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Dask VS Enqueue It

Compare Dask VS Enqueue It and see what are their differences

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Dask logo Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

Enqueue It logo Enqueue It

Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.
  • Dask Landing page
    Landing page //
    2022-08-26
  • Enqueue It Jobs page
    Jobs page //
    2024-02-20
  • Enqueue It Microservice activity
    Microservice activity //
    2024-02-20
  • Enqueue It Job details
    Job details //
    2024-02-20

Enqueue It

Easy and scalable solution for managing and executing background tasks and microservices seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.

Designed to support distributed systems, enabling you to scale your background processes and microservices across multiple servers. With advanced features like performance monitoring, exception logging, and integration with various storage types, providing complete control and visibility over your workflow.

Provides a user-friendly web dashboard that allows you to monitor and manage your jobs and microservices from a centralized location. You can easily check the status of your tasks, troubleshoot issues, and optimize performance.

Benefits and Features

  • Schedule and queue background jobs and microservices
  • Run multiple servers for increased performance and reliability
  • Monitor CPU and memory usage of microservices
  • Log exceptions to help find bugs and memory leaks
  • Connect to multiple storage types for optimal performance:
    • Main storage (Redis) for active jobs and services
    • Long-term storage (SQL databases such as SQL Server, PostgreSQL, MySQL, and more) for completed jobs and job history
  • Web dashboard for monitoring jobs and microservices

Packages

EnqueueIt is available for both .NET and Go.

The .NET packages support all EnqueueIt functionality, including the web dashboard and background jobs, which are exclusively available in the .NET package. The Go package was created as a lightweight alternative for running the EnqueueIt server, enabling the execution of microservices and seamless data synchronization between Redis and SQL databases. Additionally, the Go package supports the enqueueing and scheduling of microservices from Go, as well as the feature of reading microservice arguments.

Dask videos

+ Add

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

  • Review - VLOGTOBER : dask kitchen review ,groceries ,drinks
  • Review - Dask Futures: Introduction

Enqueue It videos

+ Add

Installation and Basics

More videos:

Category Popularity

0-100% (relative to Dask and Enqueue It)

Dask

Enqueue It

Workflows
100 100%
Workflows
0% 0
Microservices Tools
0 0%
Microservices Tools
100% 100
Databases
100 100%
Databases
0% 0
Queueing, Messaging And Background Processing
0 0%
Queueing, Messaging And Background Processing
100% 100

Questions and Answers

As answered by people managing Dask and Enqueue It.

How would you describe your primary audience?

Enqueue It's answer:

dotnet and golang software engineers

What makes your product unique?

Enqueue It's answer:

  • It can be connected to memory and sql databases where the processing can be done fast in memory and when jobs is processed or failed the data synced to sql database to keep up the high performance.
  • It can also run and monitor golang microservices from donet app or even from other golang apps and can monitor the cpu and memory activity of those microservices.

Why should a person choose your product over its competitors?

Enqueue It's answer:

It is completely opensource and free. the performance is unbeatable. it has no servers or apps limit when it come to be used in distribution systems.

Which are the primary technologies used for building your product?

Enqueue It's answer:

dotnet golang redis postgresql mysql sqlserver oracle

User comments

Share your experience with using Dask and Enqueue It. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dask and Enqueue It

Dask Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Dask: You can use Dask for Parallel computing via task scheduling. It can also process continuous data streams. Again, this is part of the "Blaze Ecosystem."
Source: www.xplenty.com

Enqueue It Reviews

We have no reviews of Enqueue It yet.
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Social recommendations and mentions

Based on our record, Dask seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dask mentions (16)

  • Large Scale Hydrology: Geocomputational tools that you use
    We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: about 2 years ago
  • msgspec - a fast & friendly JSON/MessagePack library
    I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: about 2 years ago
  • What does it mean to scale your python powered pipeline?
    Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 2 years ago
  • Data pipelines with Luigi
    To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / over 2 years ago
  • How to load 85.6 GB of XML data into a dataframe
    I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: over 2 years ago
View more

Enqueue It mentions (0)

We have not tracked any mentions of Enqueue It yet. Tracking of Enqueue It recommendations started around Feb 2024.

What are some alternatives?

When comparing Dask and Enqueue It, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Hangfire - An easy way to perform background processing in .NET and .NET Core applications.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby

NumPy - NumPy is the fundamental package for scientific computing with Python

delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job

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