Azure Storage vs Celery

Overview

Celery

Stacks1.7K

Followers1.6K

Votes280

GitHub Stars27.5K

Forks4.9K

Azure Storage

Stacks1.3K

Followers787

Votes52

Azure Storage vs Celery: What are the differences?

Azure Storage and Celery are two different technologies used in the development of web applications. While Azure Storage is a service provided by Microsoft Azure for storing different types of data, Celery is a distributed task queue system.

Scalability: Azure Storage is highly scalable and can handle large amounts of data without compromising performance. It provides features like automatic scaling, geo-replication, and load balancing. On the other hand, Celery is designed for distributing tasks across multiple workers, allowing applications to scale horizontally by adding more workers as needed.
Data Types: Azure Storage supports various data types such as blobs, tables, queues, and files, providing different ways to store and retrieve data. It offers built-in features for managing large amounts of structured and unstructured data. In contrast, Celery focuses primarily on managing and distributing tasks among workers, with less emphasis on specific data types.
Integration: Azure Storage is tightly integrated with other services provided by Microsoft Azure, such as Azure Functions, Azure Logic Apps, and Azure Databricks. It can be easily used as a storage solution for these services. On the other hand, Celery can be integrated with various frameworks and technologies, providing flexibility in the choice of tools and libraries.
Message Brokering: Celery utilizes a message broker to handle task distribution among workers. It supports multiple message brokers like RabbitMQ, Redis, and Amazon SQS. This allows applications to use different message brokers based on their specific requirements. Azure Storage, on the other hand, does not provide built-in message brokering capabilities, as it is primarily focused on data storage.
Monitoring and Management: Azure Storage provides comprehensive monitoring and management tools, allowing users to track the performance, usage, and availability of their storage accounts. It offers features like Azure Monitor, Azure Resource Manager, and Azure Storage Explorer. In contrast, Celery does not have built-in monitoring and management tools, but it can be integrated with third-party tools for this purpose.
Pricing Model: Azure Storage follows a pay-as-you-go pricing model, where users are charged based on the amount of storage used and the operations performed on the data. The pricing is flexible and allows users to choose different levels of performance and durability. Celery, being an open-source technology, does not have a specific pricing model. However, users might incur costs related to the infrastructure required to run Celery workers and message brokers.

In Summary, Azure Storage is a scalable and versatile data storage solution tightly integrated with other Azure services, while Celery is a distributed task queue system that focuses on task distribution among workers.

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Advice on Celery, Azure Storage

Shantha

Sep 30, 2020

Needs adviceon

RabbitMQ

Celery

MongoDB

I am just a beginner at these two technologies.

Problem statement: I am getting lakh of users from the sequel server for whom I need to create caches in MongoDB by making different REST API requests.

Here these users can be treated as messages. Each REST API request is a task.

I am confused about whether I should go for RabbitMQ alone or Celery.

If I have to go with RabbitMQ, I prefer to use python with Pika module. But the challenge with Pika is, it is not thread-safe. So I am not finding a way to execute a lakh of API requests in parallel using multiple threads using Pika.

If I have to go with Celery, I don't know how I can achieve better scalability in executing these API requests in parallel.

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Comments

Detailed Comparison

Celery	Azure Storage
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.	Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.
-	Blobs, Tables, Queues, and Files;Highly scalable;Durable & highly available;Premium Storage;Designed for developers
Statistics
GitHub Stars 27.5K	GitHub Stars -
GitHub Forks 4.9K	GitHub Forks -
Stacks 1.7K	Stacks 1.3K
Followers 1.6K	Followers 787
Votes 280	Votes 52
Pros & Cons
Pros 99 Task queue 63 Python integration 40 Django integration 30 Scheduled Task 19 Publish/subsribe Cons 4 Sometimes loses tasks 1 Depends on broker	Pros 24 All-in-one storage solution 15 Pay only for data used regardless of disk size 9 Shared drive mapping 2 Cheapest hot and cloud storage 2 Cost-effective Cons 2 Direct support is not provided by Azure storage
Integrations
No integrations available	Microsoft Azure

What are some alternatives to Celery, Azure Storage?

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Amazon EBS

Amazon EBS volumes are network-attached, and persist independently from the life of an instance. Amazon EBS provides highly available, highly reliable, predictable storage volumes that can be attached to a running Amazon EC2 instance and exposed as a device within the instance. Amazon EBS is particularly suited for applications that require a database, file system, or access to raw block level storage.

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

Google Cloud Storage

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Related Comparisons

Azure Storage vs Celery: What are the differences?

Scalability: Azure Storage is highly scalable and can handle large amounts of data without compromising performance. It provides features like automatic scaling, geo-replication, and load balancing. On the other hand, Celery is designed for distributing tasks across multiple workers, allowing applications to scale horizontally by adding more workers as needed.
Data Types: Azure Storage supports various data types such as blobs, tables, queues, and files, providing different ways to store and retrieve data. It offers built-in features for managing large amounts of structured and unstructured data. In contrast, Celery focuses primarily on managing and distributing tasks among workers, with less emphasis on specific data types.
Integration: Azure Storage is tightly integrated with other services provided by Microsoft Azure, such as Azure Functions, Azure Logic Apps, and Azure Databricks. It can be easily used as a storage solution for these services. On the other hand, Celery can be integrated with various frameworks and technologies, providing flexibility in the choice of tools and libraries.
Message Brokering: Celery utilizes a message broker to handle task distribution among workers. It supports multiple message brokers like RabbitMQ, Redis, and Amazon SQS. This allows applications to use different message brokers based on their specific requirements. Azure Storage, on the other hand, does not provide built-in message brokering capabilities, as it is primarily focused on data storage.
Monitoring and Management: Azure Storage provides comprehensive monitoring and management tools, allowing users to track the performance, usage, and availability of their storage accounts. It offers features like Azure Monitor, Azure Resource Manager, and Azure Storage Explorer. In contrast, Celery does not have built-in monitoring and management tools, but it can be integrated with third-party tools for this purpose.
Pricing Model: Azure Storage follows a pay-as-you-go pricing model, where users are charged based on the amount of storage used and the operations performed on the data. The pricing is flexible and allows users to choose different levels of performance and durability. Celery, being an open-source technology, does not have a specific pricing model. However, users might incur costs related to the infrastructure required to run Celery workers and message brokers.

Azure Storage vs Celery

Overview