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

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDolt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionDatomic 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.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.datomic.comgithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­netezza
Technical documentationdocs.datomic.comdocs.dolthub.comfirebase.google.com/­docs/­database
DeveloperCognitectDoltHub IncGoogle infoacquired by Google 2014IBM
Initial release2012201820122000
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureGo
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
hostedLinux infoincluded in appliance
Data schemeyesyesschema-freeyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APICLI Client
HTTP REST
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesClojure
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
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infocurrently in alpha releaselimited functionality with using 'rules'yes
TriggersBy using transaction functionsyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone 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.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynoyesnono
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 persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes 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 rulesUsers with fine-grained authorization concept

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More resources
DatomicDoltFirebase Realtime DatabaseNetezza infoAlso called PureData System for Analytics by IBM
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