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DBMS > Datastax Enterprise vs. Firebase Realtime Database

System Properties Comparison Datastax Enterprise vs. Firebase Realtime Database

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Our visitors often compare Datastax Enterprise and Firebase Realtime Database with Cassandra, Neo4j and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelWide column storeDocument store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.17
Rank#42  Overall
#4  Wide column stores
Score11.00
Rank#41  Overall
#7  Document stores
Websitewww.datastax.com/­products/­datastax-enterprisefirebase.google.com/­products/­realtime-database
Technical documentationdocs.datastax.comfirebase.google.com/­docs/­database
DeveloperDataStaxGoogle infoacquired by Google 2014
Initial release20112012
Current release6.7, December 2018
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
hosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'
TriggersyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users can be defined per objectyes, based on authentication and database rules
More information provided by the system vendor
Datastax EnterpriseFirebase Realtime Database
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Datastax EnterpriseFirebase Realtime Database
Conferences and events

DataStax Accelerate, Apache Cassandra Conference
National Harbor, Maryland, USA, 21-23 May 2019

Recent citations in the news

Bouygues Telecom Achieves Zero Downtime by Replacing Relational Database With DataStax
17 April 2019, Business Wire

DataStax 'Database as a Service' Coming to Google Cloud
9 April 2019, Clearfield Progress

What to expect from DataStax Accelerate - Open Source Insider
16 April 2019, ComputerWeekly.com

Google chooses DataStax as Google Cloud's new DBaaS offering
12 April 2019, Help Net Security

DataStax to Present at IDC Multi Cloud Conference 2019 in London
4 April 2019, Olean Times Herald

provided by Google News

Realtime vs Cloud Firestore: Which Firebase Database to go?
12 October 2018, Appinventiv

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16 January 2019, TechTarget

Google’s Cloud Firestore NoSQL database hits general availability
31 January 2019, TechCrunch

Firebase for Startups: A Must-Have or Non-Essential
23 January 2019, Appinventiv

On the verge of Next '19, Google must double down on cloud applications
1 April 2019, SiliconANGLE News

provided by Google News

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