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DBMS > Google Cloud Firestore vs. Impala

System Properties Comparison Google Cloud Firestore vs. Impala

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Our visitors often compare Google Cloud Firestore and Impala with Microsoft SQL Server, Cassandra and MySQL.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonImpala  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.Analytic DBMS for Hadoop
Primary database modelDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.94
Rank#59  Overall
#9  Document stores
Score14.74
Rank#37  Overall
#23  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationfirebase.google.com/­docs/­firestorewww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperGoogleCloudera
Initial release20172013
Current release3.3.0, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reduce
Triggersyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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, groups and roles infobased on Apache Sentry and Kerberos

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More resources
Google Cloud FirestoreImpala
Recent citations in the news

Google launches Cloud Firestore database for mobile app developers
31 January 2019, SiliconANGLE News

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

Google Firestore Released
4 February 2019, iProgrammer

Google's Cloud-Native NoSQL Database Cloud Firestore Is Now Generally Available
8 February 2019, InfoQ.com

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

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

provided by Google News

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