DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Druid vs. Google Cloud Firestore vs. RethinkDB

System Properties Comparison Apache Druid vs. Google Cloud Firestore vs. RethinkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud 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.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score9.97
Rank#47  Overall
#8  Document stores
Score2.81
Rank#110  Overall
#20  Document stores
Websitedruid.apache.orgfirebase.google.com/­products/­firestorerethinkdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestorerethinkdb.com/­docs
DeveloperApache Software Foundation and contributorsGoogleThe Linux Foundation infosince July 2017
Initial release201220172009
Current release29.0.0, February 20242.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
hostedLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometry
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functions
Triggersnoyes, with Cloud FunctionsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
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.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousers and table-level permissions

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

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

More resources
Apache DruidGoogle Cloud FirestoreRethinkDB
DB-Engines blog posts

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

show all

Meet some database management systems you are likely to hear more about in the future
4 August 2014, Paul Andlinger

show all

Recent citations in the news

Part 1: Apache Druid for real-time OLAP | by Subhashini | Mar, 2024
28 March 2024, Medium

Part 2: Apache Druid on Kubernetes | by Subhashini | Mar, 2024
28 March 2024, Medium

Apache Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers' Choice Awards
26 January 2024, Datanami

'Lucifer' Botnet Turns Up the Heat on Apache Hadoop Servers
21 February 2024, Dark Reading

Imply Data gives Apache Druid schema auto-discover capability
6 June 2023, SiliconANGLE News

provided by Google News

Google Introduces Firestore Multiple Databases
24 February 2024, InfoQ.com

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Google’s Firebase gets AI extensions, opens up its marketplace
10 May 2023, TechCrunch

Essentials for Working With Firestore in Python | by Lynn G. Kwong
13 November 2022, Towards Data Science

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

provided by Google News

MongoDB: The Popular Database for IoT
15 August 2023, Open Source For You

An introduction to building realtime apps with RethinkDB
9 July 2022, devm.io

How to Use RethinkDB with Node.js Applications — SitePoint
16 December 2015, SitePoint

Stripe acquires team behind NoSQL database startup RethinkDB
5 October 2016, VentureBeat

RethinkDB is dead, and MongoDB isn't what killed it
24 January 2017, TechRepublic

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here