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CloudController VS Measure.sh

Compare CloudController VS Measure.sh and see what are their differences

CloudController

We deliver an innovative Cloud Management Platform to fully automate deployment and the business processes of private, public and hybrid/multi-clouds

Rating
0 reviews
Alternatives Is it good?
Measure.sh

Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial $25 / Monthly (25GB of log/metric/ traces/session replay)
Alternatives Is it good?
Modelence
Create production-ready applications with zero code sponsored

Which is more popular?

Online Services popularity
100% vs 0%
alternatives listed
64 vs 9

Base details

Website, pricing, platforms and company facts side by side.

CloudController
Measure.sh
Website incontinuum.com measure.sh
Pricing —
Open source Freemium Free trial $25 / Monthly (25GB of log/metric/ traces/session replay) Official pricing
Platforms —
React Native Android iOS Flutter Kotlin Multiplatform +2
Company — Startup from the United States · 1 - 9 employees · 2024
Listed in
Monitoring Tools Backup & Sync Online Services Log Management +1
Observability APM Error Monitoring Mobile Analytics Bug Reporting User Monitoring Monitoring Tools Developer Tools Error Tracking Exception Monitoring Crash Reporting +8

About CloudController and Measure.sh

In their own words, as submitted to SaaSHub.

CloudController
Measure.sh

No description of CloudController yet.

Measure is an open source mobile observability platform built for production debugging. It helps mobile teams find and fix crashes, ANRs, UI freezes, slow API chains and edge-case state bugs, the failures that crash reporters never show you. Most crash tools tell you that an app broke. Measure...

Read more about Measure.sh

Features and specs

What each product offers, as listed by its team.

CloudController 5 features
Measure.sh 8 features
  • Scalability
    CloudController offers dynamic scalability, allowing businesses to easily adjust their cloud resources based on demand.
  • Cost Efficiency
    The platform facilitates cost management by optimizing resource allocation and reducing unnecessary spending on cloud services.
  • Automation
    CloudController automates many routine cloud management tasks, reducing the need for manual intervention and increasing operational efficiency.
  • Multi-cloud Support
    It provides support for multiple cloud platforms, enabling businesses to manage resources across different cloud environments from a single interface.
  • Enhanced Security
    The platform includes robust security features to protect data and applications, ensuring compliance with industry standards.

Possible disadvantages

  • Complexity
    Due to its range of features, CloudController can be complex to set up and manage, particularly for users unfamiliar with cloud technologies.
  • Cost
    While it offers cost-saving features, the initial investment in CloudController can be high, which might be a barrier for small businesses.
  • Learning Curve
    The platform may have a steep learning curve for users who are new to cloud management tools, requiring additional training or onboarding time.
  • Dependency on Internet Connectivity
    Operating CloudController relies heavily on a stable internet connection, which could be a limitation in areas with poor connectivity.
  • Vendor Lock-in
    Although it supports multiple clouds, there might be a risk of vendor lock-in due to the dependency on specific features unique to CloudController.
  • Crash Reporting
    Crashes and ANRs with symbolicated stacktraces, grouping and version impact
  • Session Replay
    Session Timeline replays every user action, screen, network call, log and system metric
  • Performance Monitoring
    Traces, app launch times, network latency and app health metrics per release
  • Bug Reporting
    Shake the device to file a bug, attached to the full session that led to it
  • Network Monitoring
    Request latency, status codes and failing endpoints, tied to the session
  • User Journeys
    See how users move between screens and where they drop off
  • AI Debugging
    Measure Agent plus an MCP server so coding agents can read production sessions
  • Adaptive Capture
    Dial data collection up or down remotely, without shipping a new release

Analysis

An editorial look at what each product does well and who it suits.

CloudController
Measure.sh

Overall verdict

  • Yes, CloudController by InContinuum is considered a good cloud management platform.

Why this product is good

  • CloudController offers robust cloud management features such as automated deployment, cost management, and multi-cloud governance. It stands out for its flexibility and support for various cloud providers like AWS, Microsoft Azure, and Google Cloud, making it a versatile choice for businesses. The platform's intuitive interface and advanced automation capabilities help enhance operational efficiency.

Recommended for

    CloudController is recommended for IT departments and companies seeking to optimize and manage their multi-cloud environments efficiently. It is particularly beneficial for enterprises looking to streamline cloud operations, reduce costs, and maintain governance across different cloud services.

No analysis of Measure.sh yet.

Videos

Walkthroughs and reviews on video.

