Countly vs JustAnalytics: Privacy-First Product Metrics Compared

Last month I helped a fintech startup audit their analytics stack. They'd been running Countly self-hosted for two years — the team loved the data ownership angle. Privacy-first. No third-party data transfers. GDPR without consent banners.

Then I asked about their uptime.

Their ops lead went quiet. Like, visibly uncomfortable quiet.

Turns out the MongoDB cluster backing Countly had gone down twice in Q1. Once during a cert rotation gone wrong, once from disk pressure nobody noticed until 3am. Each outage meant no analytics ingestion for hours. The on-call engineer spent her weekend debugging replica set elections instead of shipping features.

"We wanted control," she said. "We got ops burden."

I've made this exact mistake myself — choosing the "control" option without doing the ops math first. Felt smart for about three months. That conversation stuck with me. Self-hosted analytics promises sovereignty. Sovereignty costs time, money, and sanity. (Mostly sanity.) The question isn't whether Countly or JustAnalytics is "better" — it's which tradeoff fits your team.

Quick Verdict

TL;DR: Countly wins on data sovereignty and mobile-native features. JustAnalytics wins on operational simplicity and tool consolidation.

If you need full control over your analytics data — it lives on your servers, behind your firewall, zero vendor access — Countly's self-hosted Enterprise tier delivers that. Mobile-first teams also get push notifications, remote config, and A/B testing baked in. For regulated industries where data residency is non-negotiable (healthcare, certain fintech, government contractors), Countly's self-hosted story is compelling.

If you want analytics + error tracking + session replay + uptime monitoring without running infrastructure, JustAnalytics bundles all of that in one managed platform. No MongoDB to maintain. No Node.js servers to patch. One script, five tools.

The honest question: Do you have the engineering capacity to run your own analytics infrastructure? If yes, Countly gives you control. If no, JustAnalytics gives you coverage.

(And if you're not sure? You probably don't.)

Feature Comparison

Feature	JustAnalytics	Countly
Web analytics	Yes (pageviews, funnels, UTM, cohorts, attribution)	Yes (events, funnels, cohorts, retention)
Mobile analytics	Yes (iOS, Android, React Native, Flutter SDKs)	Yes (native SDKs, deep mobile focus)
Error tracking	Yes (source-mapped stacks, rage-click detection)	Yes (crash reporting for mobile)
Session replay	Yes (pixel-perfect DOM replay, privacy masking)	No
APM / distributed tracing	Yes (OpenTelemetry-native, P95/P99, service maps)	No
Uptime monitoring	Yes (HTTP checks, SSL, status pages, cron alerts)	No
Structured logs	Yes (ingestion, filtering, alerting)	No
Push notifications	No	Yes (built-in mobile push)
Remote config	No	Yes (A/B testing, feature flags)
Self-hosted option	No	Yes (Enterprise tier)
Free tier	$0/mo — 100K events, 1 site, 6mo retention	Lite — limited features, AGPL v3
Paid starting	Pro $49/mo — 1M events, 5 sites, all features	Flex $175/mo — cloud, usage-based
Enterprise self-hosted	N/A	Custom pricing (typically $15K+/year)

The shapes are different. Countly is a product analytics platform with deep mobile features and self-hosting options. JustAnalytics is an observability consolidation platform — analytics is one of five bundled tools. They overlap on web/mobile analytics but diverge everywhere else.

Where Countly Wins: Data Sovereignty and Mobile Depth

Countly's origin story is privacy. Built for teams that can't or won't send data to external vendors.

True self-hosted deployment. Enterprise tier runs entirely on your infrastructure. MongoDB, Node.js, Nginx — all yours. Countly's servers never touch your data. For healthcare apps bound by HIPAA, fintech under SOC 2 Type II, or European teams paranoid about Schrems III (honestly, they should be), this matters. We've covered the EU data transfer landscape in depth — Countly's self-hosted model sidesteps the whole mess.

Mobile-native feature set. Push notifications integrated with analytics. Remote config for A/B tests without app store releases. Crash reporting tuned for iOS and Android stack traces. If your product is a mobile app first, Countly built specifically for you. Their SDK initialization is mobile-first; web is the afterthought, not the other way around.

Product analytics depth. Funnels, cohorts, retention curves, user flows — Countly covers the Mixpanel/Amplitude feature set. If your question is "what are users doing inside my app?" rather than "is my app working?", product analytics depth matters more than observability breadth. Fair enough.

Open source (Lite tier). AGPL v3 means you can inspect the code, patch it, contribute back. For some teams, that's philosophical alignment. For others, it's audit compliance — they need to prove what their analytics tool does with data. I respect the principle, even when I think the execution creates headaches.

But. (There's always a but.)

Self-hosting costs more than you think. Countly's Flex cloud starts at $175/month. Enterprise self-hosted is custom pricing — I've heard numbers from $15,000 to $50,000/year depending on scale and support. And that's before infrastructure.

