Software Alternatives, Accelerators & Startups

Make.com VS AWS Step Functions

Compare Make.com VS AWS Step Functions and see what are their differences

Make.com logo Make.com

Tool for workflow automation (Former Integromat)

AWS Step Functions logo AWS Step Functions

AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.
  • Make.com Landing page
    Landing page //
    2022-07-05
  • AWS Step Functions Landing page
    Landing page //
    2023-04-29

Make.com features and specs

  • Ease of Use
    Make.com offers a user-friendly interface with drag-and-drop functionality, making it accessible for non-technical users.
  • Integration Options
    The platform supports a wide array of integrations with popular apps and services, enabling complex workflows.
  • Custom Workflows
    Users can create highly customized workflows tailored to specific business needs, allowing for greater flexibility.
  • Scalability
    Make.com is built to handle both small-scale and enterprise-level tasks, providing a scalable solution as your business grows.
  • Community and Support
    There is an active community and comprehensive support, including documentation and forums, to help users troubleshoot and optimize their usage.
  • Real-time Monitoring and Analytics
    The platform offers real-time monitoring and analytics, allowing users to track the performance of their workflows and make data-driven decisions.
  • Versatile Triggers and Actions
    Make.com offers a variety of triggers and actions that can be used to automate a wide range of tasks across different services.

Possible disadvantages of Make.com

  • Pricing
    The pricing structure can be expensive for small businesses or individual users, especially for advanced features and high-volume usage.
  • Learning Curve
    Despite its user-friendly design, there is still a learning curve for newcomers to understand all the capabilities and features.
  • Occasional Bugs
    Users have reported occasional bugs and issues, which can disrupt workflows and require troubleshooting.
  • Limited Offline Support
    Make.com heavily relies on internet connectivity, which can be a drawback for users requiring offline functionality.
  • Complexity for Advanced Features
    While basic workflows are easy to set up, leveraging more advanced features may require a deeper understanding of the platform and potentially some coding knowledge.
  • Dependency on Third-party Services
    The platform’s effectiveness is influenced by the reliability and performance of third-party services it integrates with, making it susceptible to external issues.
  • Data Privacy Concerns
    Storing and processing data through third-party services may raise privacy and compliance issues for businesses dealing with sensitive information.

AWS Step Functions features and specs

  • Orchestration
    AWS Step Functions provide a way to coordinate multiple AWS services into serverless workflows, making it easier to build and run distributed applications and microservices.
  • Visual Workflow
    The service offers a visual interface to build, run, and monitor multi-step workflows, allowing for easier debugging and comprehension of complex processes.
  • Error Handling
    Step Functions offer built-in error handling, retry logic, and state management, which simplifies the process of managing failures and ensures more robust applications.
  • Scalability
    As a fully managed service, AWS Step Functions handle the scaling of operations automatically, allowing workflows to scale based on demand without manual intervention.
  • Integration
    Deep integration with other AWS services such as Lambda, ECS, SNS, SQS, and DynamoDB, making it straightforward to build complex, integrated workflows.
  • Cost-Effectiveness
    Pay-as-you-go pricing model means you only pay for each state transition, which can be more cost-effective compared to maintaining your own orchestration layer.
  • Audit and Logging
    Automatically logs the state of each execution, which can be used for auditing, debugging, and monitoring purposes.
  • Serverless
    Being a serverless service, it eliminates the need for server management and scaling concerns, ensuring a simpler operational setup.

Possible disadvantages of AWS Step Functions

  • Complexity
    For simple tasks, the overhead of creating and managing workflows with Step Functions can be excessive compared to using straightforward AWS Lambda functions or other simple services.
  • Cold Start Latency
    Like other serverless services, AWS Step Functions can suffer from cold start latency, especially in low-usage scenarios.
  • Cost
    While the pay-as-you-go model can be cost-effective, for workflows with a high number of state transitions, costs can accumulate quickly, making it potentially expensive.
  • Service Limits
    AWS Step Functions have certain limits, such as the number of active state machines per account and state transition limits, that could impact very large scale operations.
  • Learning Curve
    There can be a significant learning curve associated with mastering the service, particularly for those unfamiliar with AWS or similar orchestration tools.
  • JSON-Based Definitions
    State machines are defined in JSON, which can become complex and less readable when dealing with large workflows involving multiple states.
  • Limited Regional Availability
    As with many AWS services, Step Functions are not available in all regions, which can limit its use for global applications.

