StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Product

  • Stacks
  • Tools
  • Companies
  • Feed

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy Policy
  • Terms of Service

© 2025 StackShare. All rights reserved.

API StatusChangelog
  1. Stackups
  2. Stackups
  3. Airflow vs Kissflow

Airflow vs Kissflow

OverviewDecisionsComparisonAlternatives

Overview

Airflow
Airflow
Stacks1.7K
Followers2.8K
Votes128
Kissflow
Kissflow
Stacks10
Followers24
Votes0

Airflow vs Kissflow: What are the differences?

Airflow vs Kissflow

Airflow and Kissflow are both workflow automation tools, but they differ in several key aspects.

1. **Workflow Type**: Airflow is primarily designed for data pipeline orchestration, allowing users to schedule and monitor complex data workflows. On the other hand, Kissflow is focused on business process management, allowing users to create, automate, and track business workflows.

2. **Customization and Extensibility**: Airflow offers a high level of customization and extensibility through its Python-based scripting abilities, which allow users to define complex workflows using code. In contrast, Kissflow offers a more user-friendly interface with pre-built templates and drag-and-drop features, making it easier for non-technical users to create workflows.

3. **Deployment and Scalability**: Airflow requires users to set up and manage their own infrastructure, making it more suitable for organizations with in-house technical expertise. Kissflow, on the other hand, is a cloud-based platform that handles deployment and scalability automatically, making it more accessible to smaller organizations or teams without dedicated IT resources.

4. **Integration with Third-Party Tools**: Airflow has strong integration capabilities with a wide range of third-party tools and services, allowing users to easily connect their workflows with other systems. While Kissflow also offers integrations, its focus is more on providing a comprehensive solution within the platform, reducing the need for external integrations.

5. **Cost Structure**: Airflow is an open-source tool with no licensing fees, but users incur costs for infrastructure management and maintenance. In contrast, Kissflow operates on a subscription-based model, with pricing tiers based on the number of users and features required, making it easier to predict and budget for costs.

6. **User Audience**: Airflow is more suited for technical users who are comfortable with scripting and working with code, making it ideal for data engineers and developers. Kissflow, on the other hand, is designed for business users and process owners who need to streamline and automate workflows without relying on technical expertise.

In Summary, Airflow and Kissflow differ in their focus on workflow types, customization levels, deployment options, integration capabilities, cost structures, and target user audiences.

Advice on Airflow, Kissflow

Anonymous
Anonymous

Jan 19, 2020

Needs advice

I am so confused. I need a tool that will allow me to go to about 10 different URLs to get a list of objects. Those object lists will be hundreds or thousands in length. I then need to get detailed data lists about each object. Those detailed data lists can have hundreds of elements that could be map/reduced somehow. My batch process dies sometimes halfway through which means hours of processing gone, i.e. time wasted. I need something like a directed graph that will keep results of successful data collection and allow me either pragmatically or manually to retry the failed ones some way (0 - forever) times. I want it to then process all the ones that have succeeded or been effectively ignored and load the data store with the aggregation of some couple thousand data-points. I know hitting this many endpoints is not a good practice but I can't put collectors on all the endpoints or anything like that. It is pretty much the only way to get the data.

294k views294k
Comments

Detailed Comparison

Airflow
Airflow
Kissflow
Kissflow

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.

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

Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.;Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.;Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.;Scalable: Airflow has a modular architecture and uses a message queue to talk to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.
Process Management; Case Management; Project Management; Collaboration; Procurement Cloud; Community Platform;
Statistics
Stacks
1.7K
Stacks
10
Followers
2.8K
Followers
24
Votes
128
Votes
0
Pros & Cons
Pros
  • 53
    Features
  • 14
    Task Dependency Management
  • 12
    Cluster of workers
  • 12
    Beautiful UI
  • 10
    Extensibility
Cons
  • 2
    Observability is not great when the DAGs exceed 250
  • 2
    Open source - provides minimum or no support
  • 2
    Running it on kubernetes cluster relatively complex
  • 1
    Logical separation of DAGs is not straight forward
No community feedback yet
Integrations
No integrations available
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

What are some alternatives to Airflow, Kissflow?

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

Camunda

Camunda

Camunda enables organizations to operationalize and automate AI, integrating human tasks, existing and future systems without compromising security, governance, or innovation.

Workflowy

Workflowy

It is an organizational tool that makes life easier. It's a surprisingly powerful way to take notes, make lists, collaborate, brainstorm, plan and generally organize your brain.

Temporal

Temporal

It is a microservice orchestration platform which enables developers to build scalable applications without sacrificing productivity or reliability. Temporal server executes units of application logic, workflows, in a resilient manner that automatically handles intermittent failures, and retries failed operations.

Apache Oozie

Apache Oozie

It is a server-based workflow scheduling system to manage Hadoop jobs. Workflows in it are defined as a collection of control flow and action nodes in a directed acyclic graph. Control flow nodes define the beginning and the end of a workflow as well as a mechanism to control the workflow execution path.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase