Google offers the Firebase suite of application development tools, available free or at cost for higher degree of usages, priced flexibly accorded to features needed. The suite includes A/B testing and Crashlytics, Cloud Messaging (FCM) and in-app messaging, cloud storage and NoSQL storage (Cloud Firestore and Firestore Realtime Database), and other features supporting developers with flexible mobile application development.
$0.01
Per Verification
TestMu AI
Score 8.9 out of 10
Mid-Size Companies (51-1,000 employees)
TestMu AI (Formerly LambdaTest) is a Full-Stack Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality. The platform enables testing of web, mobile, and enterprise applications at any scale across real devices, real browsers, and custom real-world environments.
$19
per month per user
Pricing
Firebase
TestMu AI
Editions & Modules
Phone Authentication
$0.01
Per Verification
Stored Data
$0.18
Per GiB
Virtual Live
$19
per month Parallel Test
Real Device Plus Live
$49
per month 1 parallel test
Test Manager
$59
per month per seat
Web Automation on Desktop
$99
per month Parallel Test
Virtual Automation Cloud
$159
per month Parallel Test
HyperExecute Cloud (Multi OS)
$199
per month Parallel Test
Real Device + Automation Cloud
$249
per month Parallel Test
SmartUI Visual Regression
$269
per month Parallel Test
Kane AI (Mobile + Web)
$349
per month Parallel Test
Enterprise
Custom Pricing
Parallel Test
HyperExecute On-Premise
Custom Pricing
per parallel test
Offerings
Pricing Offerings
Firebase
TestMu AI
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Discount available for annual pricing.
More Pricing Information
Community Pulse
Firebase
TestMu AI
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Firebase
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TestMu AI
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We have been using Samsung Test Lab whcih was free since we using it from 2019. but its only limited to samsung devices.
Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.
Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.
One day, I needed to test a specific issue that was occurring only on Pixel phones. I turned to LambdaTest, quickly identified the problem, and was able to fix it. There hasn't been a situation where I felt LambdaTest didn't help, it's my go-to solution for testing, as it solves many problems.
Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).
Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
City-specific data instead of just country-specific data would have been a huge plus as well.
The reason i have given the 10 points becasue the problem LambdaTest solves is providing access to all devices in one place, allowing developers to identify the same errors they would encounter on real devices. This makes life much easier, especially for developers who regularly face cross-device functionality issues. It's a big plus point that positions LambdaTest as an all-in-one solution.
I don't use the Firebase UI much, but rather connect it to GA4. GA4 has a great event model but the GA4 UI and analysis capabilities are limited. It's harder to measure product usage type of engagement but if you have the time and resources to leverage the GA4 to BiqQuery export you'll have all the raw event data you'll need for deep analysis, segmentation, and audience activation.
Because of the ease of use of the platform, we just save a lot of time and effort with this as its a feature rich solution, we just need to upload app binary once and for everytime we need to test on a different device we can just directly install that binary on the device without the pain of reupload.
Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.
The customer support team is very active and cooperative. Once, I contacted them in their off timings because of an issue, I got an instant reply from the executive and he resolved the issue very efficiently. This is why we have been using LambdaTest for more than two years. It is best suited for us.
Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.
While BrowserStack is also a well-established platform, we found LambdaTest to offer similar and even better features at reasonable pricing. LambdaTest is more cost-effective than BrowserStack. LambdaTest provides a free forever plan, while BrowserStack does not. Even manual testing plans are better priced than BrowserStack’s. In terms of UI and onboarding, we found LambdaTest more user-friendly as well.
Makes building real-time interfaces easy to do at scale with no backend involvement.
Very low pricing for small companies and green-fields projects.
Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.
