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Firebase Performance

Apps using Firebase Performance

Download a list of all 62K Firebase Performance customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
13M Viber Media SARL. *****@viber.com - http://www.viber.com/
7M TextNow, Inc. *****@textnow.com
linkedin facebook twitter instagram
http://www.textnow.com/
4M Tantan Cultural Development (Beijing) Co., Ltd. *****@hellogroup.com - https://tantanapp.com/
3M Lithium Lab Pte Ltd *****@appewa.com - https://www.appewa.com/
3M Medialab - Kik - - http://www.kik.com/
2M OkCupid -
linkedin
http://www.okcupid.com/
2M WEVERSE COMPANY Inc. *****@kiswe.com
twitter instagram
https://weverse.co/
2M 杭州网易云音乐科技有限公司 *****@service.netease.com - https://crush.163.com/
2M TALKATONE, INC. *****@gdprav.com - https://www.talkatone.com/
2M Danggeun Market Inc. *****@karrotmarket.com
facebook instagram
https://www.daangn.com/

Full list contains 62K apps using Firebase Performance in the U.S, of which 55K are currently active and 22K have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Firebase Performance?

Firebase Performance is a powerful mobile app performance monitoring tool offered by Google as part of the Firebase suite of services. This robust SDK enables developers to gain deep insights into their app's performance, helping them identify and resolve issues that may impact user experience. With Firebase Performance, developers can track key metrics such as app start time, network requests, and custom traces, allowing for a comprehensive understanding of how their app performs in real-world conditions. One of the standout features of Firebase Performance is its ability to automatically capture performance data without requiring extensive code changes. This means developers can quickly integrate the SDK into their existing projects and start gathering valuable insights almost immediately. The tool provides real-time monitoring capabilities, allowing teams to detect and respond to performance issues as they occur, rather than relying on user reports or periodic manual checks. Firebase Performance offers a user-friendly dashboard that presents performance data in an easy-to-understand format. Developers can view detailed charts and graphs that illustrate various performance metrics over time, making it simple to identify trends and potential areas for improvement. The SDK also provides the ability to segment data based on factors such as device type, operating system version, and geographical location, enabling developers to pinpoint performance issues that may be specific to certain user groups or environments. Another key advantage of Firebase Performance is its seamless integration with other Firebase services. For example, developers can use Firebase Crashlytics in conjunction with Performance to correlate performance issues with app crashes, providing a more complete picture of app stability and user experience. Additionally, Firebase Performance works well with Firebase Remote Config, allowing developers to dynamically adjust app settings based on performance data without requiring app updates. The SDK supports both iOS and Android platforms, making it an excellent choice for cross-platform development teams. It also offers support for web applications, enabling developers to monitor performance across multiple platforms using a single tool. Firebase Performance provides low-overhead instrumentation, ensuring that the SDK itself doesn't significantly impact app performance while gathering data. For developers looking to optimize their app's performance, Firebase Performance offers automated performance issue detection. This feature uses machine learning algorithms to analyze performance data and identify potential bottlenecks or areas of concern. The SDK can then provide actionable recommendations for improving app performance, saving developers time and effort in diagnosing and resolving issues. Firebase Performance also includes support for custom traces and metrics, allowing developers to track performance data that is specific to their app's unique features and functionality. This level of customization ensures that teams can gather the most relevant and valuable performance insights for their particular use case.

