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DBMS > Google Cloud Firestore vs. Kinetica vs. NebulaGraph

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonKinetica  Xexclude from comparisonNebulaGraph  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 CPUsA distributed, linear scalable, high perfomant Graph DBMS
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
Score11.36
Rank#45  Overall
#8  Document stores
Score0.63
Rank#255  Overall
#118  Relational DBMS
Score1.83
Rank#150  Overall
#10  Graph DBMS
Websitefirebase.google.com/­products/­firestorewww.kinetica.comgithub.com/­vesoft-inc/­nebula
nebula-graph.io
Technical documentationfirebase.google.com/­docs/­firestorewww.kinetica.com/­docsdocs.nebula-graph.io
DeveloperGoogleKineticaVesoft Inc.
Initial release201720122019
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemshostedLinuxLinux
Data schemeschema-freeyesStrong typed schema
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.nonono
Secondary indexesyesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functions
Triggersyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationCausal Clustering using Raft protocol
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 configurationImmediate Consistency
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 infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
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 levelRole-based access control
More information provided by the system vendor
Google Cloud FirestoreKineticaNebulaGraph
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
NebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Currently we have some top internet companies in China implementing NebulaGraph in...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
At our very early stage, NebulaGraph has already received over 8,200 stars and thousands...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
NebulaGraph is open source and free to use under Apache 2.0 license.
» 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 FirestoreKineticaNebulaGraph
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