Running Countly yourself means:

MongoDB replica set (3 nodes minimum for production — $200-400/month on AWS)
Node.js application servers (2 for HA — $100-200/month)
Load balancer, SSL certs, backups, monitoring for your monitoring
Security patches, version upgrades, cert rotations
On-call for when the replica set has opinions at 3am

I talked to one team running Countly on AWS. Their all-in monthly cost: ~$800 in compute/storage plus 15-20 hours of engineering time monthly for maintenance. At their engineer's fully-loaded cost, that's $4,000+/month in real dollars.

Ouch.

Self-hosting isn't free. It's a tradeoff: money for control. And honestly, a lot of teams don't realize this until they're already committed.

Where JustAnalytics Wins: Managed Observability and Consolidation

JustAnalytics takes the opposite bet. Instead of "run it yourself," the pitch is "replace five tools with one script."

No infrastructure to manage. Sign up, add the script, done. No MongoDB. No servers. No on-call for your analytics platform. When someone asks "who's on-call for Countly this weekend?", the answer with JustAnalytics is: nobody. It's our problem.

Five tools in one. Analytics (replaces GA4), error tracking (replaces Sentry basics), APM (replaces basic Datadog), session replay (replaces LogRocket), uptime (replaces Pingdom). Countly covers analytics and crash reporting — two of five. For the other three, you'd need additional vendors. Our observability consolidation guide breaks down the math. Teams building SaaS dashboards with DevOS often pair JustAnalytics for the frontend metrics.

Session replay with privacy masking. When a user reports "the checkout broke," you can watch what happened. DOM replay shows clicks, scrolls, form interactions — with PII automatically masked. Countly doesn't have replay. If your debugging workflow is "find error, watch session, understand context," that gap hurts.

OpenTelemetry-native APM. Distributed tracing across services. P95/P99 latency. Service maps. If your backend is microservices (or "distributed monolith" — we've all been there, no judgment), traces matter. Countly focuses on product analytics, not performance observability. Different problem.

Cookieless by default. GDPR and CCPA compliant without consent banners. We covered GDPR analytics after the Austrian DPA fine — the trend is clear. Cookie-based tracking is increasingly risky. Countly offers cookieless options too, but it's opt-in configuration rather than the default.

Under-5KB script. Bundle size obsession is real for frontend teams. Our script is under 5KB gzipped. Countly's web SDK is heavier — understandable given their mobile-first heritage, but it matters if you're chasing Core Web Vitals.

The Real Question: Build vs Buy for Analytics Infrastructure

This comparison isn't about features. It's about organizational capacity.

Teams with dedicated platform/ops engineering: Countly self-hosted makes sense. You're already running Kubernetes, PostgreSQL, Redis, Kafka — what's one more service? The marginal cost of maintaining MongoDB is low when you have infrastructure muscle. And you get full data ownership.

Teams without ops capacity: JustAnalytics makes sense. If "run a MongoDB cluster" isn't on your roadmap, don't add it for analytics. Your engineers should ship product, not debug replica set elections. (I say this as someone who has personally wasted entire weekends on replica set elections. Not proud of it.)

Mobile-first products with push/config needs: Countly's mobile feature depth — push notifications, remote config, A/B testing — isn't matched by JustAnalytics. If those features are critical (and they are for many mobile apps), Countly wins on surface area.

Hybrid web/mobile teams needing full-stack observability: JustAnalytics covers more ground. Analytics plus errors plus APM plus replay plus uptime. If you'd otherwise need Countly + Sentry + Datadog + Pingdom, consolidation has value. For teams running paid acquisition, VeloCalls handles outbound call tracking that pairs with JustAnalytics conversion funnels.

Pricing Breakdown (as of August 2026)

JustAnalytics:

Free: $0/mo — 1 site, 100K events/mo, 6mo retention. Analytics only.
Pro: $49/mo ($39/mo annual) — 5 sites, 1M events/mo, 1yr retention. Errors, replay, APM, uptime, logs.
Enterprise: custom — unlimited. SSO/SAML, SLA, dedicated infrastructure.
AI Command Center: $25/mo add-on (requires Pro+).

Countly:

Lite: Free — self-hosted, AGPL v3, limited features (no advanced analytics, no push, no remote config).
Flex: $175/mo — cloud hosted, usage-based, advanced analytics included.
Enterprise: custom — self-hosted, all features, dedicated CSM, SLA.

The consolidation math: If you're comparing Countly Flex ($175/mo) against JustAnalytics Pro ($49/mo), JustAnalytics is cheaper. But the comparison isn't fair — Countly doesn't include replay, APM, or uptime. Add those separately (LogRocket ~$99/mo, Pingdom ~$15/mo, basic Datadog ~$100/mo) and you're at $389/month for the multi-vendor stack versus $49/month for JustAnalytics.