Make.com videos

Zapier vs Integromat - Quick Comparison Review

More videos:

  • Review - Integromat feature tour
  • Review - Introduction to Integromat

AWS Step Functions videos

Orchestrating Distributed Business Workflows with AWS Step Functions - AWS Online Tech Talks

More videos:

  • Review - AWS Step Functions: Parallelism and concurrency in Step Functions and AWS Lambda
  • Review - AWS Step Functions: Workflows for development and testing

Category Popularity

0-100% (relative to Make.com and AWS Step Functions)
Automation
94 94%
6% 6
Workflow Automation
83 83%
17% 17
Web Service Automation
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Make.com and AWS Step Functions

Make.com Reviews

The Best n8n.io Alternatives for Workflow Automation in 2025
Make, formerly known as Integromat, is a versatile no-code platform that enables users to create sophisticated workflows with ease. It offers a visual workflow builder that allows users to connect various applications and services, define conditional logic, and manipulate data without writing any code. Make's strengths lie in its ability to handle complex workflows and its...
Source: latenode.com
N8n.io Alternatives
One of the standout features of Integromat is its flexibility and customization options. Users can set up multi-step workflows with conditional logic, ensuring that each automation is tailored to their specific needs. Additionally, Integromat offers advanced error handling and data manipulation capabilities, providing robust solutions for complex automation requirements. For...
Source: apix-drive.com
The Best MuleSoft Alternatives [2024]
Make (formerly Integromat) is an integration solution that allows you to automate and connect applications, databases, web services, chatbots, and other systems.
Source: exalate.com
Top 9 MuleSoft Alternatives & Competitors in 2024
Make, one of the best Mulesoft alternatives, the ultimate IT process automation tool for enhancing efficiency, productivity, and collaboration. By automating routine tasks, integrating with existing infrastructure, and offering powerful workflow automation, Make empowers your team to streamline processes and achieve remarkable results.
Source: www.zluri.com
Zapier vs. Make.com: Which Automation Tool Will Take the Business Lead?
Make.com offers a cost-effective option for those looking for a business process automation solution, even if it may compromise usability and integration. From your scenario, Make.com seems like a realistic alternative for those with a more limited budget or those willing to work with additional API documentation and webhooks instead of the broader integration that Zapier...

AWS Step Functions Reviews

Top 8 Apache Airflow Alternatives in 2024
This service suits for many use cases, such as building ETL pipelines, orchestrating microservices, and managing high workloads. AWS Step Functions is particularly efficient when combined with other AWS solutions: Lambda for computing, Dynamo DB for storage, Athena for Analytics, SageMaker for machine learning, etc.
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
AWS Step Functions enable the incorporation of AWS services such as Lambda, Fargate, SNS, SQS, SageMaker, and EMR into business processes, Data Pipelines, and applications. Users and enterprises can choose between 2 types of workflows: Standard (for long-running workloads) and Express (for high-volume event processing workloads), depending on their use case.
Source: hevodata.com

Social recommendations and mentions

Based on our record, AWS Step Functions seems to be more popular. It has been mentiond 67 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.

Make.com mentions (0)

We have not tracked any mentions of Make.com yet. Tracking of Make.com recommendations started around Mar 2021.

AWS Step Functions mentions (67)

  • Create Stateful Serverless Workflows with AWS Step Functions and JSONata
    As an avid user of AWS Step Functions, I've been pleased by several excellent releases over the past few years, including Distributed Map, Express Workflows, Intrinsic functions, TestState, redrive, service integrations, and so many others. Those are all fantastic releases, but in my humble opinion, none of them are as big of a deal as the introduction of JSONata expressions. AWS announced this game-changing... - Source: dev.to / about 1 month ago
  • Automate Email Processing using Event Driven Architecture and Generative AI
    Because the code above enables EventBridge events on the bucket, we can then create a new EventBridge rule to trigger a StepFunction that will then process the emails as follows:. - Source: dev.to / 3 months ago
  • What is AWS Step Functions? - A Complete Guide
    AWS Step Functions is one of those game-changing services that has completely changed how I approach this problem. Today, I want to share my experience with Step Functions and how it can simplify your serverless workflows. - Source: dev.to / 5 months ago
  • Large-scale Data Processing with Step Functions : AWS Project
    The solution uses AWS Step Functions to provides end to end orchestration for processing billions of records with your simulation or transformation logic using AWS Step Functions Distributed Map and Activity features. At the start of the workflow, Step Functions will scale the number of workers to a (configurable) predefined number. It then reads in the dataset and distributes metadata about the dataset in batches... - Source: dev.to / 6 months ago
  • How to invoke a lambda function from your database
    If you need to run long-running jobs, consider using AWS Step Functions in tandem with Lambda functions. - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing Make.com and AWS Step Functions, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Kestra.io - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

n8n.io - Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.

Dagster - The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.