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DBMS > Google Cloud Firestore vs. GRAKN.AI vs. RocksDB

System Properties Comparison Google Cloud Firestore vs. GRAKN.AI vs. RocksDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGRAKN.AI  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.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.66
Rank#57  Overall
#9  Document stores
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score2.61
Rank#97  Overall
#18  Key-value stores
Websitefirebase.google.com/­products/­firestoregrakn.airocksdb.org
Technical documentationfirebase.google.com/­docs/­firestoredev.grakn.ai/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleGrakn Labs LtdFacebook, Inc.
Initial release201720162013
Current release1.6.2, January 20206.5.2, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLnonono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
console (shell)
gRPC protocol
Workbase (visualisation software)
C++ API
Java API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnono
Triggersyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes
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.noyes
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.yes infoat REST API level; other APIs in progressno
More information provided by the system vendor
Google Cloud FirestoreGRAKN.AIRocksDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
Google Cloud FirestoreGRAKN.AIRocksDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

Compare Google Cloud Firestore and Firebase Realtime Database
9 August 2019, TechTarget

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

Google Firestore Released
4 February 2019, iProgrammer

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

Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

provided by Google News

Semantic Knowledge Graphing Market With Top Companies Google,
21 January 2020, openPR

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

provided by Google News

AMD EPYC vs. Intel Xeon Cascadelake With Facebook's RocksDB Database
17 October 2019, Phoronix

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Toshiba Memory America Highlights TRocksDB at SNIA's 2019 Storage Developer Conference
23 September 2019, Business Wire

Alluxio Bolsters Data Orchestration for Hybrid Cloud World
11 July 2019, Datanami

MariaDB Adding Support for Facebook MyRocks
9 December 2016, DZone News

provided by Google News

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