Azure Cosmos DB vs Redis Cloud

Overview

Redis Cloud

Stacks69

Followers125

Votes9

Azure Cosmos DB

Stacks594

Followers1.1K

Votes130

Azure Cosmos DB vs Redis Cloud: What are the differences?

< Azure Cosmos DB and Redis Cloud are both popular database services that offer distinct features. In this comparison, we will highlight the key differences between these two services.>

Data Model: Azure Cosmos DB is a multi-model database service, supporting multiple data models like document, key-value, graph, and column-family. On the other hand, Redis Cloud is primarily a key-value store, where data is stored as key-value pairs in a highly optimized manner.
Data Consistency: Azure Cosmos DB offers multiple levels of consistency, allowing users to choose between strong, bounded staleness, session, and eventual consistency. Whereas, Redis Cloud is known for its eventual consistency model, where read and write operations may not reflect the latest changes immediately.
Scalability: Azure Cosmos DB provides horizontal scalability by distributing data across multiple regions globally, ensuring high availability and low latency. In contrast, Redis Cloud offers vertical scalability with the ability to scale up resources within a single node.
Query Language: Azure Cosmos DB supports SQL-like query language, LINQ queries, MongoDB queries, Gremlin for graph, and Spark. Redis Cloud does not provide a built-in query language but allows users to fetch data based on keys or patterns.
Caching Capabilities: Redis Cloud is commonly used for caching purposes due to its in-memory data store feature, allowing lightning-fast read and write operations. While Azure Cosmos DB doesn't focus primarily on caching, it can be adapted for caching certain data if required.
Use Cases: Azure Cosmos DB is suitable for applications requiring globally distributed, high-throughput, low-latency data access across multiple regions. On the other hand, Redis Cloud is preferred for real-time applications, caching, session management, message queuing, and pub/sub systems where speed matters more than strong consistency.

In Summary, Azure Cosmos DB and Redis Cloud differ in terms of data model flexibility, data consistency options, scalability approaches, query language support, caching capabilities, and suitable use cases.

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Detailed Comparison

Redis Cloud	Azure Cosmos DB
Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.	Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.
Infinite scalability, all commands supported;Auto-failover with no ops;Highest performance, even for small datasets;Fully managed — completely hassle-free	Fully managed with 99.99% Availability SLA;Elastically and highly scalable (both throughput and storage);Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes;Globally distributed with multi-region replication;Rich SQL queries over schema-agnostic automatic indexing;JavaScript language integrated multi-record ACID transactions with snapshot isolation;Well-defined tunable consistency models: Strong, Bounded Staleness, Session, and Eventual
Statistics
Stacks 69	Stacks 594
Followers 125	Followers 1.1K
Votes 9	Votes 130
Pros & Cons
Pros 9 Heroku Addon	Pros 28 Best-of-breed NoSQL features 22 High scalability 15 Globally distributed 14 Automatic indexing over flexible json data model 10 Tunable consistency Cons 18 Pricing 4 Poor No SQL query support
Integrations
No integrations available	Azure Machine Learning MongoDB Hadoop Java Azure Functions Azure Container Service Azure Storage Azure Websites Apache Spark Python

What are some alternatives to Redis Cloud, Azure Cosmos DB?

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

Cloudant

Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own.

Google Cloud Bigtable

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

Redis To Go

Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

Google Cloud Datastore

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.

CloudBoost

CloudBoost.io is a database service for the “next web” - that not only does data-storage, but also search, real-time and a whole lot more which enables developers to build much richer apps with 50% less time saving them a ton of cost and helping them go to market much faster.

Firebase Realtime Database

It is a cloud-hosted NoSQL database that lets you store and sync data between your users in realtime. Data is synced across all clients in realtime, and remains available when your app goes offline.

Heroku Redis

Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.

restdb.io

RestDB is a NoSql document oriented database cloud service. Data is accessed as JSON objects via HTTPS. This gives great flexibility, easy system integration and future compatibility.

Related Comparisons

Azure Cosmos DB vs Redis Cloud: What are the differences?

< Azure Cosmos DB and Redis Cloud are both popular database services that offer distinct features. In this comparison, we will highlight the key differences between these two services.>

Data Model: Azure Cosmos DB is a multi-model database service, supporting multiple data models like document, key-value, graph, and column-family. On the other hand, Redis Cloud is primarily a key-value store, where data is stored as key-value pairs in a highly optimized manner.
Data Consistency: Azure Cosmos DB offers multiple levels of consistency, allowing users to choose between strong, bounded staleness, session, and eventual consistency. Whereas, Redis Cloud is known for its eventual consistency model, where read and write operations may not reflect the latest changes immediately.
Scalability: Azure Cosmos DB provides horizontal scalability by distributing data across multiple regions globally, ensuring high availability and low latency. In contrast, Redis Cloud offers vertical scalability with the ability to scale up resources within a single node.
Query Language: Azure Cosmos DB supports SQL-like query language, LINQ queries, MongoDB queries, Gremlin for graph, and Spark. Redis Cloud does not provide a built-in query language but allows users to fetch data based on keys or patterns.
Caching Capabilities: Redis Cloud is commonly used for caching purposes due to its in-memory data store feature, allowing lightning-fast read and write operations. While Azure Cosmos DB doesn't focus primarily on caching, it can be adapted for caching certain data if required.
Use Cases: Azure Cosmos DB is suitable for applications requiring globally distributed, high-throughput, low-latency data access across multiple regions. On the other hand, Redis Cloud is preferred for real-time applications, caching, session management, message queuing, and pub/sub systems where speed matters more than strong consistency.

Azure Cosmos DB vs Redis Cloud

Overview