PostHog vs RudderStack
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
Still shortlisting? Browse the best in GTM Analytics and the best in Customer Data Platforms for every option we track, with award winners called out.
The short answer
Editorial assessmentRudderStack compared with PostHog
PostHog collects, stores, and analyses events itself and includes a warehouse and pipeline features, which overlaps RudderStack's job for a small company. PostHog is far simpler and cheaper if it is your only destination. RudderStack wins when you have many destinations, a real data warehouse as system of record, and governance requirements that a bundled pipeline cannot meet.
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.
Choose RudderStack if
Companies sending the same event data to three or more tools, teams that already have or are building a data warehouse and want it to be the system of record, and any organisation that has been burned by re-instrumenting an application every time it changes analytics vendors.
Side by side
13 attributes| Attribute | PostHog | RudderStack |
|---|---|---|
| Category | Analytics | CDP |
| Starting price | $0 (generous monthly free tiers; pay only past the allowance) | $0 (Free, 250,000 events per month), then $265 per month (Growth, 1 million events) |
| Pricing model | 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. | Freemium subscription metered on events processed per month, with unlimited team members and tiers differing on sync frequency, workspaces, reverse ETL connections, and enterprise capabilities. |
| Free plan | 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 covers 250,000 events a month with 16 SDK sources, more than 200 cloud destinations, warehouse destinations, and 10 reverse ETL connections. |
| Free trial | Not applicable; the free tier is permanent, not a trial | 30 days on Growth |
| Best for | 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. | Companies sending the same event data to three or more tools, teams that already have or are building a data warehouse and want it to be the system of record, and any organisation that has been burned by re-instrumenting an application every time it changes analytics vendors. |
| Setup time | 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. | A day for a first pipeline: install an SDK, connect a warehouse destination, verify with live event inspection, add a cloud destination. A properly governed implementation with tracking plans, transformations, and consent handling is a multi-week project and should be planned as one. |
| Learning curve | Low for the web analytics dashboard; moderate for funnels, cohorts, and replay; high for SQL insights, warehouse modeling, and experimentation statistics. | Moderate to steep depending on ambition. Sending events to a destination is easy. Designing an event schema that will still make sense in two years, writing transformations, and modelling identity in the warehouse are data engineering tasks that reward experience. The tracking plan feature exists precisely because most teams get this wrong the first time. |
| Platforms | 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) | JavaScript and web, iOS and Android, React Native and Flutter, Node, Python, Java, Go, Ruby, PHP, and .NET, HTTP API, Snowflake, BigQuery, Redshift, Databricks, and Postgres, Self-hosted data plane |
| Compliance | SOC 2 Type II, GDPR, HIPAA (BAA on Boost, Scale, or Enterprise package) | GDPR, CCPA, HIPAA (Enterprise tier), Confirm current SOC 2 scope with the vendor during procurement |
| Founded | 2020 | 2019 |
| Headquarters | Remote-first; US-incorporated (San Francisco), team distributed globally | San Francisco, California, United States |
| Ownership | Venture-backed | Venture-backed, privately held |
Strengths and limitations
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.
RudderStack
Strengths
- Warehouse-first architecture means your event history lives in your own Snowflake, BigQuery, Redshift, Databricks, or Postgres from day one, so switching vendors costs configuration rather than data.
- Warehouse destinations are included on the free tier, which is unusual and makes the free plan a real pipeline rather than a sampler.
- Instrument once, route to more than 200 destinations, which turns changing analytics vendors from an engineering project into a configuration change.
- Governance is a first-class feature rather than an afterthought: tracking plans, a data catalog, consent management, and bot management all operate at the pipeline level.
Limitations
- It does no analysis at all. There are no funnels, no retention curves, and no dashboards, so RudderStack always sits alongside at least one other purchase.
- The jump from the free 250,000 event tier to $265 a month for a million events is abrupt, with no intermediate step for a company sitting just over the line.
- Profiles, Data Apps, HIPAA, SSO, and 5 minute warehouse syncs are all Enterprise-only, so the most differentiated capability is behind a quoted contract.
- The self-hosted code is source-available under an Elastic 2.0 licence rather than permissively open source, and the enterprise edition includes features the public code does not.
