­databasedocs.intersystems.com
DeveloperDatabricksDoltHub IncGoogle infoacquired by Google 2014InterSystems
Initial release2013201820121997
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedLinux
macOS
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
HTTP REST
Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript
Objective-C
C#
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infocurrently in alpha releaselimited functionality with using 'rules'yes
TriggersyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupyes, based on authentication and database rulesAccess rights for users, groups and roles
More information provided by the system vendor
DatabricksDoltFirebase Realtime DatabaseInterSystems Caché
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDoltFirebase Realtime DatabaseInterSystems Caché
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