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DBMS > Google Cloud Firestore vs. Memgraph vs. Neo4j vs. RocksDB

System Properties Comparison Google Cloud Firestore vs. Memgraph vs. Neo4j vs. RocksDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMemgraph  Xexclude from comparisonNeo4j  Xexclude from comparisonRocksDB  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 scaleOpen source graph databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument storeGraph DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.66
Rank#57  Overall
#9  Document stores
Score0.05
Rank#306  Overall
#29  Graph DBMS
Score51.66
Rank#22  Overall
#1  Graph DBMS
Score2.61
Rank#97  Overall
#18  Key-value stores
Websitefirebase.google.com/­products/­firestorememgraph.comneo4j.comrocksdb.org
Technical documentationfirebase.google.com/­docs/­firestoredocs.memgraph.comneo4j.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleMemgraph LtdNeo4j, Inc.Facebook, Inc.
Initial release2017201720072013
Current release3.5.8, July 20196.5.2, November 2019
License infoCommercial or Open Sourcecommercialcommercial infoFree license availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoBSD
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++Java, ScalaC++
Server operating systemshostedLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeschema-free and schema-optionalschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLnononono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Bolt protocol
Cypher query language
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
C++ API
Java API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoUser defined Procedures and Functionsno
Triggersyes, with Cloud Functionsyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMulti-Master replication using RAFTCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infowith snapshot isolationACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
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 permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
Google Cloud FirestoreMemgraphNeo4jRocksDB
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» 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
Google Cloud FirestoreMemgraphNeo4jRocksDB
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Conferences and events

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