Best Mobile Application Performance Monitoring (APM) Software

Datadog is a cloud based observability and security platform that unifies infrastructure monitoring, application performance monitoring (APM), log management, real user monitoring, and security monitoring in a single product. It correlates metrics, traces, and logs so engineering teams can pivot between them to investigate issues down to the code level, and it offers more than 1,000 integrations with cloud providers and other tools.

Datadog's pricing is modular and usage based, with each product billed separately, such as per host for infrastructure and APM, or per GB and per million events for log management. A limited free tier covers up to 5 hosts with 1-day retention. Datadog also offers AI powered features including anomaly detection and autonomous investigation agents.

Embrace is an observability platform focused on mobile and web user sessions, capturing crashes, ANRs (application not responding events), network issues, and performance metrics with automatic instrumentation. It offers detailed ANR detection that captures stack traces starting at just one second of main thread blockage, along with session replay, user journey visualization, and network performance analysis, all built on OpenTelemetry as the underlying data standard.

The platform ties technical performance data to end-user impact so engineering teams can prioritize issues by how many real users were affected. Embrace offers a generous free tier for smaller teams and usage-based Pro pricing for larger session volumes, making it suited to mobile-first product teams at startups through larger enterprises.

Raygun is a software intelligence platform providing crash reporting, application performance monitoring (APM), and real user monitoring (RUM) for web and mobile applications. It gives developers line-of-code diagnostics for crashes, transaction tracing and slow query detection for backend performance, and session-level insights including Core Web Vitals for frontend user experience.

Raygun sells each module (Crash Reporting, APM, RUM) separately with usage-based pricing tied to a bundle of included events, sessions or traces per plan. Plans range from Basic through Team and Business up to custom Enterprise, with higher tiers adding SAML SSO, dedicated account managers, and priority support. On-demand overage pricing and reserved event purchases are available for teams that exceed their plan's bundle.

Sentry is an application performance monitoring and error tracking platform used by developers to catch, group, and diagnose issues in production code. It captures stack traces, breadcrumbs, and contextual data for every error, automatically groups repeat occurrences into a single issue, and traces requests across services to pinpoint slow or failing code paths.

Sentry supports web, mobile, and backend applications through language specific SDKs, and integrates with tools like Slack, GitHub, Jira, and PagerDuty for alerting and workflow automation. Pricing is usage based around error and span volume, with a free Developer plan, paid Team and Business tiers, and custom Enterprise plans for larger organizations with advanced compliance needs.

Firebase is Google's application development platform, providing a suite of backend services for building web and mobile apps. It includes Cloud Firestore and Realtime Database for data storage, Firebase Authentication for user sign-in, Cloud Storage for files, Cloud Functions for serverless backend code, and Firebase Hosting for static and dynamic web content. Firebase AI Logic adds direct access to Gemini models for building AI-powered features.

Firebase serves individual developers, startups, and enterprises building web and mobile applications. It uses a two-tier pricing model: the no-cost Spark plan and the pay-as-you-go Blaze plan, which retains all Spark quotas and adds usage-based billing plus access to more services. Firebase integrates tightly with Google Cloud Platform and Android and iOS tooling, and is one of the most widely used backend-as-a-service platforms.

New Relic is a cloud based observability platform that unifies infrastructure monitoring, application performance monitoring, error tracking, log management, and distributed tracing in a single dashboard. All telemetry data is stored in a proprietary database called NRDB and queried with NRQL, a SQL like language built for observability data. The platform serves engineering teams that need to correlate metrics, events, logs, and traces to find the root cause of production issues quickly.

New Relic offers a permanent free tier with 100GB of monthly data ingest and one full platform user, alongside paid Standard, Pro, and Enterprise editions priced per user with additional data charged per gigabyte. Over 800 pre built integrations connect New Relic to popular cloud providers, container platforms, and alerting tools, and an AI powered engine helps predict and diagnose issues before they affect customers.

Bugfender is a remote logging platform that captures logs, crashes, and user feedback from every device running an app, even when issues do not cause a crash. Logs continue to be collected while a device is offline and sync once connectivity returns, and the web console organizes logs by session, device, and app version so developers can reproduce and diagnose bugs from real user devices rather than relying only on local testing.

SDKs are available for iOS, Android, React Native, React, and Angular, with installation taking a few minutes. Bugfender moved to monthly usage-based plans in late 2025, offering a free tier for small teams and paid tiers with longer retention, log archiving, and enterprise features like SSO and SLAs for larger organizations.

Bugsnag is a stability and error monitoring platform owned by SmartBear, now officially rebranded as SmartBear Insight Hub while still operating at the bugsnag.com domain. It automatically captures errors and crashes across more than 50 platforms, groups them by root cause, and prioritizes issues by severity and business impact using stack traces, breadcrumbs, and device or user context.

Beyond error monitoring, the platform has expanded into real user monitoring, backend performance monitoring, and distributed tracing for full-stack observability. Paid Select and Preferred tiers scale with monthly error events and performance spans, adding features like automatic error assignment, feature flags, SSO provisioning, and both SaaS and on-premises deployment options for larger teams.