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DBMS > Google Cloud Firestore vs. IBM Db2 Event Store vs. PouchDB vs. Quasardb

System Properties Comparison Google Cloud Firestore vs. IBM Db2 Event Store vs. PouchDB vs. Quasardb

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Distributed Event Store optimized for Internet of Things use casesJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelDocument storeEvent Store
Time Series DBMS
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitefirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storepouchdb.comquasar.ai
Technical documentationfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storepouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperGoogleIBMApache Software Foundationquasardb
Initial release2017201720122009
Current release2.07.1.1, June 20193.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScriptC++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenoSQL-like query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsyesView functions in JavaScriptno
Triggersyes, with Cloud Functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail

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More resources
Google Cloud FirestoreIBM Db2 Event StorePouchDBQuasardb
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