Azure Functions vs Redis

Overview

Redis

Stacks61.9K

Followers46.5K

Votes3.9K

GitHub Stars42

Forks6

Azure Functions

Stacks785

Followers705

Votes62

Azure Functions vs Redis: What are the differences?

Azure Functions: Listen and react to events across your stack. Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems; Redis: An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

Azure Functions can be classified as a tool in the "Serverless / Task Processing" category, while Redis is grouped under "In-Memory Databases".

"Pay only when invoked" is the top reason why over 7 developers like Azure Functions, while over 842 developers mention "Performance" as the leading cause for choosing Redis.

Redis is an open source tool with 37.4K GitHub stars and 14.4K GitHub forks. Here's a link to Redis's open source repository on GitHub.

Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Redis, whereas Azure Functions is used by Property With Potential, OneWire, and Veris. Redis has a broader approval, being mentioned in 3261 company stacks & 1781 developers stacks; compared to Azure Functions, which is listed in 30 company stacks and 22 developer stacks.

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Advice on Redis, Azure Functions

Mark

Nov 2, 2020

Needs adviceon

Microsoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

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Detailed Comparison

Redis	Azure Functions
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.	Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.
-	Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box
Statistics
GitHub Stars 42	GitHub Stars -
GitHub Forks 6	GitHub Forks -
Stacks 61.9K	Stacks 785
Followers 46.5K	Followers 705
Votes 3.9K	Votes 62
Pros & Cons
Pros 888 Performance 542 Super fast 514 Ease of use 444 In-memory cache 324 Advanced key-value cache Cons 15 Cannot query objects directly 3 No secondary indexes for non-numeric data types 1 No WAL	Pros 14 Pay only when invoked 11 Great developer experience for C# 9 Multiple languages supported 7 Great debugging support 5 Can be used as lightweight https service Cons 1 Not suited for long-running applications 1 No persistent (writable) file system available 1 Sporadic server & language runtime issues 1 Poor support for Linux environments
Integrations
No integrations available	Azure DevOps Java Bitbucket Node.js Microsoft Azure GitHub Visual Studio Code JavaScript Azure Cosmos DB C#

What are some alternatives to Redis, Azure Functions?

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

Google Cloud Functions

Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

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Azure Functions vs Redis: What are the differences?

Azure Functions can be classified as a tool in the "Serverless / Task Processing" category, while Redis is grouped under "In-Memory Databases".

"Pay only when invoked" is the top reason why over 7 developers like Azure Functions, while over 842 developers mention "Performance" as the leading cause for choosing Redis.

Redis is an open source tool with 37.4K GitHub stars and 14.4K GitHub forks. Here's a link to Redis's open source repository on GitHub.