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    Postman Enterprise

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    Sold by: Postman 
    Deployed on AWS
    Postman Enterprise is the AI-native API platform trusted by 40M+ developers and 98% of the Fortune 500. Design, build, test, and govern APIs at enterprise scale-with Agent Mode, MCP server creation, Git-native workflows, multi-protocol support, and enterprise security. Accelerate your API-first and agentic AI initiatives on one unified platform.
    4.6

    Overview

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    Postman Enterprise: The AI-Native API Platform for the Agentic Era-APIs power modern software, and they are the critical infrastructure behind AI agents, LLM applications, and enterprise automation. Postman is built for this reality: a complete, Git-native API platform trusted by 40M+ developers that spans the full lifecycle from API design and development through automated testing, governance, and production observability. For Engineering Leaders and CTOs-The Postman API Catalog delivers a single pane of glass across every API and service in your organization,replacing stale wikis and scattered CI dashboards with a live view of OpenAPI specs, test coverage, CI/CD status, governance compliance, and production performance. Use Agent Mode to debug failures, generate tests, explore service dependencies, and navigate your API Catalog using natural language, all without leaving Postman. Enterprise Organizations lets you group multiple Postman teams under centralized identity, access, and governance controls, giving admins the auditability and control they need without slowing individual teams down. For DevOps and Platform Engineers-Postman integrates natively with GitHub, GitLab, and Bitbucket, letting developers work in Postman on the same branch as their code with full local development support. The Postman CLI runs identical collections, tests, and mock servers in CI/CD pipelines, surfacing failures before they reach production. AI-powered test generation automatically creates contract, unit, integration, and end-to-end tests. When something fails, Agent Mode diagnoses root cause and proposes fixes directly in run results, eliminating manual investigation. For AI Initiatives and Agentic AI Development-Postman is purpose-built for the agentic era. Teams can generate and test MCP servers directly from API collections using first-class MCP request support, with access to Postman's MCP Server Catalog for discovering and adopting agent-compatible endpoints. Use the AI Agent Builder to evaluate LLMs side-by-side and validate AI agent reliability before deployment. Multi-protocol support across HTTP, REST, GraphQL, gRPC, WebSockets, MQTT, and MCP means your entire team works in a single platform regardless of how your AI systems communicate. For All Developers-Collaborate in Git-connected shared workspaces with a single source of truth. Organize requests, specs, environments, and automated workflows in Collections. Publish APIs to your Private API Network-discoverable and queryable by both humans and AI agents. Postman Insights tracks every endpoint in production, giving teams real-time visibility into API health and performance. AWS Integration-Postman connects natively with your AWS stack. The Amazon API Gateway integration populates Postman's API Catalog directly from your gateway, so you can analyze service performance alongside your full API portfolio. AWS Secrets Manager integration lets teams securely store and access AWS credentials within Postman workflows, no manual credential handling required. Enterprise Security and Compliance-SSO via SAML and SCIM, RBAC, User Groups, and centralized admin controls give security and compliance teams the access management and visibility required at enterprise scale. Postman Vault and Local Secret Protection control how credentials move across Git, Postman artifacts, and environments. Data residency in the US or EU, BYOK encryption, and end-to-end encryption support compliance at the most demanding organizations. Used by 98% of the Fortune 500 and more than 500,000 organizations worldwide. Deployed on AWS.

    Highlights

    • Purpose-built for agentic AI and the AI software development lifecycle: Generate and deploy MCP servers from your API collections, evaluate LLMs side-by-side with the AI Agent Builder, and use Agent Mode to debug, generate tests, and explore APIs using natural language-with multi-protocol support for HTTP, REST, GraphQL, gRPC, and MCP.
    • Single pane of glass for API governance and portfolio visibility: Replace scattered wikis and dashboards with the Postman API Catalog-a live view of every API's spec coverage, test results, CI/CD status, and production health, with native Amazon API Gateway integration, enterprise-grade RBAC, SSO via SAML/SCIM, and natural language navigation via Agent Mode.
    • Git-native DevOps with AI-powered test automation: Work in Postman on the same branch as your code with native GitHub, GitLab, and Bitbucket integration, run consistent automated tests locally and in CI/CD pipelines, and let AI-powered test generation produce contract, unit, integration, and end-to-end coverage-so teams ship reliable APIs faster with significantly less manual effort.