Firebase Performance Key Features

  • Firebase Performance Monitoring is a powerful tool that helps developers understand and optimize the performance of their mobile and web applications.
  • It provides real-time insights into app performance metrics, allowing developers to identify and address issues quickly.
  • The SDK automatically captures and reports key performance data, including app start time, HTTP/S network requests, and custom traces.
  • Firebase Performance Monitoring offers a user-friendly dashboard that displays performance data in easy-to-understand charts and graphs.
  • Developers can set up custom traces to measure specific parts of their application, such as critical user journeys or resource-intensive operations.
  • The SDK supports both iOS and Android platforms, making it easy to implement performance monitoring across different mobile ecosystems.
  • Firebase Performance Monitoring integrates seamlessly with other Firebase services, providing a comprehensive suite of tools for app development and management.
  • It offers detailed network request insights, including response times, success rates, and payload sizes, helping developers optimize network-related performance.
  • The SDK provides automatic HTTP/S instrumentation, capturing performance data for network requests without requiring manual configuration.
  • Firebase Performance Monitoring allows developers to segment performance data by app version, country, device, and other attributes for more targeted analysis.
  • It offers real-time alerting capabilities, notifying developers when performance metrics exceed predefined thresholds.
  • The SDK supports A/B testing integration, enabling developers to measure the performance impact of different app variants.
  • Firebase Performance Monitoring provides insights into app start time, helping developers identify and address slow app launches.
  • It offers screen rendering performance metrics, allowing developers to optimize the user interface and improve overall app responsiveness.
  • The SDK supports custom attribute logging, enabling developers to associate performance data with specific user segments or behaviors.
  • Firebase Performance Monitoring provides historical performance data, allowing developers to track trends and improvements over time.
  • It offers integration with Firebase Crashlytics, helping developers correlate performance issues with app stability and crash reports.
  • The SDK supports performance monitoring for both foreground and background app usage, providing a comprehensive view of app behavior.
  • Firebase Performance Monitoring offers low overhead, minimizing the impact on app performance while collecting valuable metrics.
  • It provides support for web applications, allowing developers to monitor and optimize performance across both mobile and web platforms.
  • The SDK offers easy-to-use APIs for instrumenting custom traces and logging performance-related events in the application code.
  • Firebase Performance Monitoring supports performance monitoring for app extensions and custom app targets on iOS platforms.
  • It provides insights into app freeze and ANR (Application Not Responding) events, helping developers identify and resolve responsiveness issues.
  • The SDK offers performance monitoring for Firebase Cloud Functions, enabling developers to optimize serverless code execution.
  • Firebase Performance Monitoring supports performance data export to BigQuery, allowing for advanced analysis and integration with other data sources.

Firebase Performance Use Cases

  • Firebase Performance Monitoring can be used to track and analyze app performance metrics, helping developers identify bottlenecks and optimize user experience. For example, developers can monitor app start time, network requests, and custom traces to pinpoint areas that need improvement.
  • E-commerce apps can leverage Firebase Performance to monitor the loading time of product pages, checkout processes, and payment gateways. By identifying slow-loading elements, developers can optimize these critical user journeys to reduce cart abandonment and increase conversions.
  • Mobile game developers can use Firebase Performance to track frame rates, asset loading times, and level transitions. This data can help optimize game performance, ensuring smooth gameplay across different devices and network conditions.
  • News and media apps can utilize Firebase Performance to monitor content loading times, video playback performance, and ad rendering. By optimizing these aspects, developers can enhance user engagement and reduce bounce rates.
  • Social media apps can employ Firebase Performance to track the speed of feed loading, image uploads, and real-time messaging. This information can be used to improve app responsiveness and user satisfaction.
  • Enterprise apps can benefit from Firebase Performance by monitoring the performance of critical business processes, such as data synchronization, report generation, and file uploads. This helps ensure that employees can work efficiently without being hindered by slow app performance.
  • IoT applications can use Firebase Performance to monitor the communication between mobile apps and connected devices. By tracking response times and data transfer rates, developers can optimize the user experience for smart home, wearable, and industrial IoT solutions.
  • Fitness and health apps can leverage Firebase Performance to monitor the accuracy and speed of data processing for features like step counting, heart rate monitoring, and workout tracking. This ensures that users receive timely and accurate information about their health and fitness activities.
  • Travel and navigation apps can use Firebase Performance to track the loading times of maps, route calculations, and location-based services. By optimizing these performance metrics, developers can provide a smoother and more reliable navigation experience for users.
  • Educational apps can employ Firebase Performance to monitor the loading times of course materials, video lectures, and interactive quizzes. This helps ensure that students can access learning resources quickly and efficiently, enhancing the overall learning experience.
  • Finance and banking apps can utilize Firebase Performance to track the speed and reliability of transactions, account balance updates, and investment portfolio calculations. By optimizing these critical functions, developers can build trust and improve user satisfaction in handling sensitive financial data.
  • Music streaming apps can use Firebase Performance to monitor audio playback performance, playlist loading times, and offline sync processes. This helps ensure a seamless listening experience for users, even in challenging network conditions.
  • Food delivery apps can leverage Firebase Performance to track the responsiveness of restaurant searches, menu loading times, and order placement processes. By optimizing these aspects, developers can improve user satisfaction and increase the likelihood of completed orders.
  • Weather apps can employ Firebase Performance to monitor the speed of weather data updates, radar map loading times, and push notification delivery. This ensures that users receive timely and accurate weather information, which is crucial for planning daily activities.
  • Productivity apps can use Firebase Performance to track the synchronization of tasks, notes, and documents across devices. By optimizing these processes, developers can ensure that users can seamlessly switch between devices without experiencing delays or data inconsistencies.
  • Augmented reality apps can leverage Firebase Performance to monitor the speed and accuracy of object recognition, 3D rendering, and camera feed processing. This helps developers create more responsive and immersive AR experiences for users.
  • Dating apps can utilize Firebase Performance to track the loading times of user profiles, messaging performance, and match suggestions. By optimizing these features, developers can enhance user engagement and increase the chances of successful connections.
  • Language learning apps can use Firebase Performance to monitor the loading times of lesson content, audio playback performance, and speech recognition accuracy. This helps create a smoother learning experience for users, encouraging continued engagement with the app.
  • Ride-sharing apps can employ Firebase Performance to track the responsiveness of driver matching, route calculations, and real-time location updates. By optimizing these aspects, developers can improve the reliability and efficiency of the service, leading to better user satisfaction.
  • Fitness tracking apps can leverage Firebase Performance to monitor the accuracy and speed of data synchronization between wearable devices and smartphones. This ensures that users have access to up-to-date fitness information and can track their progress in real-time.

