Countly vs Heap
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentCountly compared with Heap
Opposite philosophies of data collection. Heap autocaptures every interaction so you can define events retroactively without instrumenting them first, which suits web product teams who do not want to plan a tracking plan in advance. Countly requires deliberate instrumentation through its SDKs, which is more work up front but gives cleaner data and works identically on mobile, desktop, and IoT where autocapture does not. Heap is cloud-only; if self-hosting or data residency is on your requirements list, Countly is the only one of the two still in the conversation.
Choose Countly if
Mobile and multi-platform product teams with a data residency, regulatory, or sovereignty constraint that rules out sending raw events to a US cloud, and teams that want analytics, push, surveys, and A/B testing from one server instead of four vendors.
Choose Heap if
Product and growth teams at small to mid-sized software companies who want analytics that answer questions retroactively without a tracking-plan project, and who value not having to negotiate engineering time for every new metric.
Side by side
13 attributes| Attribute | Countly | Heap |
|---|---|---|
| Category | Product Analytics | Product Analytics |
| Starting price | Free if self-hosted (Lite); managed Flex starts at $175 per month (free plan available) | Free up to 10,000 monthly sessions; the Growth tier is commonly reported at around $3,600 per year (free plan available) |
| Pricing model | Three editions. Countly Lite is free and open source under AGPLv3, self-hosted, and limited to the aggregate analytics layer. Countly Flex is a managed private cloud priced by monthly active users and data points, with a base Advanced Analytics plan and two paid capability bundles (Adaptivity and Intelligence) added on top. Countly Enterprise is a self-hosted commercial license with all capabilities included, priced by quote and billed annually. | Session-based subscription, billed on monthly sessions rather than seats or events. Four tiers: Free, Growth, Pro, and Premier. Only the free plan has a published limit; Growth gives a self-serve estimate after you install the snippet, and Pro and Premier are quoted by sales against your session volume on an annual commitment. Session replay, additional projects, and extra years of data retention are separately priced add-ons. |
| Free plan | Countly Lite is free forever but self-hosted, and excludes drill, funnels, cohorts, and user profiles. The free tier that previously existed on the hosted Flex plan was removed in 2026. | Up to 10,000 monthly sessions, 6 months of data history, core charts, unlimited enrichment sources, and SSO, with no technical support |
| Free trial | 14 days on Flex (credit card required); demo environment for Enterprise | Free plan rather than a time-limited trial; paid-tier trials arranged through sales |
| Best for | Mobile and multi-platform product teams with a data residency, regulatory, or sovereignty constraint that rules out sending raw events to a US cloud, and teams that want analytics, push, surveys, and A/B testing from one server instead of four vendors. | Product and growth teams at small to mid-sized software companies who want analytics that answer questions retroactively without a tracking-plan project, and who value not having to negotiate engineering time for every new metric. |
| Setup time | A Flex instance and a first SDK integration can be live in a day. Self-hosting Lite or Enterprise is a genuine infrastructure project: provisioning, MongoDB, TLS, backups, and upgrade planning, typically a few days for someone who has done it before and longer for someone who has not. The instrumentation work, deciding which events to fire and what properties to attach, is the part that takes weeks regardless of edition. | Under an hour to install the snippet or mobile SDK and begin capturing. The real work starts afterwards: defining the virtual events that matter, wiring identify calls, and connecting enrichment sources typically takes a week or two of part-time effort before dashboards are trustworthy. |
| Learning curve | Moderate. The aggregate dashboards are readable immediately. The harder skill is event design, because Countly rewards a small number of well-segmented events and punishes a sprawl of one-off event names; Data Manager exists precisely because most teams get this wrong first. Operators of self-hosted deployments need MongoDB familiarity as an ongoing requirement, not a one-time one. | Low to start, moderate to do well. Building a chart is easy; writing virtual event definitions that stay correct through front-end changes is a skill, and so is resisting the urge to define an event for every interaction now that doing so is free. |
| Platforms | iOS, macOS, watchOS, tvOS, Android, Web (JavaScript SDK), React Native, Flutter, Cordova, Ionic, Unity and Unreal, Desktop (Windows, macOS, Linux), Node.js, Java, .NET, Python, PHP, IoT and connected devices | Web (JavaScript snippet), iOS and Android SDKs, React Native, Google Tag Manager, Server-side libraries |
| Compliance | GDPR, CCPA, HIPAA-capable when self-hosted, COPPA, ISO 27001 | GDPR, CCPA, SOC 2 Type II, HIPAA (with BAA on qualifying plans), ISO 27001 |
| Founded | 2013 | 2013 |
| Headquarters | London, United Kingdom | San Francisco, California, United States |
| Ownership | Independent, bootstrapped (Countly Ltd, registered in England and Wales) | Acquired by Contentsquare; deal announced September 2023 and completed December 2023 |
Strengths and limitations
Countly
Strengths
- Genuine self-hosting, including a free open source edition, which very few product analytics tools still offer credibly.
- Analytics and engagement in one system: a cohort defined from behavior is immediately addressable by push, in-app message, survey, or journey.
- Breadth across mobile, web, desktop, and IoT from one server, with mature first-party SDKs on all of them.
- Crash reporting with symbolication built in, so app stability and product behavior share a single app version and device breakdown.
Limitations
- The hosted free tier was removed in 2026, so the cheapest managed entry point is now $175 per month, which puts Countly out of reach for many small teams that would have trialled it.
