DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Firestore vs. Hive vs. Kinetica

System Properties Comparison Google Cloud Firestore vs. Hive vs. Kinetica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHive  Xexclude from comparisonKinetica  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.data warehouse software for querying and managing large distributed datasets, built on HadoopGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.61
Rank#51  Overall
#9  Document stores
Score84.05
Rank#14  Overall
#9  Relational DBMS
Score0.56
Rank#200  Overall
#97  Relational DBMS
Websitefirebase.google.com/­products/­firestorehive.apache.orgwww.kinetica.com
Technical documentationfirebase.google.com/­docs/­firestorecwiki.apache.org/­confluence/­display/­Hive/­Homewww.kinetica.com/­docs
DeveloperGoogleApache Software Foundation infoinitially developed by FacebookKinetica
Initial release201720122012
Current release3.1.2, August 20196.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemshostedAll OS with a Java VMLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyes, with Cloud Functionsnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationselectable replication factorMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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.yes infoGPU vRAM or System RAM
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 rolesAccess rights for users and roles on table level

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud FirestoreHiveKinetica
DB-Engines blog posts

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

show all

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Google unveils Android Performance Tuner, Android GPU Inspector, and Cloud Firestore for game developers
23 March 2020, VentureBeat

Adding Data to a Cloud Firestore Database
11 March 2020, Database Journal

Google Cloud Engine outage caused by 'large backlog of queued mutations'
2 April 2020, The Register

7 Google Cloud database options to free up your IT team
27 March 2020, TechTarget

Spring Boot Tutorial: Building Microservices Deployed to Google Cloud
26 March 2020, InfoQ.com

provided by Google News

Alluxio Unveils Structured Data Service, Enabling Structured Data Applications to Interact Up to 5x Faster with Data
11 March 2020, Yahoo Finance

Analytics Moves To The Cloud, And IBM i Data Goes With It
11 March 2020, IT Jungle

Alluxio Claims 5X Query Speedup by Optimization Data for Compute
11 March 2020, Datanami

MR3 Unleashes Hive on Kubernetes
18 February 2020, Datanami

Apache Hive creator's Quoble goes serverless with Quantum engine
12 June 2019, DevClass

provided by Google News

Barghest Building Performance (BBP) Selects Kinetica Active Analytics Powered by NVIDIA GPUs to Harness the Power of Building Sensor Data
11 March 2020, Valdosta Daily Times

Astonishing growth in Gpu database Market Business Opportunities and Global Industry Analysis by 2026 – Top Companies Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US)
2 April 2020, Bandera County Courier

GPU Database Market to Witness Huge Growth by 2027 | Kinetica DB , Neo4j, OmniSci, SQream Technologies
27 March 2020, Skyline Gazette

Study on GPU Database Market (impact of COVID-19) 2020-2026 Zilliz, Heterodb, H2o.Ai
2 April 2020, Bandera County Courier

Kinetica Collaborates with NVIDIA to Serve Real-time Data-driven Insights
6 November 2019, MarTech Advisor

provided by Google News

Job opportunities

Data Analyst
UST Global, Louisville, KY

SR PROGRAMMER VMS101150
ASAP Solutions, Parsippany, NJ

Cloud Platform Developer
TSI Incorporated, Morris, NY

Senior Devops Engineer
tZERO Group, Inc., Midvale, UT

Senior Software Engineer (REACT Node.JS )
Palo Alto Networks, Santa Clara, CA

Apps Developer
Central Intelligence Agency, Washington, DC

Vice President
Deutsche Bank, Cary, NC

Data Scientist
NewWave HQ, Woodlawn, MD

Data Scientist
UnitedHealth Group, San Juan, PR

Consultant
Microsoft, United States

Customer Support Engineer
Kinetica DB, Arlington, VA

Enterprise Account Executive, America's (Remote - San Francisco, Chicago, Texas, or New York)
Kinetica DB, San Francisco, CA

Customer Success Operations Lead
Kinetica DB, San Francisco, CA

Sales Enablement Manager
Kinetica DB, San Francisco, CA

Business Development Director (Government/Public Sector)
Kinetica DB, Arlington, VA

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Present your product here