Software Alternatives, Accelerators & Startups

Kestra.io VS AWS Step Functions

Compare Kestra.io VS AWS Step Functions and see what are their differences

Kestra.io logo Kestra.io

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

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.
  • Kestra.io Landing page
    Landing page //
    2024-05-28
  • AWS Step Functions Landing page
    Landing page //
    2023-04-29

Kestra.io

Website
kestra.io
$ Details
freemium
Release Date
2022 February
Startup details
Country
France
City
Lille
Employees
10 - 19

Kestra.io features and specs

No features have been listed yet.

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.

Kestra.io videos

Getting Started with Kestra in 15 minutes

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 Kestra.io and AWS Step Functions)
Automation
59 59%
41% 41
Workflow Automation
43 43%
57% 57
Project Management
0 0%
100% 100
Workflows
100 100%
0% 0

User comments

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Reviews

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

Kestra.io Reviews

We have no reviews of Kestra.io yet.
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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 a lot more popular than Kestra.io. While we know about 67 links to AWS Step Functions, we've tracked only 1 mention of Kestra.io. 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.

Kestra.io mentions (1)

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 Kestra.io and AWS Step Functions, you can also consider the following products

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

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.

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

Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.

AWS Lambda - Automatic, event-driven compute service

Make.com - Tool for workflow automation (Former Integromat)