Jitsu vs PostHog
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 assessmentJitsu compared with PostHog
PostHog collects, stores, and analyses events itself, so for a small company with one destination it replaces both Jitsu and the analytics tool downstream. Jitsu is the right choice when the warehouse is the destination that matters, when several tools need the same events, or when a permissive open source licence and self-hosting are requirements. Many teams run PostHog as one of Jitsu's destinations rather than choosing between them.
Choose Jitsu if
Technically capable small teams who need event data reliably delivered into their own warehouse at low cost, teams with a policy preference for permissively licensed open source software, and companies leaving Segment who want the cheapest possible migration through the Segment Proxy.
Choose PostHog if
Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it.
Side by side
13 attributes| Attribute | Jitsu | PostHog |
|---|---|---|
| Category | Product Analytics | Analytics |
| Starting price | $0 (Free, 200,000 events per month), then $99 per month (Business, 2 million events) (free plan available) | $0 (generous monthly free tiers; pay only past the allowance) (free plan available) |
| Pricing model | Freemium cloud subscription metered on active events per month with unlimited destinations on every plan and connector sync frequency as the tier differentiator, alongside a free MIT-licensed self-hosted build with no usage limits. | Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features. |
| Free plan | Free covers 200,000 active events a month with unlimited destinations, unlimited connectors with manual runs and one daily active sync, custom domains, the events debugger, and the configuration API. | 1M analytics events, 5K session recordings, 1M feature-flag requests, 100K exceptions, 1,500 survey responses, and 1M data warehouse rows per month, on 1 project with 1-year retention. |
| Free trial | Free trial on the Business plan; the free tier serves as the ongoing evaluation path | Not applicable; the free tier is permanent, not a trial |
| Best for | Technically capable small teams who need event data reliably delivered into their own warehouse at low cost, teams with a policy preference for permissively licensed open source software, and companies leaving Segment who want the cheapest possible migration through the Segment Proxy. | Engineering-led SaaS and product teams that want web analytics, product analytics, replay, flags, and experimentation consolidated in one usage-priced platform, and that are comfortable doing their own revenue-attribution modeling if they need it. |
| Setup time | An hour on the cloud: create a source, add the tag or SDK, connect a warehouse destination, and confirm in the events debugger. Self-hosting is a longer exercise, from an afternoon with Docker Compose to a proper Helm deployment with its own datastore and monitoring. | Minutes to first data with the JS snippet and autocapture; days to weeks to define clean custom events, dashboards, and cohorts; warehouse sources and pipelines are a separate project. |
| Learning curve | Low for basic delivery and moderate once TypeScript functions are involved, since transformation logic is real code that needs testing and maintenance. The absence of tracking plans means schema discipline is entirely a matter of your own process rather than something the tool enforces, which is the main thing to plan for. | Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics. |
| Platforms | JavaScript HTML snippet and npm package, React and React Native, iOS and Android, HTTP API and server to server, Tracking pixel, Segment Proxy, Docker Compose and Helm self-hosting | Web app, JavaScript snippet and web SDK, Server SDKs (Python, Node, Go, PHP, Ruby, and others), Mobile SDKs (iOS, Android, React Native, Flutter), Self-hosted Hobby build (Docker, open source) |
| Compliance | GDPR considerations addressed primarily through self-hosting and per-destination transformation rather than a packaged consent feature, Confirm current certification status with the vendor during procurement | SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package) |
| Founded | 2020 | 2020 |
| Headquarters | San Francisco, California, United States | Remote-first; US-incorporated (San Francisco), team distributed globally |
| Ownership | Venture-backed, privately held, Y Combinator S20 | Venture-backed |
Strengths and limitations
Jitsu
Strengths
- MIT licensed rather than source-available, so self-hosting is unrestricted and no future licence change can be applied to the version you already run.
- The cheapest cloud pricing in the category at $99 for 2 million events, with published overage at $40 per additional million.
- The Segment Proxy allows an existing Segment implementation to point at Jitsu without re-instrumenting the application, which is the lowest-friction migration path available anywhere in this category.
- Unlimited destinations on every plan including free, so the number of tools you feed never directly raises the bill.
Limitations
- No governance layer at all: no tracking plans, no data catalog, no pipeline-level consent management, and no warehouse-native identity resolution.
- The destination catalogue covers dozens of tools rather than the two hundred-plus larger competitors advertise, so verify your specific integrations before committing.
- A nine-person company with $2M raised in a single seed round in 2020, so support depth, roadmap velocity, and enterprise assurances are all correspondingly limited.
- No analysis capability whatsoever, so Jitsu is always at least the second purchase alongside an analytics tool or a BI layer.
