Countly

If your analytics platform were compromised tomorrow, what could it reach? As analytics becomes more connected, more intelligent, and more embedded in the business, teams need to think carefully about where data lives, how access is governed, and where the trust boundary sits. Here are 5 questions to start with.

You've seen the architecture. Here's the part that matters for your team: what it does on your scale, your deployment model, your compliance requirements. Book a tailored walkthrough — real-time analytics, profiles, and cohorts, plus straight answers on data residency and enterprise support. https://countly.com/demo

Cloud analytics promised speed, scale, and simplicity. For most teams, that's the whole story. For enterprises in finance, healthcare, and telco, there's a line in the contract nobody reads out loud: your customers' behavioral data now lives in a vendor's environment, under their jurisdiction, on their terms. That's the hidden cost. And for a growing number of regulated organizations, it's no longer one they're willing to pay. Countly 26.01 was built for exactly this: modern analytics performance, with customer data that never leaves your infrastructure. Speed and control aren't a tradeoff anymore. Learn more about our new architecture here: https://lnkd.in/d-HM9K4W #dataprivacy #compliance #analytics #datagovernance

The world's most demanding enterprises don't compromise on data control. Neither do we. Here's why teams at some of the largest regulated organizations run Countly.

The speed of cloud analytics. The control of self-hosting. For years, enterprises have been forced to choose: the performance of cloud analytics, or keeping customer data inside their own environment. Countly 26.01 is our answer to that false tradeoff. A new analytics engine built to analyze millions of users, power real-time personalization, and run AI-driven experiences — while behavioral data stays in your infrastructure. → Up to 100M monthly active users → Self-hosted or private cloud → GDPR, HIPAA, SOC 2, CCPA-ready by design Learn more about the new architecture here: https://lnkd.in/d-HM9K4W #analytics #dataprivacy #enterprise #selfhosted

If you ship apps on Huawei devices in China — and increasingly you have to — you've probably noticed something: most international product analytics platforms quietly skipped HarmonyOS. Mixpanel, Amplitude, Firebase, PostHog, Heap — none of them currently offer a native HarmonyOS SDK. Your options have effectively been Huawei Analytics Kit (locked into AppGallery Connect, data sits with Huawei) or domestic SaaS vendors like Sensors Data and GrowingIO. Today we're adding a real third option. Countly v26.1.0 for HarmonyOS is live on GitHub. It ships at near-parity with our Android SDK from day one: → Events, views, sessions → Crash reporting → User profiles → Consent management → Device ID, location → Remote Config → SDK Behavior Settings → Crash analytics Why this matters for teams shipping apps in China: 1️⃣ Self-hosted or private cloud. Run Countly on your own infrastructure inside China. Your HarmonyOS event data never leaves your servers. No third-party SaaS pipeline, no AppGallery Connect dependency, no cross-border data transfer concerns under PIPL. 2️⃣ One platform across Android, iOS, Web, and HarmonyOS. Same event taxonomy, same dashboards, same SDK API surface. No fragmented stack, no separate vendor just for HarmonyOS. 3️⃣ Product analytics + engagement in one place. Not just events and funnels — also crashes, user profiles, remote config, and (in upcoming releases) the rest of the Countly engagement layer. HarmonyOS is now China's #2 mobile OS, with 55M+ native devices and ~17% share. The teams who'll get ahead are the ones treating it as a first-class platform — not an afterthought. If you're a HarmonyOS developer or a data team responsible for understanding how Huawei-device users actually behave in your product, this is for you. Check the SDK: https://lnkd.in/d_ie-BXW See our Docs: https://lnkd.in/dBNGvThM #HarmonyOS #ProductAnalytics #MobileAnalytics #Huawei #DataPrivacy #OpenSource #Countly