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    Pricing

    Postman Enterprise

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    36-month contract (1)

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    Dimension
    Description
    Cost/36 months
    Standard 25 users
    Standard 25 Users
    $44,100.00

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    No Refund

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Enterprise support and service level policy -

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    Product comparison

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    Accolades

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    Top
    10
    In Testing, Collaboration & Productivity, Application Development
    Top
    25
    In Agile Lifecycle Management, Testing
    Top
    25
    In Application Servers

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
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    Overview

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    AI generated from product descriptions
    AI-Powered Test Generation
    Automatically generates contract, unit, integration, and end-to-end tests with AI-powered capabilities to reduce manual testing effort.
    Multi-Protocol Support
    Supports HTTP, REST, GraphQL, gRPC, WebSockets, MQTT, and MCP protocols enabling unified platform usage across diverse API communication methods.
    Git-Native Integration
    Native integration with GitHub, GitLab, and Bitbucket allowing developers to work in the same branch as code with full local development support and CLI execution in CI/CD pipelines.
    API Catalog with Governance
    Centralized API Catalog providing live visibility of OpenAPI specs, test coverage, CI/CD status, governance compliance, and production performance with native Amazon API Gateway integration.
    Enterprise Security Controls
    SSO via SAML and SCIM, RBAC, User Groups, Postman Vault, Local Secret Protection, AWS Secrets Manager integration, data residency options in US or EU, BYOK encryption, and end-to-end encryption support.
    Multi-Protocol API Support
    Supports multiple protocols to ensure consistent and high-quality API design across teams and organizational workflows.
    Built-in Design Validation and Governance
    Includes automated validation rules, compliance checks, and design standards enforcement to maintain API consistency and quality across teams.
    Centralized Collaboration and Version Control
    Provides centralized workflows with real-time updates, commenting capabilities, and version control to improve visibility across the API development lifecycle.
    AWS API Gateway Integration
    Integrates directly with Amazon API Gateway for comprehensive API lifecycle management, enabling secure and scalable API deployment from design to production.
    API Lifecycle Management
    Manages the complete API lifecycle from design through testing and deployment with gateway-agnostic approach for flexible scaling and optimization.
    API Lifecycle Management
    Full lifecycle API management capabilities including creation, management, security, and socialization of APIs across clouds with governance and version control
    Data Transformation Policies
    Built-in and advanced data transformation policies including XSLT, GatewayScript, and custom policies for API mediation and control
    Enterprise-Grade API Gateway
    Encrypted gateway with single-tenant isolation option for cloud-native applications and microservices with pre-built security policies
    Developer Portal and Community Features
    Self-service developer portal with API discovery, exploration, and consumption capabilities including branded customization, blogs, ratings, and forums
    API Analytics and Governance
    Out-of-the-box dashboards for API ecosystem analysis, insights generation, and identification of monetization opportunities with organized API products and visibility controls

    Contract

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    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

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    4.6
    1809 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    81%
    16%
    1%
    1%
    1%
    6 AWS reviews
    |
    1803 external reviews
    External reviews are from G2  and PeerSpot .
    Miguel F.

    The easiest way I've found to work with APIs

    Reviewed on Jun 29, 2026
    Review provided by G2
    What do you like best about the product?
    I use Postman pretty much every day, and the features I rely on the most are Environments and Variables. Being able to switch between development, staging, and production without editing every single request saves me from making a lot of silly mistakes, especially when I'm juggling multiple projects at the same time. I've also really liked how the API Collaboration features have evolved. Sharing collections, documentation, examples, and test cases with the rest of the team has replaced a bunch of separate documents we used to maintain. Everything lives in one place now, which makes life a lot easier. On top of that, the documentation around Postman itself is some of the best I've worked with. Performance has been solid too. Even with fairly large collections, I rarely run into stability issues.
    What do you dislike about the product?
    The only thing I'd point out is that some of the newer features, like Flows and a few of the more advanced collaboration tools, take a bit longer to get comfortable with. Postman has grown into a much bigger platform over the years, so learning the basics is easy, but getting the most out of everything it offers definitely takes some time.
    What problems is the product solving and how is that benefiting you?
    A big part of my work involves integrating third-party services or consuming APIs built by other teams. Before I write a single line of code, I usually spend some time exploring the endpoints, checking responses, testing edge cases, and understanding how the API behaves. Lately we've also been creating shared collections before development even starts. While one part of the team works on the backend, the frontend developers can already validate responses, test contracts, and build against the same collections. By the time everything comes together, we've usually caught most of the integration issues long before they reach production. That's probably the biggest reason I keep using Postman. It stopped being just a tool for testing APIs a long time ago. Now it's where the whole team stays aligned on how an API is supposed to work.
    PramodChaudharyDarwha

    Collaborative API workspaces have streamlined testing, documentation, and daily team alignment

    Reviewed on Jun 23, 2026
    Review from a verified AWS customer

    What is our primary use case?