PostHog
Strengths
- Breadth with real integration: analytics, replay, flags, experiments, surveys, error tracking, and a warehouse genuinely share one event stream and identity graph rather than being bolted-on acquisitions.
- The most generous free tier in the category, 1M events and 5K recordings monthly, permanently, which makes evaluation and early-stage use genuinely free.
- Open-source codebase plus a choice of US or EU (Frankfurt) cloud gives privacy and procurement teams inspectability and residency options most rivals lack.
- Usage pricing with automatic volume discounts and per-product spending caps scales from hobby project to hundreds of millions of events without a sales call.
Limitations
- No packaged B2B revenue attribution: connecting spend and touchpoints to CRM pipeline and closed-won revenue is a data-warehouse project in PostHog, not a built-in report as in Dreamdata or HockeyStack.
- Depth demands technical investment; non-technical marketers can read the web dashboard but will struggle to self-serve funnels, SQL insights, or warehouse joins.
- Usage-based billing is unpredictable without configured limits, and replay-heavy or autocapture-noisy sites can generate surprising invoices.
- The full event platform carries more GDPR surface than minimalist tools: consent, masking, and retention need deliberate configuration, where Plausible or Fathom are compliant nearly by default.
Pricing compared
Jitsu
Freemium cloud subscription metered on active events per month with unlimited destinations on every plan and connector sync frequency as the tier differentiator, alongside a free MIT-licensed self-hosted build with no usage limits.
- Free$0
- Business$99
- EnterpriseCustom
- Open source self-hosted$0
On price per event, Jitsu is the cheapest credible option in this category, and the MIT-licensed self-hosted build is free at any volume for teams able to run it. Modelling the bill takes one multiplication. A product with 10,000 monthly users generating around twenty events each produces roughly 200,000 events a month, which lands exactly on the free tier boundary. The same product at 100,000 monthly users produces around 2 million events, which is precisely the $99 Business allowance. The equivalent RudderStack figures are the free tier at 250,000 and $265 a month for one million, so at the 100,000 user mark Jitsu is roughly a fifth of the cost. What that money does not buy is governance. There are no tracking plans, no data catalog, no consent management at the pipeline level, and no warehouse-native identity resolution, and the destination catalogue is dozens rather than hundreds. Jitsu is excellent value if your requirement is delivery, and false economy if your requirement is data quality control across a growing organisation.
PostHog
Usage-based pricing per product: every product has a monthly free allowance, then per-unit billing (per event, recording, flag request, survey response, or row) with steep volume discounts; optional platform packages add support and compliance features.
- Free (no card)$0
- Pay-as-you-goUsage-based
- Platform packages (Boost, Scale, Enterprise)Quoted / package pricing
At small and mid scale PostHog is close to unbeatable on price: the permanent free tiers cover a real startup's entire measurement stack, and the per-unit rates undercut buying analytics, replay, flags, and experimentation separately. The honest caveat is that usage pricing shifts the budgeting burden onto you: a replay-heavy or event-noisy implementation can quietly cost more than a flat-rate point tool, and the platform packages needed for enterprise compliance are quoted, not listed. Treat it as extremely cheap by default and only as cheap as your instrumentation discipline at scale.
Editorial verdict on each
Jitsu
Jitsu is the cheapest honest way to get event data into your own warehouse, and the MIT licence is the reason to take it seriously rather than treat it as a budget option. Two million events for $99 a month, unlimited destinations on every plan including free, custom domains and a configuration API without paying, and a Segment Proxy that turns a migration into a configuration change: for a technically capable small team, that is a strong offer. It is also an unambiguous one, because the gaps are easy to see. There is no governance layer, no identity resolution, no consent management, a destination catalogue measured in dozens, and nine people behind it. Buy Jitsu when the requirement is delivery, when your team can write a TypeScript function without ceremony, and when owning the software matters. Buy RudderStack instead when data quality across a growing organisation is the actual problem, and buy neither if you have one analytics tool, no warehouse, and no third destination in sight.
Read the full Jitsu profilePostHog
Category LeaderPostHog is the default recommendation in this category for any team with an engineer on it: no rival matches the combination of a free-forever tier that covers real workloads, usage pricing that scales without a sales call, and genuinely integrated replay, flags, and experimentation on top of web and product analytics. The two honest reservations are that marketing teams without technical support will use a fraction of it, and that B2B pipeline attribution, the question GTM leaders most want answered, remains a do-it-yourself exercise on PostHog's warehouse rather than a shipped feature. Buy it as the behavioral system of record; budget separately if you need turnkey revenue attribution.
Read the full PostHog profileJitsu profile last reviewed 2026-08-22; PostHog last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.