Pricing compared
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)$250 / $750 / $2,000
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 add a fixed $250 to $2,000 a month. Treat it as extremely cheap by default and only as cheap as your instrumentation discipline at scale.
RudderStack
Freemium subscription metered on events processed per month, with unlimited team members and tiers differing on sync frequency, workspaces, reverse ETL connections, and enterprise capabilities.
- Free$0
- Growth$265
- EnterpriseCustom
- Self-hosted$0 licence
Judged as infrastructure rather than as a product, RudderStack is fairly priced and the free tier is genuinely useful, particularly because warehouse destinations are included rather than gated. Estimating your bill means estimating events, not users, and the multiplier is what catches people out. A product with 10,000 monthly users generating perhaps twenty tracked events each produces around 200,000 events a month, which fits the free tier with almost nothing to spare. The same product at 100,000 monthly users produces roughly 2 million events, which is past the Growth base allowance of a million and into the higher volume options. That curve means RudderStack is free for a small startup, an abrupt $265 a month once it grows, and a real line item after that. The comparison that matters is not against another CDP but against doing nothing: if you are sending the same events to one destination, this is unnecessary cost and complexity. If you are sending them to four, RudderStack is cheaper than maintaining four instrumentations and far cheaper than the eventual project to reconcile them.
Editorial verdict on each
PostHog
PostHog 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 profileRudderStack
RudderStack is infrastructure, and it should be bought the way infrastructure is bought: because a specific problem demands it, not because a category exists. The problem it solves well is fragmentation, where the same events are instrumented separately for analytics, advertising, messaging, and the warehouse, and the four sources drift until nobody trusts any of them. The warehouse-first design is the right answer to that, because your event history lands in your own Snowflake or BigQuery from the first day and every other tool becomes a swappable destination. The free tier at 250,000 events with warehouse destinations included is a genuine pipeline, and $265 a month for a million events is fair for what it does. Buy it when you have three or more destinations, a warehouse, and somebody who will own the tracking plan. Do not buy it as your first analytics purchase, do not expect it to produce a single chart, and be aware that the most differentiated features, meaning Profiles, five minute syncs, SSO, and HIPAA, all live behind an Enterprise contract.
Read the full RudderStack profilePostHog profile last reviewed 2026-09-27; RudderStack last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.
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Frequently asked questions
6 questionsWhat is the difference between PostHog and RudderStack?
PostHog collects, stores, and analyses events itself and includes a warehouse and pipeline features, which overlaps RudderStack's job for a small company. PostHog is far simpler and cheaper if it is your only destination. RudderStack wins when you have many destinations, a real data warehouse as system of record, and governance requirements that a bundled pipeline cannot meet.
Is PostHog or RudderStack cheaper?
PostHog starts at $0 (generous monthly free tiers; pay only past the allowance). RudderStack starts at $0 (Free, 250,000 events per month), then $265 per month (Growth, 1 million events). The billing models differ, so the entry price is rarely the whole cost. PostHog pricing model: 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. RudderStack pricing model: Freemium subscription metered on events processed per month, with unlimited team members and tiers differing on sync frequency, workspaces, reverse ETL connections, and enterprise capabilities.
Does PostHog or RudderStack have a free plan?
PostHog has a free plan. 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. Trial terms: Not applicable; the free tier is permanent, not a trial. RudderStack has a free plan. Free covers 250,000 events a month with 16 SDK sources, more than 200 cloud destinations, warehouse destinations, and 10 reverse ETL connections. Trial terms: 30 days on Growth.
Who should choose PostHog?
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.
Who should choose RudderStack?
Companies sending the same event data to three or more tools, teams that already have or are building a data warehouse and want it to be the system of record, and any organisation that has been burned by re-instrumenting an application every time it changes analytics vendors.
What are the best alternatives to PostHog and RudderStack?
SaaSTracker profiles 16 products in GTM Analytics. The Summer 2026 awards in the category went to Google Analytics 4 (Category Leader), Umami (Best Value), HockeyStack (Momentum). SaaSTracker profiles 16 products in Customer Data Platforms. The Summer 2026 awards in the category went to Dataddo (Ease of Use). Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.