CloudController 0 videos + Add
Measure.sh 1 video + Add

No CloudController videos yet. You could help us improve this page by suggesting one.

Measure.sh: open source crash and performance monitoring for mobile apps (demo)

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
CloudController
Measure.sh
100% 100%
Online Services
0% 0%
0% 0%
User Monitoring
100% 100%
100% 100%
Backup & Sync
0% 0%
0% 0%
Mobile Analytics
100% 100%

Questions & Answers

As answered by people managing CloudController and Measure.sh.

Who are some of the biggest customers of your product?

Measure.sh's answer:

Porsche, Astro, Hoichoi

What's the story behind your product?

Measure.sh's answer:

Measure grew out of a problem its founders kept running into. Between them they had led mobile engineering at companies including Gojek, Rapido and Groww, including the years when Gojek's app scaled from around 10,000 to 35 million daily active users. At each company they ended up building similar internal tooling to answer the same question: why is the app slow, frozen or broken for a real user in production when crash reporting shows nothing wrong? After rebuilding versions of the same tool more than once, they decided to apply the DRY principle to the problem itself and turn it into a product instead of another internal project. Measure was released publicly in September 2024 and is developed in the open under the Apache 2.0 license, with the roadmap and issues visible on GitHub.

How would you describe the primary audience of your product?

Measure.sh's answer:

Mobile engineering teams running consumer apps in production, especially at high growth companies where app quality has a direct effect on revenue and retention. Typical users are Android and iOS engineers, mobile platform and foundation teams, mobile leads and engineering managers who are accountable for crash free rates, ANRs, startup time and release health, along with the CTOs and VPs of Engineering who own those outcomes. Because Measure is open source and can be self hosted, it also fits teams with strict data residency or privacy requirements, and smaller teams looking for an open alternative to Firebase Crashlytics.

What makes your product unique?

Measure.sh's answer:

Measure.sh is an open source observability platform built specifically for mobile apps, rather than a mobile SDK attached to a backend monitoring product. Its defining capability is the session timeline, which reconstructs a complete user session including interactions, navigations, network calls, logs, lifecycle events and CPU and memory signals. This allows teams to diagnose problems that never produce a crash, such as ANRs, UI freezes, slow API chains and edge case state bugs. Measure also provides Adaptive Capture, which lets teams change what data is collected remotely without shipping an app update, and an MCP server that exposes crashes, traces and sessions to coding agents. It is available as a managed cloud service or fully self hosted, and is licensed under Apache 2.0.

Why should a person choose your product over its competitors?

Measure.sh's answer:

  • Mobile first by design. Measure is built by mobile engineers for mobile teams, not adapted from a web or backend APM tool.
  • Full session context. Session replays and timelines show the user actions, navigations, network calls and logs that led to an issue, not just a stack trace.
  • Coverage beyond crashes. Crashes, ANRs, performance traces, network performance, bug reports, user journeys and app health metrics live in a single dashboard.
  • Open source and self hostable. Apache 2.0 licensed, so teams can keep all app and user data inside their own infrastructure.
  • Cost control. Per GB pricing combined with Adaptive Capture, which lets teams increase data collection during a risky release and reduce it afterwards without shipping an app update.
  • Broad platform support. Android, iOS, Flutter, React Native and Kotlin Multiplatform.
  • Agent ready. An MCP server exposes errors, traces and session data to coding agents and Slack for natural language debugging.

Which are the primary technologies used for building your product?

Measure.sh's answer:

  • Backend services: Go
  • Dashboard: TypeScript, React and Next.js
  • Data stores: ClickHouse for events, sessions and traces, PostgreSQL for application data
  • Streaming and caching: Apache Iggy and Valkey
  • Object storage: S3 compatible storage, with MinIO used in self hosted deployments
  • Symbolication: Symbolicator for native and mobile stack traces
  • SDKs: Kotlin for Android, Swift for iOS, Dart for Flutter, and TypeScript for React Native, plus Kotlin Multiplatform support
  • Deployment: Docker and Docker Compose for self hosting
  • License: Apache 2.0, with the full source available on GitHub at github.com/measure-sh/measure

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

CloudController no reviews yet
Measure.sh 5.0 · 1 review

We have no reviews of CloudController yet. Be the first one to post

  • Modern and AI native tooling for observability of mobile apps
    SaaSHub review
    · Sep 2026

    If you're looking for a modern and AI native tool for observability of mobile apps, then measure.sh is the right choice for the job It has a lot of innovative tools and a very nice dashboard for the same "Session...

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