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DBMS > Datomic vs. EsgynDB vs. Firebase Realtime Database vs. InterSystems IRIS vs. KeyDB

System Properties Comparison Datomic vs. EsgynDB vs. Firebase Realtime Database vs. InterSystems IRIS vs. KeyDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitewww.datomic.comwww.esgyn.cnfirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­intersystems-irisgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasedocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.keydb.dev
DeveloperCognitectEsgynGoogle infoacquired by Google 2014InterSystemsEQ Alpha Technology Ltd.
Initial release20122015201220182019
Current release1.0.6735, June 20232023.3, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaC++
Server operating systemsAll OS with a Java VMLinuxhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeyesyesschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nononoyesno
Secondary indexesyesyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetJava
JavaScript
Objective-C
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedureslimited functionality with using 'rules'yesLua
TriggersBy using transaction functionsnoCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
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
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
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 developmentnoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rulesyessimple password-based access control and ACL
More information provided by the system vendor
DatomicEsgynDBFirebase Realtime DatabaseInterSystems IRISKeyDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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DatomicEsgynDBFirebase Realtime DatabaseInterSystems IRISKeyDB
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