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DBMS > Databricks vs. Datomic vs. Dolt vs. Firebase Realtime Database

System Properties Comparison Databricks vs. Datomic vs. Dolt vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonDolt  Xexclude from comparisonFirebase Realtime Database  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Websitewww.databricks.comwww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­realtime-database
Technical documentationdocs.databricks.comdocs.datomic.comdocs.dolthub.comfirebase.google.com/­docs/­database
DeveloperDatabricksCognitectDoltHub IncGoogle infoacquired by Google 2014
Initial release2013201220182012
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGo
Server operating systemshostedAll OS with a Java VMLinux
macOS
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APICLI Client
HTTP REST
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
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
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infocurrently in alpha releaselimited functionality with using 'rules'
TriggersBy using transaction functionsyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlnoOnly one user is configurable, and must be specified in the config file at startupyes, based on authentication and database rules
More information provided by the system vendor
DatabricksDatomicDoltFirebase Realtime Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicDoltFirebase Realtime Database
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