- Lite lacks the granular data store, so funnels, cohorts, drill, flows, and user profiles are simply absent from the free edition. This is the single most misunderstood thing about Countly.
- On Flex, funnels and cohorts sit in the paid Intelligence bundle rather than the base plan, so the real cost of a comparable analytics setup is above the advertised entry price.
- Self-hosting means operating MongoDB. Reviewers repeatedly report friction with the Docker image, memory pressure, and incompatibility with some managed MongoDB providers, and the minimum viable server is larger than teams expect once push notifications are enabled.
Heap
Strengths
- Autocapture removes the single biggest failure mode in product analytics, which is discovering that the event you need was never instrumented.
- Retroactive event definition means a new metric has months of history on the day it is created, rather than starting a clock.
- Non-technical users can define events visually on the live site, so analytics work does not queue behind engineering.
- Illuminate genuinely surfaces findings nobody queried for, which is rare in a category where most tools only answer what you already thought to ask.
Limitations
- Autocapture produces a very large and noisy raw surface; without ongoing governance the event list becomes unusable and teams end up doing the taxonomy work they hoped to avoid.
- Virtual events defined against CSS selectors break silently when the front end is refactored, and a definition that is too loose quietly overcounts across all historical data at once.
- Paid pricing is opaque: Growth requires installing the snippet before you see a number, and Pro and Premier are sales-quoted with no published anchor.
- Data retention caps at twelve months on standard tiers, so year-over-year comparison requires paying for extra retention or exporting to a warehouse.
Pricing compared
Countly
Three editions. Countly Lite is free and open source under AGPLv3, self-hosted, and limited to the aggregate analytics layer. Countly Flex is a managed private cloud priced by monthly active users and data points, with a base Advanced Analytics plan and two paid capability bundles (Adaptivity and Intelligence) added on top. Countly Enterprise is a self-hosted commercial license with all capabilities included, priced by quote and billed annually.
- Lite$0
- FlexFrom $175
- EnterpriseCustom quote
Countly's value depends almost entirely on which edition you are talking about. Self-hosted Lite is one of the few genuinely capable free analytics servers, and for a team with infrastructure skills it delivers sessions, events, crashes, and push for the price of a VM. Managed Flex is not cheap at $175 per month for a base plan that excludes funnels and cohorts, and against Mixpanel's or PostHog's free and low tiers it loses on price outright. What you are actually buying at that price is isolation: your own instance, your choice of region, and no shared multi-tenant store. If data residency is a requirement rather than a preference, that premium is the whole point and it is reasonable. If it is not, the hosted incumbents give more analytics per dollar.
Heap
Session-based subscription, billed on monthly sessions rather than seats or events. Four tiers: Free, Growth, Pro, and Premier. Only the free plan has a published limit; Growth gives a self-serve estimate after you install the snippet, and Pro and Premier are quoted by sales against your session volume on an annual commitment. Session replay, additional projects, and extra years of data retention are separately priced add-ons.
- Free$0
- GrowthQuoted after snippet install (commonly around $3,600 per year)
- ProCustom session pricing
- PremierCustom session pricing
The free plan is one of the better deals in product analytics: 10,000 monthly sessions with full autocapture, SSO, and six months of history is enough to run a real early-stage product. The step above it is where the value question gets harder. Growth at roughly $3,600 a year is competitive with Mixpanel and Amplitude for a small team, but Heap's opacity means you cannot compare on a spreadsheet without contacting sales, and the features a growing B2B team most wants (account analytics, the engagement matrix, warehouse sync) sit on quote-only tiers with add-ons stacked on top. Judged purely on capability per dollar the product is strong; judged on procurement friction for a five-person company, it is the least small-business-friendly part of an otherwise small-business-friendly tool.
Editorial verdict on each
Countly
Countly is the answer to a specific question: what do you use when the behavioral data cannot leave your control? On that question it is one of a very small number of credible options, and it goes further than its self-hosted peers by putting push notifications, in-app content, surveys, A/B testing, and crash reporting on the same server as the analytics, so a cohort you define is a cohort you can message. Thirteen years of independent, bootstrapped development shows in the breadth of the SDKs and the seriousness of the governance tooling. The problem is the middle of the market. The 2026 removal of the Flex free tier and a $175 per month entry price that still excludes funnels and cohorts means a small business without a data residency requirement will get more analytics for less money from Mixpanel, PostHog, or Amplitude, and a small business with no operations capability should not casually take on self-hosted MongoDB. Buy Countly when regulation, sovereignty, or vendor consolidation on mobile is the actual constraint. If it is not, buy something cheaper.
Read the full Countly profileHeap
Heap made a genuinely good bet: that the expensive part of product analytics is not the charts but the instrumentation decisions you have to make before you know what you need. Autocapture plus retroactive event definition solves that better than anything else in the category, and Illuminate turns the resulting data mass into findings rather than just storage. For a small product team without analytics engineering, the free plan at 10,000 monthly sessions is one of the strongest starting offers available. The reservations are commercial and structural. Paid pricing is quote-only above a Growth tier that will not even show you a number until the snippet is installed, session replay and retention are add-ons that inflate the real cost, and the twelve-month history ceiling undercuts the very promise of retroactive analysis. Add the Contentsquare acquisition folding Heap into a larger platform and the long-term shape of the standalone product is uncertain. Start free and stay there as long as the volume allows; before upgrading, get a written quote that includes replay and retention, and compare it honestly against PostHog and Mixpanel, both of which will tell you their price without a phone call.
Read the full Heap profileCountly profile last reviewed 2026-08-23; Heap last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.