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DBMS > Google Cloud Firestore vs. Memgraph

System Properties Comparison Google Cloud Firestore vs. Memgraph

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Our visitors often compare Google Cloud Firestore and Memgraph with Neo4j, Redis and Titan.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMemgraph  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.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.88
Rank#61  Overall
#9  Document stores
Score0.03
Rank#321  Overall
#30  Graph DBMS
Websitefirebase.google.com/­products/­firestorememgraph.com
Technical documentationfirebase.google.com/­docs/­firestorememgraph.com/­docs
DeveloperGoogleMemgraph Ltd
Initial release20172017
License infoCommercial or Open Sourcecommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedLinux
Data schemeschema-freeschema-free and schema-optional
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 indexesyes
SQL infoSupport of SQLnono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functions
Triggersyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
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, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissions

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More resources
Google Cloud FirestoreMemgraph
Recent citations in the news

Google Cloud Firestore points NoSQL database at mobile, IoT
31 January 2019, TechTarget

Google Launches Cloud Firestore, a Serverless NoSQL Database
31 January 2019, ADT Magazine

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available
8 February 2019, InfoQ.com

Google Cloud Firestore, the serverless, NoSQL document database, is now generally available
1 February 2019, Packt Hub

Google Adds New Management Tools to Cloud Firestore NoSQL Database
9 August 2018, eWeek

provided by Google News

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1 February 2019, PRNewswire

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3 June 2019, Amazing Newspaper

Latest Research Report on Graph Database Market is projected to be around USD +445 million in 2026 | IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, Openlink Software
29 May 2019, Investor Strategy

provided by Google News

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