    Our main use case for Postman Enterprise  is API development, testing, and collaboration with other teams. We also use it heavily to design APIs and test endpoints and then share the collection within the team so that everyone is aligned.

    What is most valuable?

    The best feature that Postman Enterprise  offers is the collections that we can create and then share with the other team. Postman Enterprise also has collections and environment management. We also have automation of testing if we use some scripts. Then we have API document generation as a feature. We also have history tracking enabled in Postman Enterprise.

    The collaboration impacts our team the most because it has reduced the time required for our API testing and improved our collaboration between the teams such as development, QA, and integration.

    Postman Enterprise has impacted our organization positively because on a day-to-day basis, when we are developing APIs for different services, we have to validate the different APIs. When we design this, we should not impact the old ones. Therefore, we have these collections useful in Postman Enterprise that we can share across team members. They can validate if anything is wrong in the existing when we are trying to push the new code. This helps us avoid recreating it, and we can just use the old collection that we have already. Another positive impact is the history feature. The history feature has really helped us a lot. There were cases when we tested an API earlier and needed to recheck the exact request. Instead of recreating it, we could just go back to the history and then find the request and then reuse it. This saved us time and also avoided errors, especially when we were debugging the issues.

    What needs improvement?

    One area for improvement is that sometimes performance is slightly slow when we are handling large collections. Also, we need better integrations with CI/CD tools so that automation would be smoother.

    I would add one more needed improvement: the UI sometimes can feel cluttered. There are too many options when there are too many collections. A more simplified navigation would help for large-scale usage of the collections.

    For how long have I used the solution?

    I have been using Postman Enterprise since six or seven years now.

    What do I think about the stability of the solution?

    In our experience, Postman Enterprise is stable. We have not faced many issues or any downtime because it is a desktop application. We do not feel any slowdown or anything with respect to the stability of the tool.

    What do I think about the scalability of the solution?

    As we discussed earlier, when it comes to bigger collaborations or bigger collections, some performance tuning is expected and is needed. However, it is quite scalable, especially for growing teams with multiple APIs and environments. It supports collaboration, therefore collaboration is good and scalability is also good.

    How are customer service and support?

    Customer support is really good.

    Which solution did I use previously and why did I switch?

    Previously, we used basic tools and sometimes manual API-level testing methods. We switched to Postman Enterprise because it provides us a centralized, structured way of working.

    How was the initial setup?

    Pricing-wise, the cost feels justified given the features such as collaboration and the collections that are there. The setup was straightforward, and we did not require much effort because from our side, it was really simple. Licensing is also simple and flexible, however managing seats for bigger teams needs some planning. Overall, the experience was smooth, just slightly expensive.

    What about the implementation team?

    We do not have any integrations with Postman Enterprise. It is a standalone application in our use case.

    What was our ROI?

    We have definitely seen ROI, mainly in terms of time savings because we reduced the duplication of work, and also we have better collaboration because of Postman Enterprise.

    What's my experience with pricing, setup cost, and licensing?

    Almost 30% of our time has been saved when it comes to complete regression testing of one feature. That is the rough estimate I can provide.

    Which other solutions did I evaluate?

    Before choosing Postman Enterprise, we did look at SoapUI , but Postman Enterprise feels more user-friendly, and it is better for collaboration.

    What other advice do I have?

    I feel the AI features are helpful, especially in generating test scripts or suggestions. I think governance and security are handled very well. Overall, this is an enterprise tool, so there will be proper access control, and data is managed securely.

    The AI features are helpful. Accuracy is good in most cases, but sometimes we need to still validate manually.

