Postman vs Sentry

Postman

Platform for building and testing APIs

Postman is a platform for building, testing, documenting and collaborating on APIs. It started as a simple tool for sending HTTP requests and inspecting responses, and grew into one of the most widely used developer tools in the world, used by millions of developers and most large companies. Its origin explains its popularity. Testing an API from the command line or writing throwaway code is tedious; Postman provided a friendly interface where developers could construct requests, set headers and authentication, send them and read formatted responses. Saving requests into collections, with variables and environments for different stages such as development and production, made it easy to reuse and share API calls across a team. The platform now covers the API lifecycle. Developers can design APIs using specifications such as OpenAPI, generate documentation automatically, create mock servers so front-end teams can work before the backend is ready, and write automated tests that run in continuous integration pipelines through the Newman runner and Postman CLI. Monitors check API health on a schedule, and workspaces let teams and external partners collaborate on collections. The Public API Network hosts collections from many companies, making it easier to start using their APIs. Postman supports REST, GraphQL, gRPC and WebSocket, and AI features help write tests, generate requests and build AI agents that call APIs. Postman offers a free plan for individuals and small teams, with paid plans adding collaboration, governance and enterprise features. Common criticisms are that the app has grown heavy compared with its original simplicity, and that pushing users toward cloud accounts and syncing concerns some developers who prefer local-only tools. Alternatives include Insomnia, a lighter API client from Kong; Bruno, an open-source client that stores collections as files in Git; Hoppscotch, open source and web-based; Thunder Client inside VS Code; Paw (RapidAPI) for Mac; Stoplight for API design; and curl or HTTPie for the command line. Choose Postman when you want a full-featured, collaborative platform for working with APIs across a team.

Sentry

Error monitoring and performance tracing for developers

Sentry is an application monitoring platform that captures errors, traces, logs, session replays, and performance data from production software, and tells you which line of code caused a given user-facing failure rather than just that a failure occurred. The core job is turning an anonymous production incident into a fixable ticket. When something breaks, Sentry captures the stack trace, the release it happened on, the commit that introduced it, the browser or runtime, the breadcrumb trail of events leading up to it, and how many users it affected. That last number is what makes it a prioritisation tool rather than a log dump: an error hitting 4,000 users and an error hitting one intern get sorted correctly without anyone reading a log file. The Developer tier is free and aimed at solo developers on small projects. It includes one user account, error monitoring and tracing, email alerts, 10 custom dashboards, MCP access, 5,000 errors per month, 5GB of logs, 5GB of application metrics, 5 million spans for tracing, 50 session replays, 1 uptime monitor, 1 cron monitor, and 30-day data retention. Paid tiers, billed annually, are Team at $26/month and Business at $80/month, with Enterprise custom-quoted. Above the included allowances, capacity is usage-priced: logs and metrics at $0.50/GB, UI profiling at $0.25/hour, continuous profiling at $0.0315/hour, additional uptime alerts at $1.00 each, and additional cron monitors at $0.78 each. Because a single bad deploy can generate an enormous error volume, the spend controls matter as much as the rates: you can set a maximum spend threshold and receive notifications as you approach it, and you should configure both before you need them. Who it is for: any team shipping software to real users, from a solo founder on the free tier to a large engineering organisation. It is close to a default in the JavaScript, Python, Ruby, and mobile ecosystems, with mature SDKs across roughly every language you are likely to be using. How it compares: Datadog covers far more infrastructure and is the better choice when you need host, container, and network observability alongside application errors, at substantially higher cost and complexity. New Relic is similarly broad. Rollbar and Bugsnag are direct error-tracking competitors with narrower scope. LogRocket leads on session replay specifically. PostHog now bundles error tracking with product analytics, which is appealing if you want fewer vendors and are not error-monitoring-first. Sentry's advantage is depth on the specific question of what broke and who it hurt, plus the best free tier in the category; its limitation is that it monitors your application rather than your infrastructure. Install it on day one of a project, not after the first outage.