If you're comparing Countly Enterprise self-hosted against JustAnalytics Pro, the math gets messier. Countly's license is custom (let's say $20,000/year = ~~$1,667/month) plus infrastructure (~~$500/month) plus engineering time (~$2,500/month at $150/hour loaded cost). Total: ~$4,667/month all-in. JustAnalytics Pro: $49/month.

But you get something for that money: zero vendor data access, full data ownership, no external dependencies. For some organizations, that's worth any price. I'm skeptical of how many teams genuinely need that level of control — but those who do, really do.

Who Should Pick What

Choose Countly if:

Data residency requirements mandate self-hosting (HIPAA, certain fintech, government)
Mobile is your primary platform and you need push notifications, remote config, A/B testing
You have dedicated ops/platform engineering capacity
You philosophically prefer open-source and data ownership

Choose JustAnalytics if:

You want analytics + errors + replay + APM + uptime in one tool
You don't want to run infrastructure for your analytics
Your team is web-first or hybrid web/mobile
You're optimizing for engineering time over data ownership

Consider both if:

You need Countly's self-hosted data sovereignty AND JustAnalytics' replay/APM
(This sounds expensive. But some regulated enterprises do run specialized analytics for compliance plus observability tools for operations.)

Our Honest Take

Countly is excellent for its use case. Privacy-first product analytics with real self-hosting options. If you're building a mobile app in a regulated industry and "no vendor data access" is a hard requirement, Countly delivers on that promise. The mobile feature depth — push, remote config, A/B testing — is mature and integrated.

But self-hosting isn't free. It's hidden costs everywhere: infrastructure, engineering time, on-call burden, opportunity cost of not shipping features. The fintech startup I mentioned at the top? They're evaluating whether "data sovereignty" is worth their best engineer spending weekends on MongoDB instead of product.

JustAnalytics doesn't offer self-hosting. We're fully managed. That's a dealbreaker for some teams — I get it, truly. But for teams without ops capacity (or teams who don't want ops capacity for analytics), managed means one less thing to maintain. One fewer 3am page.

The overlap between these tools is smaller than it looks. Countly is product analytics with self-hosting. JustAnalytics is observability consolidation with managed hosting. Pick based on which problem matters more, not which feature list is longer. Most comparison posts won't tell you this, but: the feature list usually doesn't matter as much as you think it does.

For more comparisons: AppSignal vs JustAnalytics for Ruby/Elixir teams, Pirsch comparison for privacy-focused analytics, and Site24x7 comparison for uptime monitoring. For teams running paid campaigns alongside analytics, ClickzProtect handles click fraud detection. Email-driven products can track delivery metrics with JustEmails.

Frequently Asked Questions

Is Countly really free for self-hosted deployments?

The Lite tier is free under AGPL v3, but it's limited. Advanced analytics, push notifications, remote config, and A/B testing require paid tiers. Enterprise self-hosted starts with custom pricing (typically $15,000+/year based on industry reports). Plus, you're paying for infrastructure — MongoDB, Node.js servers, backups, security patches. Most teams report $300-800/month in AWS or GCP costs before hitting scale.

Does JustAnalytics support mobile app analytics like Countly?

Yes. JustAnalytics has native SDKs for iOS, Android, React Native, and Flutter. You get event tracking, crash reporting, session replay, and user flows across web and mobile. The difference: JustAnalytics is fully managed, so no MongoDB clusters to babysit. Countly goes deeper on mobile-specific features like push notifications and remote config — if those are critical, Countly's mobile focus wins.

What's the true cost of self-hosting Countly for a 100K MAU app?

Countly's Flex cloud plan starts at $175/month. For self-hosted Enterprise, expect custom pricing plus infrastructure. A typical 100K MAU deployment needs MongoDB (3-node replica set), Node.js servers, load balancing, and backups. On AWS, that's roughly $400-600/month in compute and storage. Add engineering time for security patches, version upgrades, and on-call — easily 10-20 hours monthly. Total: $600-1,000/month plus engineering overhead. JustAnalytics Pro is $49/month with nothing to host.

Can I migrate from Countly to JustAnalytics without losing historical data?

Partially. Countly stores data in MongoDB, so you can export event logs and import aggregates into JustAnalytics via our REST API. Session-level data migration requires custom scripting. Most teams run both platforms in parallel for 2-4 weeks to validate parity, then cut over. We don't have a one-click Countly importer — yet. If historical continuity is critical, plan for a 2-week parallel-run migration.

Try JustAnalytics

All-in-one observability in one under-5KB script: cookieless analytics + error tracking + APM + session replay + uptime + structured logs. Replaces GA4 + Sentry + Datadog + Pingdom + LogRocket. Free tier (100K events/mo), Pro $49/month ($39 annual).

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