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  5. Kissflow vs Amazon Managed Workflows for Apache Airflow

Kissflow vs Amazon Managed Workflows for Apache Airflow

OverviewComparisonAlternatives

Overview

Kissflow
Kissflow
Stacks10
Followers24
Votes0
Amazon Managed Workflows for Apache Airflow
Amazon Managed Workflows for Apache Airflow
Stacks21
Followers13
Votes0

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Detailed Comparison

Kissflow
Kissflow
Amazon Managed Workflows for Apache Airflow
Amazon Managed Workflows for Apache Airflow

It is a workflow tool & business process workflow management software to automate your workflow process.

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.

Process Management; Case Management; Project Management; Collaboration; Procurement Cloud; Community Platform;
Deploy Airflow rapidly at scale; Run Airflow with built-in security; Reduce operational costs; Use a pre-existing plugin or use your own
Statistics
Stacks
10
Stacks
21
Followers
24
Followers
13
Votes
0
Votes
0
Integrations
DocuSign
DocuSign
Microsoft Outlook
Microsoft Outlook
Smartsheet
Smartsheet
QuickBooks
QuickBooks
Slack
Slack
Google Docs
Google Docs
Dropbox
Dropbox
Salesmate
Salesmate
Salesforce Sales Cloud
Salesforce Sales Cloud
Oracle
Oracle
Airflow
Airflow
AWS Lambda
AWS Lambda
Amazon S3
Amazon S3
Amazon DynamoDB
Amazon DynamoDB
Amazon SNS
Amazon SNS
Amazon CloudWatch
Amazon CloudWatch
Amazon SQS
Amazon SQS
AWS Glue
AWS Glue
Amazon EKS
Amazon EKS
Amazon SageMaker
Amazon SageMaker

What are some alternatives to Kissflow, Amazon Managed Workflows for Apache Airflow?

Airflow

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

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

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Zenaton

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

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.

Unito

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.

Shipyard

Shipyard

na

Flow-Like

Flow-Like

Mission-critical automation you can audit, control and run on-prem. No black boxes. No silent failures. No data leaks. Built for teams that cannot afford uncertainty.

Vison AI

Vison AI

Hire AI Employees that deliver Human-Quality work. Automate repetitive tasks, scale effortlessly, and focus on business growth without increasing head count.

Flumio

Flumio

Flumio is a modern automation platform that lets you build powerful workflows with a simple drag-and-drop interface. It combines the power of custom development with the speed of a no-code/low-code tool. Developers can still embed custom logic directly into workflows.

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