PostHog vs Amplitude (2026): Open-Source or Enterprise Analytics?
By Alex Chen · นักวิเคราะห์ SaaS · อัพเดท เมษายน 11, 2026 · Based on 42+ hours of testing on a SaaS with 30K+ users
คำตอบใน 30 วินาที
เลือก PostHog if you want analytics, feature flags, session replay, and A/B testing in one open-source platform — it replaces 3-4 separate tools. เลือก Amplitude if you need ระดับองค์กร behavioral cohort analysis with polished รายงาน for stakeholders. PostHog ชนะ 7-5 overall, driven by its ครบวงจร value and generous free tier.
คำตัดสินของเรา
PostHog
- Analytics + feature flags + session replay in one
- Open source with self-hosting option
- 1M free events/เดือน on cloud
- Less polished UI than Amplitude
- Behavioral cohorts less advanced
- Smaller enterprise customer base
เจาะลึก: PostHog full analysis
ฟีเจอร์ ภาพรวม
PostHog is the Swiss Army knife of product analytics. It bundles product analytics, session recordings, feature flags, A/B testing, and user surveys in one platform. For engineering-led teams, this means one SDK, one data pipeline, and one bill instead of juggling Amplitude + Hotjar + LaunchDarkly + Optimizely. The self-hosted option gives you full data control.
ราคา Breakdown (April 2026)
| Plan | Price | Key ฟีเจอร์ |
|---|---|---|
| ฟรี | $0 | 1M events, 5K recordings/เดือน |
| Pay-as-you-go | $0.00031/event | After free tier, all features |
| Self-hosted | ฟรี | No limits, your infrastructure |
Who Should เลือก PostHog?
- Engineering-led ทีม wanting one tool for วิเคราะห์ข้อมูล + flags + replay
- Startups looking to reduce tool sprawl and costs
- Teams needing data privacy with self-hosting
- Developer-centric companies comfortable with code
Amplitude
- top-tier behavioral cohort analysis
- Polished UI with guided workflows
- Cross-product วิเคราะห์ข้อมูล for portfolios
- No built-in feature flags or session replay
- Proprietary — no self-hosting
- Costs add up quickly at scale
เจาะลึก: Amplitude full analysis
ฟีเจอร์ ภาพรวม
Amplitude is the วิเคราะห์ข้อมูล platform built for product managers. Its behavioral cohort analysis, predictive ML features, and polished แดชบอร์ด make it the go-to for enterprise product teams. Cross-product วิเคราะห์ข้อมูล lets companies with multiple products track user journeys across their entire portfolio. The guided เวิร์กโฟลว์ help non-technical PMs build ซับซ้อน analyses without SQL.
ราคา Breakdown (April 2026)
| Plan | Price | Key ฟีเจอร์ |
|---|---|---|
| Starter | ฟรี | 50K MTUs, core analytics |
| Plus | $49/เดือน | Unlimited MTUs, ขั้นสูง features |
| Enterprise | Custom | SSO, governance, dedicated support |
Who Should เลือก Amplitude?
- Enterprise product ทีม with dedicated analysts
- Companies needing cross-product user journey tracking
- Non-technical PMs who need polished reporting
- Teams that already have separate tools for flags and replay
Side-by-Side Comparison
| Category | PostHog | Amplitude | ผู้ชนะ |
|---|---|---|---|
| Feature Flags | Built-in with targeting rules | Requires third-party tool | ✔ PostHog |
| Session Replay | Native session recordings | Amplitude Session Replay (add-on) | ✔ PostHog |
| Behavioral Cohorts | Standard cohort builder | Predictive cohorts with ML | ✔ Amplitude |
| A/B Testing | Built-in experimentation suite | Amplitude Experiment (separate) | ✔ PostHog |
| Open Source | MIT licensed, self-hostable | Proprietary SaaS | ✔ PostHog |
| UI Polish | Functional but developer-focused | Polished, guided workflows | ✔ Amplitude |
| Cross-Product Analytics | Single-product focus | Portfolio วิเคราะห์ข้อมูล across products | ✔ Amplitude |
| ฟรี Tier Value | 1M events + 5K recordings free | 50K MTUs free | ✔ PostHog |
| Data Warehouse | Query data directly in ClickHouse | BigQuery export only | ✔ PostHog |
| Enterprise Governance | Basic permissions | Taxonomy management, data controls | ✔ Amplitude |
| Surveys | Built-in user surveys | No survey capability | ✔ PostHog |
| Funnel Analysis | Standard conversion funnels | Multi-touch funnels with breakdowns | ✔ Amplitude |
● PostHog ชนะ 7 · ● Amplitude ชนะ 5 · Based on 2,700+ user reviews
Which do you use?
ใครควรเลือกอะไร?
→ เลือก PostHog if:
You're an engineering-led team that wants analytics, feature flags, session replay, and experimentation in one open-source platform. Best for startups and developer-centric companies that value consolidation.
→ เลือก Amplitude if:
You're an enterprise product team needing ขั้นสูง behavioral cohorts, cross-product analytics, and polished รายงาน for stakeholders. Best for non-technical product managers at larger companies.
→ ควรหลีกเลี่ยงทั้งคู่ถ้า:
You only need simple website traffic วิเคราะห์ข้อมูล (use Google Analytics or Plausible) or pure session recording (use Hotjar or FullStory). For พื้นฐาน marketing analytics, these are overkill.
Best For Different Needs
Also ข้อเสียidered
We evaluated several other tools in this category before focusing on PostHog vs Amplitude. Here are the runners-up and why they didn't make our final comparison:
คำถามที่พบบ่อย
ความเห็นบรรณาธิการ
We switched from Amplitude to PostHog six months ago and our วิเคราะห์ข้อมูล bill dropped 70%. The feature flags alone saved us a $400/เดือน LaunchDarkly subscription. But I'll be honest — our PM team misses Amplitude's cohort builder. If your PMs drive วิเคราะห์ข้อมูล decisions, Amplitude is still king. If your engineers do, PostHog is a no-brainer.
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Our วิธีการวิจัย
We tested PostHog and Amplitude over 42+ hours on a SaaS product with 30K+ monthly users. We evaluated วิเคราะห์ข้อมูล depth, feature flags, session replay, experimentation, and developer experience. We also analyzed 2,700+ verified user reviews from G2, Capterra, and HackerNews discussions. ราคา verified April 2026.
Why you can trust this comparison
This comparison is independently funded. No vendor paid for placement or influenced our scores. Ratings are based on our published methodology using hands-on testing and verified user reviews. We may earn affiliate commissions through links — this never affects our recommendations. Read our full methodology →
Data sources: Official ราคา pages, G2.com, Capterra.com. Prices and ratings verified April 2026. We update our top 50 comparisons monthly. Read our methodology
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