Software Alternatives, Accelerators & Startups

Taskurai VS Spot.io

Compare Taskurai VS Spot.io and see what are their differences

Taskurai logo Taskurai

Background Tasks, Jobs and Workflow for Azure and .NET

Spot.io logo Spot.io

Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
  • Taskurai Landing page
    Landing page //
    2023-08-28

Taskurai provides an easy-to-setup, scalable platform to run background tasks or jobs using serverless queues and containers. Taskurai offers a convenient way to offload workloads to asynchronous tasks, resulting in more scalable and responsive systems. No deep technical knowledge is needed to run background workers using Taskurai.

Taskurai is built on the foundation of powerful open-source technology in the Kubernetes ecosystem and abstracts the overhead of infrastructure management and orchestration.

Key Features - Easy setup of workers and commands - Serverless setup, no need to set up and maintain any infrastructure or queues - Seamless horizontal scaling (up to 300 worker instances), up to 100 cores in total (depending on your plan), can scale down to zero instances - Keep your existing API fast and responsive, move tasks out of the critical path - Uniform way of creating and following up on tasks - Easy local development experience, isolate your own tasks - Your code runs in actual containers (on Linux) and can contain any kind of solution, not restricted to limitations of functions. Your code can run as long as needed

Usage patterns Taskurai supports various common usage patterns for task processing systems using microservices, as utilized by our customers: - Offloading Non-Critical Tasks (Asynchronous Pattern) - Background processing - Load leveling

Powerful out-of-the-box Run on the foundations of a fully managed powerful Kubernetes-based application platform. Concentrate on your business logic, not technical feats. Serverless setup, no need to setup and maintain any infrastructure.

Build your applications with a powerful and easy to use .NET SDK, designed to be robust and resilient, equipped with automatic and configurable retry patterns.

  • Spot.io Landing page
    Landing page //
    2023-07-25

Taskurai

$ Details
paid $65.0 / Monthly (Start Plan)
Platforms
Azure Docker Kubernetes Linux
Release Date
2023 June

Spot.io

Website
spot.io
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Taskurai features and specs

  • Fully managed: Yes
  • Easy setup: Yes
  • Scale seamlessly: Yes
  • Serverless containers: Yes
  • Message driven: Yes
  • Uniform task enveloppe: Yes
  • Decouple tasks from APIs: Yes
  • Background processing: Yes
  • Load leveling: Yes
  • .NET SDK: Yes
  • CLI: Yes

Spot.io features and specs

No features have been listed yet.

Taskurai videos

No Taskurai videos yet. You could help us improve this page by suggesting one.

+ Add video

Spot.io videos

What Is Serverless?

More videos:

  • Review - The Problem With Serverless
  • Review - Is AWS Amplify better than the Serverless Framework?
  • Review - Spot.io: Optimizing Cloud Infrastructure Through Secure Cost Aware Automation
  • Review - NetApp Buys Spot.io

Category Popularity

0-100% (relative to Taskurai and Spot.io)
Developer Tools
100 100%
0% 0
DevOps Tools
0 0%
100% 100
Application Hosting
100 100%
0% 0
Continuous Integration And Delivery

Questions and Answers

As answered by people managing Taskurai and Spot.io.

What makes your product unique?

Taskurai's answer

Taskurai is designed to run fully managed in your own Azure environment. You do not depend on external SaaS services to run your workloads, enabling you to access your internal resources easily. Taskurai is built by engineers who have over 25 years of experience running task processing solutions in large international organizations, giving you a strong foundation to run a scalable business.

Why should a person choose your product over its competitors?

Taskurai's answer

Taskurai is designed to be a robust and enterprise-ready solution. You can easily run it on a powerful Kubernetes platform without the need for deep technical skills. Your code runs in actual containers (on Linux) and can encompass any kind of solution, not restricted to the limitations of functions. Your code can run as long as needed. Workers can be automatically scaled from zero up to 300 instances, depending on the number of tasks in the queue

Which are the primary technologies used for building your product?

Taskurai's answer

Taskurai is build on the foundation of the Kubernetes ecosystem and Azure components. Build your applications with a powerful and easy to use .NET SDK, designed to be robust and resilient, equipped with automatic and configurable retry patterns.

What's the story behind your product?

Taskurai's answer

Taskurai is built by experienced engineers who have built task-driven software for nearly 25 years for various international companies. Our implementations are running worldwide in industrial plants (textile, machine construction, ...) and corporate companies (HR, finance, ...).

Taskurai is designed to give you state-of-the-art tools to let your applications scale with ease, offering fully managed environments so you can focus on your core business, not technical feats.

Who are some of the biggest customers of your product?

Taskurai's answer

Taskurai is built by experienced engineers who have built task-driven software for nearly 25 years for various international companies. Our implementations are running worldwide in industrial plants (textile, machine construction, ...) and corporate companies (HR, finance, ...).

How would you describe your primary audience?

Taskurai's answer

Our typical customers range from startups to big corporate organizations. Any solution that needs to scale, having various tasks that could be offloaded—such as sending emails, processing orders, file processing—has a significant benefit from using an asynchronous task processing solution like Taskurai.

Other typical usage patterns include background processing (for example, generating monthly subscription invoices, monthly payslip generation, aggregations, ...).

Systems that experience peak usage can benefit from load leveling using the queues offered by Taskurai.

User comments

Share your experience with using Taskurai and Spot.io. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Spot.io seems to be more popular. It has been mentiond 1 time 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.

Taskurai mentions (0)

We have not tracked any mentions of Taskurai yet. Tracking of Taskurai recommendations started around Aug 2023.

Spot.io mentions (1)

  • Nvidia to Acquire Run:AI
    +1 In my previous stint, I had worked with Spot (https://spot.io/) as one of our vendors. Absolutely great product, amazing customer support and ability to take feature requests, or otherwise address our pain points quickly and effectively. - Source: Hacker News / about 1 month ago
  • Is k8s Kops preferable than eks?
    FWIW, I am also a big spot.io fan for our workload. During the holidays I run 30-50% spot instances and run 100% spot most of the year. Source: over 1 year ago
  • Is there anything else we can use beside tags and Cost Explorer to keep track of costs?
    Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 1 year ago
  • AWS spot instances for CI jobs
    All of this is on spot-instances. We used spot.io (I believe the product is called "Ocean") and they basically took care of all the backend logic to make spot-instances available for the ECS cluster. Source: about 2 years ago
  • If I just focus on K8S does the Cloud provider matter much (GKE, EKS etc)
    Does cloud provider matter? I would say/think so. Not just cloud provider, but further more, how you set it up, which begets cloud provider. Are you setting it up with only the aws cli? Or did you terraform it? Maybe you chose a particular terraform module or maybe you used eksctl. Maybe you used kops or kubeadm. All these things matter when you get to cluster autoscaling, tainting particular node types to... Source: almost 3 years ago

What are some alternatives?

When comparing Taskurai and Spot.io, you can also consider the following products

IronWorker - IronWorker is a task processor for applications that isolates the code and dependencies of individual tasks to be processed on demand.

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

Inngest - Application and Data, Application Hosting, and Serverless / Task Processing

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

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

Red Hat OpenShift - Application and Data, Application Hosting, and Platform as a Service