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DBMS > Google Cloud Firestore vs. Infobright vs. RocksDB vs. Stardog

System Properties Comparison Google Cloud Firestore vs. Infobright vs. RocksDB vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonInfobright  Xexclude from comparisonRocksDB  Xexclude from comparisonStardog  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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Enterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelDocument storeRelational DBMSKey-value storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.66
Rank#57  Overall
#9  Document stores
Score1.03
Rank#147  Overall
#71  Relational DBMS
Score2.61
Rank#97  Overall
#18  Key-value stores
Score0.81
Rank#165  Overall
#13  Graph DBMS
#7  RDF stores
Websitefirebase.google.com/­products/­firestorewww.ignitetech.com/­solutions/­information-technology/­infobrightdbrocksdb.orgwww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­facebook/­rocksdb/­wikiwww.stardog.com/­docs
DeveloperGoogleIgnite Technologies Inc.; formerly InfoBright Inc.Facebook, Inc.Stardog-Union
Initial release2017200520132010
Current release6.5.2, November 20196.2.3, July 2019
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSDcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageCC++Java
Server operating systemshostedLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesno infoKnowledge Grid Technology used insteadnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesnoSPARQL is used as query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
C++ API
Java API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnonouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, with Cloud Functionsnonoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationnoneMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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.fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesnoAccess rights for users and roles
More information provided by the system vendor
Google Cloud FirestoreInfobrightRocksDBStardog
Specific characteristicsStardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesStardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosStardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsStardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsA fully-featured 60-day Trial license is available for those testing Stardog; contact...
» 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 FirestoreInfobrightRocksDBStardog
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
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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 Cloud Firestore, the serverless, NoSQL document database, is now generally available
1 February 2019, Packt Hub

provided by Google News

Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

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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
8 December 2016, DZone News

provided by Google News

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