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DBMS > CockroachDB vs. Datomic vs. Firebase Realtime Database

System Properties Comparison CockroachDB vs. Datomic vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Websitewww.cockroachlabs.comwww.datomic.comfirebase.google.com/­products/­realtime-database
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comfirebase.google.com/­docs/­database
DeveloperCockroach LabsCognitectGoogle infoacquired by Google 2014
Initial release201520122012
Current release23.1.1, May 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, Clojure
Server operating systemsLinux
macOS
Windows
All OS with a Java VMhosted
Data schemedynamic schemayesschema-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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnono
APIs and other access methodsJDBCRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnoyes infoTransaction Functionslimited functionality with using 'rules'
TriggersnoBy using transaction functionsCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peers
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 integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 controlRole-based access controlnoyes, based on authentication and database rules

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