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

DBMS > Amazon Aurora vs. ClickHouse vs. Datastax Enterprise vs. Google Cloud Firestore

System Properties Comparison Amazon Aurora vs. ClickHouse vs. Datastax Enterprise vs. Google Cloud Firestore

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Cloud 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.
Primary database modelRelational DBMSRelational DBMSWide column storeDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.15
Rank#47  Overall
#28  Relational DBMS
Score4.24
Rank#73  Overall
#39  Relational DBMS
Score8.48
Rank#46  Overall
#4  Wide column stores
Score6.55
Rank#54  Overall
#9  Document stores
Websiteaws.amazon.com/­rds/­auroraclickhouse.techwww.datastax.com/­products/­datastax-enterprisefirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlclickhouse.tech/­docsdocs.datastax.comfirebase.google.com/­docs/­firestore
DeveloperAmazonYandex LLCDataStaxGoogle
Initial release2015201620112017
Current releasev19.13.3.26, August 20196.7, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
hosted
Data schemeyesschema-freeschema-free
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functions
Triggersyesyesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.
More information provided by the system vendor
Amazon AuroraClickHouseDatastax EnterpriseGoogle Cloud Firestore
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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

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

More resources
Amazon AuroraClickHouseDatastax EnterpriseGoogle Cloud Firestore
DB-Engines blog posts

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

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

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

show all

Recent citations in the news

What is Amazon Aurora?
23 December 2019, TechRadar

Amazon Web Services’ Quantum Ledger Database Teams Up with Blockchain Technology Partners to Integrate Smart Contracts
28 February 2020, Crowdfund Insider

Resource guide for Amazon Aurora users
13 September 2019, MIT Technology Review

Storage Webinars
4 May 2012, StorageReview.com

Amazon Aurora PostgreSQL Serverless generally available: Autoscaling & automatic
12 July 2019, JAXenter

provided by Google News

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

Percona Announces Enhanced Version of Award-Winning Open Source Database Monitoring and Management Platform, For Faster Performance Issue Resolution
1 October 2019, GlobeNewswire

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

provided by Google News

Datastax Launches Tech Support for Open Source Cassandra
17 December 2019, Datanami

The 28 Best Database Management Software Systems and Tools for 2020
13 March 2020, Solutions Review

Graphileon to Support DataStax Enterprise Graph
17 June 2019, Business Wire

Introducing DataStax Luna, Enterprise Support for Apache Cassandra
17 December 2019, Business Wire

DataStax Announces DataStax Enterprise 6.7
5 December 2018, Business Wire

provided by Google News

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

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

Google Cloud weathers global disruptions to multiple services
27 March 2020, ARNnet

Introduction to the Firebase Database
9 March 2020, Database Journal

provided by Google News

Job opportunities

Software Development Engineer - Amazon Aurora
Amazon.com Services LLC, Seattle, WA

Amazon DocumentDB Specialist SA
Amazon Web Services, Inc., New York, NY

Software Development Engineer - Amazon Aurora
Amazon.com Services LLC, East Palo Alto, CA

Software Development Manager - Amazon Aurora
Amazon Web Services, Inc., East Palo Alto, CA

Database Engineer - Aurora
Amazon Web Services, Inc., East Palo Alto, CA

Systems Engineer - Database
Cloudflare, Austin, TX

Senior Software Engineer
Databento, Inc., Boston, MA

Senior MySQL Database Administrator
Impact, Santa Barbara, CA

Engineering Manager
Cloudflare, San Francisco, CA

CDN Analytics Software Engineer
Comcast, Denver, CO

Help Desk Technician
SAIC, Columbia, MD

Southwest Solution Engineering mgr - Datastax
The Search Offices, Los Angeles, CA

Sr. Technical Trainer
DataStax, United States

Product UX Leader
DataStax, United States

Data Engineer
Softvision - North America, Alpharetta, GA

UI Angular Developer
ASAP Solutions, Wayne, NJ

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

jobs by Indeed




Share this page

Featured Products

MariaDB logo

How do MariaDB, Oracle MySQL and EnterpriseDB compare?
Get the white paper to
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.

Couchbase logo

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax Luna logo

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

Present your product here