    Postman Enterprise helps our organization ensure compliance with industry standards or regulations, but this is a desktop tool, so it does not mainly do many things around compliance issues as things are handled manually by the user. You should be taking care of how the request should be sent and what are the necessary parameters and what are the necessary headers you need to pass in the API. The user who is using the product should be taking care of this. Postman Enterprise does not necessarily have to take care of the industry standards or regulations.

    For new users adopting Postman Enterprise, I would say the learning curve is flat. It is not hard to learn; it is very easy to learn how to use Postman Enterprise.

    Postman Enterprise supports team collaboration and communication through a workspace, so we can share our collections or the requests to the API, and everybody can then utilize it, and they will get updates if something is updated.

    Version control in Postman Enterprise in the sense that whenever we need to update anything, we save it in the workspace or in the collections. In our case, we mainly use different versions of collections either by duplicating them or naming conventions such as V1, V2, V3. So it is not exactly a traditional code versioning, but it works well when we are doing API-level tracking. There is no built-in version control and activity tracking, so we need to take care of those things.

    Postman Enterprise handles large numbers of APIs or high request volumes well when we have a lot of data and also when we have a lot of things in the API request. However, especially when there are a lot of things on Postman Enterprise already preloaded, such as collections and workspaces, it becomes laggy. In that situation, if we are trying to handle a high request volume, then it is handling it fine for testing and development use cases. However, if the collections become very large, then we notice that there is a slight performance lag in the UI. Overall, it is reliable, but managing the structure properly becomes important when it comes to a large scale.

    Postman Enterprise helps our organization with API documentation significantly since we can generate and share the documentation directly from the collection. It keeps everything centralized and up to date, which is helpful for internal and external teams. However, for onboarding new team members, I do not think we take care of it in Postman Enterprise. If you want to give somebody some information, we can give it independently.

    For the person who is trying to look into Postman Enterprise, I would suggest starting with a proper organization of collections and environments from the beginning of its use because it will be better organized. Then you can make full use of workspaces and documentation features so that it will help your collaboration. You can also try the tool with a small team before scaling up the team. I give this review a rating of 9 out of 10.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Computer Software

    One of the Best API Testing Tools with a Simple Storage Structure

    Reviewed on Jun 16, 2026
    Review provided by G2
    What do you like best about the product?
    Postman is one of the best API testing tool. The storage structure is very simple
    What do you dislike about the product?
    It does'nt have the option to store the result of API. Everytime we need to test the API lively and we cannot store the result
    What problems is the product solving and how is that benefiting you?
    I use Postman to test the API and depending upon the Response structure I can do some kind of automation
    Mourya P.

    API Validation with Room for Improvement

    Reviewed on Jun 15, 2026
    Review provided by G2
    What do you like best about the product?
    I like using Postman for API development and loading data because it makes it easier to validate API functionality. I find it helpful that Postman provides a straightforward way to create and execute API requests while giving clear visibility into request headers. Features like Collections, environments, and Automated test scripts save time, reduce human error, improve test consistency, and make it easier to troubleshoot issues. The initial setup of Postman was easy, requiring not much effort and feeling very constructive.
    What do you dislike about the product?
    The main areas that I would improve are collaboration, management of large collections, and more advanced debugging capabilities. There is a need for better collaboration and governance, improved management of large collections, more advanced debugging features, and enhanced reporting and monitoring.
    What problems is the product solving and how is that benefiting you?
    I use Postman to validate API functionality, saving time, reducing human error, improving test consistency, and making troubleshooting easier.
    Srinath R.

    Streamlining API Testing and Development

    Reviewed on Jun 15, 2026
    Review provided by G2
    What do you like best about the product?
    What I like best about Postman is its user-friendly interface and the ability to test APIs quickly without writing additional code. Features like Collections, Environment Variables, and automated testing scripts make API development and debugging much more efficient. It also simplifies collaboration by allowing teams to share API requests, documentation, and test cases in a centralized workspace.
    What do you dislike about the product?
    The learning curve can be a bit steep for beginners, especially when working with automated tests, scripting, and complex environment configurations. However, the extensive documentation helps overcome this challenge.
    What problems is the product solving and how is that benefiting you?
    Postman solves the challenge of testing, validating, and managing APIs efficiently during development. It allows me to send requests, inspect responses, automate tests, and organize endpoints in collections without building a separate frontend. This helps me identify issues faster, reduce debugging time, and improve the overall quality and reliability of my applications. The collaboration and documentation features also make it easier to share APIs with team members and maintain consistency across projects.
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