Amazon Managed Workflows for Apache Airflow vs OTRS
Overview
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Detailed Comparison
It is a modern, flexible ticket and process management system that allows service management professionals in any industry to keep pace with today’s lightning-fast,results-driven business environment. | It is a managed orchestration service for Apache Airflow1 that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. With Managed Workflows, you can use Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availability, and security. Managed Workflows automatically scales its workflow execution capacity to meet your needs, and is integrated with AWS security services to help provide you with fast and secure access to data. |
Help Desk Ticket Creation;
Self-Service Tools;
Dashboard with Filter Options;
SMS Notification System;
SLA Management;
Ticket Management;
ITIL Processes;
3rd Party Integration. | Deploy Airflow rapidly at scale; Run Airflow with built-in security; Reduce operational costs; Use a pre-existing plugin or use your own |
Statistics | |
GitHub Stars 858 | GitHub Stars - |
GitHub Forks 451 | GitHub Forks - |
Stacks 22 | Stacks 21 |
Followers 44 | Followers 13 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to OTRS, Amazon Managed Workflows for Apache Airflow?
Jira
Jira's secret sauce is the way it simplifies the complexities of software development into manageable units of work. Jira comes out-of-the-box with everything agile teams need to ship value to customers faster.
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
GitHub Actions
It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.
Apache Beam
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
Bugify
Bugify offers a simple way of managing issues for your projects.
Zenaton
Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.
Luigi
It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
ZenTao
You can effortlessly stay on top of your product development, create and delegate tasks, test your software, customize, store and secure your documents and more.
Bugzilla
Bugzilla is a "Defect Tracking System" or "Bug-Tracking System". Defect Tracking Systems allow individual or groups of developers to keep track of outstanding bugs in their product effectively. Most commercial defect-tracking software vendors charge enormous licensing fees. Despite being "free", Bugzilla has many features its expensive counterparts lack.
Unito
Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.
