Sigma Computing vs PostHog
A detailed comparison to help you choose between Sigma Computing and PostHog.
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Verdict: PostHog wins
PostHog scores 4.4/5, edging out Sigma Computing at 3.8/5. Engineering-led product teams that want analytics, session replay, flags and error tracking in one open-source platform and are willing to configure event design and sampling deliberately.
Sigma Computing Spreadsheet-style BI with AI assistance | PostHog Product analytics platform with built-in session replay and feature flags | |
|---|---|---|
| Rating | 3.8 (1 review) | 4.4 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Mid-size and enterprise teams whose business users live in spreadsheets but whose data lives in a cloud warehouse — especially where write-back and planning workflows matter. | Engineering-led product teams that want analytics, session replay, flags and error tracking in one open-source platform and are willing to configure event design and sampling deliberately. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | free tierteam features | free tieropen sourceapi access |
| Visit Sigma Computing → | Visit PostHog → |
Sigma Computing
Pros
- + Spreadsheet formulas and pivots compile to SQL and run live on the warehouse — no extracts to refresh, and I watched generated SQL hit Snowflake while filtering
- + Input tables and forms enable write-back: users enter forecasts or annotations that persist as first-class tables next to warehouse data
- + Permission-driven tiers are documented exactly (View/Act/Analyze/Build, billed at highest permission), so the licensing logic is knowable before the quote
- + Zero-dollar Viewer seats on AWS Marketplace make dashboard-consumer rollouts economically plausible
- + Live connections to the major warehouses (Snowflake, