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DBMS > Google Cloud Firestore vs. Kinetica vs. Neo4j

System Properties Comparison Google Cloud Firestore vs. Kinetica vs. Neo4j

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonNeo4j  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.Fully vectorized database across both GPUs and CPUsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelDocument storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.51
Rank#45  Overall
#8  Document stores
Score0.56
Rank#269  Overall
#123  Relational DBMS
Score55.43
Rank#20  Overall
#1  Graph DBMS
Websitefirebase.google.com/­products/­firestorewww.kinetica.comneo4j.com
Technical documentationfirebase.google.com/­docs/­firestorewww.kinetica.com/­docsneo4j.com/­docs
DeveloperGoogleKineticaNeo4j, Inc.
Initial release201720122007
Current release7.1, August 20215.3, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC, C++Java, Scala
Server operating systemshostedLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functionsyes infoUser defined Procedures and Functions
Triggersyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
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.Access rights for users and roles on table levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Google Cloud FirestoreKineticaNeo4j
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
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Neo4j delivers graph technology that has been battle tested for performance and scale...
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Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Neo4j is the market leader, graph database category creator, and the most widely...
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Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
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Real-Time Recommendations Master Data Management Identity and Access Management Network...
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Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
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GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
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News

Announcing Neo4j Graph Data Science 2.3
1 February 2023

This Week in Neo4j: VS Code Extension, Geospatial Data, Closeness Centrality, Project Management, and More!
28 January 2023

How to Graph an ERP System in 3 Easy Steps
26 January 2023

Graph Analytics: The Future in Data Science?
25 January 2023

This Week in Neo4j: OpenAI, Deploying on GCP, Neodash, Graph Algorithms, Python, and More
21 January 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesGraphable delivers expert services for Neo4j and other Graph DBMS.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud FirestoreKineticaNeo4j
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