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DBMS > Google Cloud Firestore vs. JaguarDB vs. Microsoft Azure Table Storage vs. Newts vs. Snowflake

System Properties Comparison Google Cloud Firestore vs. JaguarDB vs. Microsoft Azure Table Storage vs. Newts vs. Snowflake

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNewts  Xexclude from comparisonSnowflake  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.Performant, highly scalable DBMS for AI and IoT applicationsA Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS based on CassandraCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument storeKey-value store
Vector DBMS
Wide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.97
Rank#47  Overall
#8  Document stores
Score0.06
Rank#372  Overall
#55  Key-value stores
#14  Vector DBMS
Score5.35
Rank#71  Overall
#6  Wide column stores
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.jaguardb.comazure.microsoft.com/­en-us/­services/­storage/­tablesopennms.github.io/­newtswww.snowflake.com
Technical documentationfirebase.google.com/­docs/­firestorewww.jaguardb.com/­support.htmlgithub.com/­OpenNMS/­newts/­wikidocs.snowflake.net/­manuals/­index.html
DeveloperGoogleDataJaguar, Inc.MicrosoftOpenNMS GroupSnowflake Computing Inc.
Initial release20172015201220142014
Current release3.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesJava
Server operating systemshostedLinuxhostedLinux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyesyesnono
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnonoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP APIHTTP REST
Java API
CLI Client
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnononouser defined functions
Triggersyes, with Cloud Functionsnononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobased on Cassandrayes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
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.rights management via user accountsAccess rights based on private key authentication or shared access signaturesnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Google Cloud FirestoreJaguarDBMicrosoft Azure Table StorageNewtsSnowflake
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24 February 2024, InfoQ.com

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