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DBMS > Google Cloud Firestore vs. Redis

System Properties Comparison Google Cloud Firestore vs. Redis

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Our visitors often compare Google Cloud Firestore and Redis with Amazon DynamoDB, MongoDB and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonRedis  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.Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#53  Overall
#9  Document stores
Score171.35
Rank#6  Overall
#1  Key-value stores
Websitefirebase.google.com/­products/­firestoreredis.com
redis.io
Technical documentationfirebase.google.com/­docs/­firestoredocs.redis.com/­latest/­index.html
redis.io/­documentation
DeveloperGoogleRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release20172009
Current release6.2.5, July 2021
License infoCommercial or Open SourcecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
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 systemshostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 infowith RediSearch module
SQL infoSupport of SQLnono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersyes, with Cloud Functionspublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowthrough RedisGears
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 Control Lists (ACLs): redis.io/­topics/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­topics/­encryption
Password-based authentication
More information provided by the system vendor
Google Cloud FirestoreRedis
Specific characteristicsThe Redis real-time data platform builds upon the unmatched simplicity and speed...
» more
Competitive advantagesRedis Enterprise is a robust in-memory database platform built by the people who...
» more
Typical application scenariosRedis Enterprise is used by large enterprise, startup, and government organizations...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsMost launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsRedis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more

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More resources
Google Cloud FirestoreRedis
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