Postman vs Apidog: Choosing the Suitable API Development Tool

Postman has long been the go-to tool for API developers, offering a robust and feature-rich platform to design, test, and debug application programming interfaces. However, a new contender has emerged in the form of Apidog - a promising newcomer that is quickly gaining traction in the API management space.

Both Postman and Apidog aim to streamline the API development lifecycle, providing users with an array of functionalities to construct HTTP requests, inspect responses, and validate API behavior. From API design to testing and mocking, these tools share a common goal of empowering developers to build better, more reliable APIs.

However, the core difference between the two lies in their target user groups. Postman is primarily designed for API consumers, while Apidog is more suitable for API development teams.

Postman: Ideal for API consumers

Postman has established itself as an indispensable tool for API consumers, offering a suite of features that address the fundamental needs of interacting with APIs efficiently and effectively. It is particularly advantageous in several key scenarios:

Ideal Use Cases:

1. Rapid Request Creation and Execution: Postman is exceptional for quickly crafting and sending requests to an already developed API. Its intuitive interface and robust feature set allow users to easily configure different HTTP methods, manage headers, and specify parameters, enabling precise and efficient API interaction.

2. Organizing Requests with Collections: Users can assemble and organize their API requests into Collections, facilitating the sequential sending of multiple requests. This is particularly useful in scenarios where a series of requests are required to achieve a specific outcome, such as testing a workflow or sequence of API calls.

3. Forking Existing Collections: One of Postman’s unique strengths is the ability to fork collections created by others. Developers can easily duplicate publicly available Postman collections, modifying them to fit their particular needs without starting from scratch. This feature saves time and encourages collaboration by allowing developers to build upon existing work.

4. Visualizing with Postman Flow: Postman Flow provides a powerful way to create request flows and visual representations of API interactions. This feature helps developers design complex request chains and enhances clarity in understanding how different requests interact within an API ecosystem.

Limitations:

Despite its benefits, Postman does have several limitations that may affect its suitability for certain development scenarios:

1. Limited Support for APIs in Development: Postman is not ideally suited for APIs that are still under development. Frequent API changes necessitate constant rewriting of requests and scripts, adding additional overhead for developers when working with APIs that are evolving rapidly.

2. Detached API Specification: In Postman, the API specification and collections are distinct from one another, preventing the establishment of a single point of truth for API data. This separation can lead to discrepancies and confusion, as updates to the API specification may not automatically reflect in existing collections.

3. Collection Run Limitations: Postman imposes limitations on the number of collection runs one can execute for free. Users have a cap of 25 runs per month, after which they must switch to a paid plan to continue running their collections, potentially adding unanticipated costs for small teams or individual developers working on budget constraints.

Apidog: Ideal for API development teams

Apidog emerges as a valuable tool for API development teams, particularly those engaged with APIs that are actively under development. It provides features that serve collaborative and dynamic environments, enabling teams to work more effectively and with greater agility.

Ideal Use Cases:

1. Visual API Specification Creation: Apidog shines in environments where API specifications are frequently evolving. It enables teams to create and manage API specs visually, allowing seamless updates and changes, which is particularly beneficial during the iterative development phases.

2. Visual Test and Assertion Creation for QA Teams: Quality assurance teams can leverage Apidog's ability to create visual tests and assertions, streamlining the testing process. Its compatibility with Postman scripts ensures that existing test scripts can be integrated without significant rework, fostering greater flexibility and ease of transition.

3. Real-Time Updates with API Spec Changes: One of Apidog’s standout features is its ability to reflect changes in API specs immediately across all related requests. This feature ensures that tests and requests remain current with the latest API developments, reducing the need for manual updates and minimizing errors.

4. Logical and Data Flow Visualization: Developers can visually orchestrate different requests, defining logical relationships and data flows between them. This capability helps in designing complex API interactions and ensures data passes correctly through various request chains.

5. Auto-Generated Requests and Mock Responses: Apidog can automatically generate requests and mock responses based on API specifications. This feature facilitates rapid prototyping and testing, allowing teams to simulate API behavior before the backend is fully implemented.

6. Unlimited Collection Runs: Unlike some other tools, Apidog does not restrict the number of collection runs, enabling development teams to conduct extensive testing and iterations without incurring additional costs.

Limitations:

Despite its advantages, Apidog has certain limitations which may not cater well to all user scenarios:

1. Complexity for API Consumers: For API consumers who primarily need to send requests, Apidog’s interface and setup process may seem more complicated compared to simpler tools. This complexity can be a barrier for users who just need quick and straightforward API interaction.

2. Lack of Flow Visualization for Diagram Creation: While Apidog excels in many aspects of managing and testing APIs, it falls short when it comes to offering features like Postman Flow, which allows developers to create visual diagrams of their API interactions. This absence can make it less appealing for users who prioritize visual representations of workflow logic.

Feature Comparison: Postman vs Apidog

Here is a simple comparison of core features of Postman and Apidog.

		Postman	Apidog
Sending Requests
	HTTP	✅	✅
	WebSocket	✅	✅
	SOAP	✅	✅
	GraphQL	✅	✅
	gRPC	✅	✅
	SSE	✅	✅
API Designing
	Design APIs visually	🚫	✅
	Import/export OAS	✅	✅
	Define and reuse schemas	🚫	✅
	Parse API specification from request	🚫	✅
	Generate example automatically	🚫	✅
	Branches	✅	✅
API Debugging
	Pre/post-request scripts	✅	✅
	Response validation	🚫	✅
	Connect to databases	🚫	✅
	Multiple services	🚫	✅
	Reference other programming languages	🚫	✅
API Testing
	Visual Orchestration with no code	🚫	✅
	Visual assertions	🚫	✅
	CI/CD	✅	✅
	Run collections	25/month	Unlimited
	Scheduled task	✅	✅
	Performance test	✅	✅
	Online test reports	🚫	✅
	Self-hosted runner	🚫	✅
API Documentation
	Custom domain	🚫	✅
	Custom documentation layout	🚫	✅
	Markdown pages	🚫	✅
	Versioning	🚫	✅
API Mocking
	Fixed response mocking	✅	✅
	Smart mock engine	🚫	✅
	Cloud mock server	🚫	✅
	Customized mocking scripts	🚫	✅
	Self-hosted mock server	🚫	✅
IDE plugin		VS Code	IDEA

Comments

[Walse]

Been using Apidog. Love it and would recommend it for all developers.

[Wanda]

It is indeed a beneficial API testing and development tool!

[meis]

Umm, have seen from time to time leadership avoiding Postman, likely due to 🤑, but eng(s) surely <3 it.

Postman: 10/10

[Jeroen van Meerendonk]

I'm just a huge fan of Bruno.

[John Doe]

Definitely a game changer in the API development scene. I have been using Apidog and have not looked back since.

[Daisy]

Thanks for sharing! I’ve been using Postman for a while, but I’ll give APIDOG a try—it sounds great.

[Fallon Jimmy]

Great advice

[Anakin]

Wow, thanks for sharing