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DBMS > Google Cloud Firestore vs. HEAVY.AI vs. Microsoft Azure SQL Database vs. Quasardb vs. Stardog

System Properties Comparison Google Cloud Firestore vs. HEAVY.AI vs. Microsoft Azure SQL Database vs. Quasardb vs. Stardog

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQuasardb  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDatabase as a Service offering with high compatibility to Microsoft SQL ServerDistributed, high-performance timeseries databaseEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Websitefirebase.google.com/­products/­firestoregithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­products/­azure-sql/­databasequasar.aiwww.stardog.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.heavy.aidocs.microsoft.com/­en-us/­azure/­azure-sqldoc.quasar.ai/­masterdocs.stardog.com
DeveloperGoogleHEAVY.AI, Inc.MicrosoftquasardbStardog-Union
Initial release20172016201020092010
Current release5.10, January 2022V123.14.1, January 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial 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 serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C++Java
Server operating systemshostedLinuxhostedBSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nonoyesnono infoImport/export of XML data possible
Secondary indexesyesnoyesyes infowith tagsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoyesyesSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
HTTP APIGraphQL 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
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoTransact SQLnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, with Cloud Functionsnoyesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyes, with always 3 replicas availableSource-replica replication with selectable replication factorMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
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-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users and roles

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More resources
Google Cloud FirestoreHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure SQL Database infoformerly SQL AzureQuasardbStardog
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