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DBMS > Firebase Realtime Database vs. Google Cloud Datastore vs. Newts vs. PouchDB vs. Qdrant

System Properties Comparison Firebase Realtime Database vs. Google Cloud Datastore vs. Newts vs. PouchDB vs. Qdrant

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonQdrant  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDBA high-performance vector database with neural network or semantic-based matching
Primary database modelDocument storeDocument storeTime Series DBMSDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score1.28
Rank#167  Overall
#7  Vector DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­datastoreopennms.github.io/­newtspouchdb.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docsgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guidesqdrant.tech/­documentation
DeveloperGoogle infoacquired by Google 2014GoogleOpenNMS GroupApache Software FoundationQdrant
Initial release20122008201420122021
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptRust
Server operating systemshostedhostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesnoNumbers, Strings, Geo, Boolean
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.nonononono
Secondary indexesyesyesnoyes infovia viewsyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoSQL-like query language (GQL)nonono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored procedureslimited functionality with using 'rules'using Google App EnginenoView functions in JavaScript
TriggersCallbacks are triggered when data changesCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonoKey-based authentication

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More resources
Firebase Realtime DatabaseGoogle Cloud DatastoreNewtsPouchDBQdrant
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