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DBMS > Firebase Realtime Database vs. IBM Db2 Event Store vs. PouchDB vs. Tigris

System Properties Comparison Firebase Realtime Database vs. IBM Db2 Event Store vs. PouchDB vs. Tigris

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPouchDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed Event Store optimized for Internet of Things use casesJavaScript DBMS with an API inspired by CouchDBA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument storeEvent Store
Time Series DBMS
Document storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storepouchdb.comwww.tigrisdata.com
Technical documentationfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storepouchdb.com/­guideswww.tigrisdata.com/­docs
DeveloperGoogle infoacquired by Google 2014IBMApache Software FoundationTigris Data, Inc.
Initial release2012201720122022
Current release2.07.1.1, June 2019
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScript
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptGo
Java
JavaScript (Node.js)
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesView functions in JavaScriptno
TriggersCallbacks are triggered when data changesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoby using IndexedDB, WebSQL or LevelDB as backendyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Firebase Realtime DatabaseIBM Db2 Event StorePouchDBTigris
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