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DBMS > Google BigQuery vs. Redis

System Properties Comparison Google BigQuery vs. Redis

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Our visitors often compare Google BigQuery and Redis with MySQL, Google Cloud Firestore and Google Cloud Datastore.

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesPopular 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 modelRelational DBMSKey-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
Score49.07
Rank#23  Overall
#15  Relational DBMS
Score175.31
Rank#6  Overall
#1  Key-value stores
Websitecloud.google.com/­bigqueryredis.com
redis.io
Technical documentationcloud.google.com/­bigquery/­docsdocs.redis.com/­latest/­index.html
redis.io/­documentation
Social network pagesLinkedInTwitterFacebookYouTubeDiscord
DeveloperGoogleRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release20102009
Current release7.0.0, April 2022
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

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Redis: Fully managed in-memory key-value store, for all your caching and speedy lookup needs.
  • Redis Enterprise Cloud: Instantly scale and pay only for the resources you need - on any cloud - AWS, Azure or Google Cloud.
  • ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC
Server operating systemshostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-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 indexesnoyes infowith RediSearch module
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIproprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
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 proceduresuser defined functions infoin JavaScriptLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersnopublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough 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 datano infoSince BigQuery is designed for querying dataAtomic 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.noyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)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 BigQueryRedis
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 BigQueryRedis
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