Need advice about which tool to choose?Ask the StackShare community!
Add tool
AWS Step Functions vs Replicated: What are the differences?
- Pricing Model: AWS Step Functions follows a pay-per-state-transition model where charges are based on the number of state transitions. In contrast, Replicated offers a more traditional pricing model where costs are based on the number of servers or nodes in use, providing more predictability for budgeting purposes.
- Customization and Flexibility: AWS Step Functions allow for the creation of complex workflows using a visual editor or code, offering flexibility in designing workflows. On the other hand, Replicated focuses on simplifying the deployment and management of containerized applications, providing a more streamlined approach for software delivery.
- Target Audience: AWS Step Functions cater primarily to developers and IT professionals who need to orchestrate multiple AWS services and manage complex workflows. In comparison, Replicated targets software vendors and enterprise teams looking for a scalable solution to deploy, manage, and update applications at scale.
- Integration Capabilities: AWS Step Functions integrate seamlessly with various AWS services, making it an ideal choice for organizations heavily invested in the AWS ecosystem. Replicated, on the other hand, offers integrations with different deployment strategies and tools, allowing for easy integration into existing software development and deployment pipelines.
- Scalability and Performance: AWS Step Functions are highly scalable and can handle a large number of state transitions efficiently, making them suitable for high-throughput workflows. Replicated focuses on providing reliable and consistent performance for deploying and managing applications, ensuring a seamless experience for end-users.
- Deployment Environment: AWS Step Functions are cloud-based and fully managed by AWS, offering a serverless approach to orchestration. Replicated can be deployed on-premises or in the cloud, providing more control over the deployment environment and data residency requirements.
In Summary, AWS Step Functions and Replicated differ in their pricing model, customization options, target audience, integration capabilities, scalability, and deployment environment.
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of AWS Step Functions
Pros of Replicated
Pros of AWS Step Functions
- Integration with other services7
- Easily Accessible via AWS Console5
- Complex workflows5
- Pricing5
- Scalability3
- Workflow Processing3
- High Availability3
Pros of Replicated
Be the first to leave a pro
Sign up to add or upvote prosMake informed product decisions
What is AWS Step Functions?
AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
What is Replicated?
Replicated wraps your containerized cloud application with enterprise-grade features and deploys it behind your customer's firewall, into a corporate data center or into the private cloud.
Need advice about which tool to choose?Ask the StackShare community!
What companies use AWS Step Functions?
What companies use Replicated?
What companies use AWS Step Functions?
See which teams inside your own company are using AWS Step Functions or Replicated.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with AWS Step Functions?
What tools integrate with Replicated?
What tools integrate with Replicated?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+6 14
15495
What are some alternatives to AWS Step Functions and Replicated?
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
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.
AWS Batch
It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.
AWS Data Pipeline
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
Batch
Yes, we’re really free. So, how do we keep the lights on? Instead of charging you a monthly fee, we sell ads on your behalf to the top 500 mobile advertisers in the world. With Batch, you earn money each month while accessing great engagement tools for free.