Alternatives to Firebase Performance

  • New Relic is a comprehensive application performance monitoring (APM) platform that offers real-time insights into mobile and web applications. It provides detailed performance metrics, error tracking, and user experience analytics, allowing developers to identify and resolve issues quickly. New Relic's SDK integrates seamlessly with various programming languages and frameworks, making it a versatile choice for monitoring application performance across different platforms.
  • AppDynamics, now part of Cisco, is a powerful APM solution that offers end-to-end visibility into application performance. It provides real-time monitoring, diagnostics, and analytics for mobile and web applications. AppDynamics uses machine learning to detect anomalies and automate root cause analysis, helping developers quickly identify and resolve performance issues. The platform also offers business impact analysis, linking application performance to key business metrics.
  • Dynatrace is an AI-powered APM platform that provides full-stack monitoring for cloud-native and hybrid applications. It offers automatic discovery and mapping of application dependencies, real-time performance monitoring, and advanced analytics. Dynatrace's OneAgent technology simplifies instrumentation and data collection, while its AI engine, Davis, automates problem detection and root cause analysis. The platform also provides user experience monitoring and digital business analytics.
  • Datadog is a cloud-based monitoring and analytics platform that offers comprehensive APM capabilities. It provides real-time visibility into application performance, infrastructure metrics, and log data. Datadog's APM solution offers distributed tracing, error tracking, and performance profiling across multiple languages and frameworks. The platform's unified dashboard allows developers to correlate performance data with infrastructure metrics and logs, enabling faster troubleshooting and optimization.
  • Instana is an APM solution designed for modern, cloud-native applications. It offers automatic discovery and mapping of application components, real-time performance monitoring, and AI-powered problem detection. Instana's continuous automation approach simplifies the monitoring process, allowing developers to focus on optimizing application performance. The platform provides detailed insights into microservices, containers, and serverless functions, making it well-suited for complex, distributed applications.
  • AppOptics, part of SolarWinds, is a comprehensive APM and infrastructure monitoring solution. It offers distributed tracing, exception tracking, and custom metrics for application performance monitoring. AppOptics provides detailed transaction traces and performance breakdowns, allowing developers to identify bottlenecks and optimize code. The platform also offers infrastructure monitoring capabilities, enabling teams to correlate application performance with underlying infrastructure metrics.
  • Raygun is an APM and error tracking platform that focuses on providing detailed insights into application crashes and performance issues. It offers real-time error monitoring, crash reporting, and performance profiling for mobile and web applications. Raygun's SDK integrates easily with various programming languages and frameworks, allowing developers to quickly identify and resolve issues affecting user experience. The platform also provides user session tracking and impact analysis, helping teams prioritize critical issues.
  • Elastic APM, part of the Elastic Stack, is an open-source application performance monitoring solution. It offers distributed tracing, error tracking, and performance metrics collection for applications built on various programming languages and frameworks. Elastic APM integrates seamlessly with other Elastic Stack components, such as Elasticsearch and Kibana, providing powerful search and visualization capabilities for performance data. The platform's open-source nature allows for extensive customization and integration with existing tools and workflows.
  • Sentry is an error monitoring and performance tracking platform that focuses on providing detailed insights into application errors and crashes. It offers real-time error tracking, release tracking, and performance monitoring for mobile and web applications. Sentry's SDK integrates easily with various programming languages and frameworks, allowing developers to quickly identify and resolve issues affecting user experience. The platform also provides detailed stack traces and user context information, enabling faster debugging and issue resolution.
  • AppSignal is an APM solution designed specifically for Ruby, Elixir, and JavaScript applications. It offers performance monitoring, error tracking, and host metrics in a single platform. AppSignal provides detailed performance breakdowns, anomaly detection, and custom dashboards for visualizing application metrics. The platform's focus on specific languages allows for deeper integration and more tailored insights, making it a popular choice among Ruby and Elixir developers.

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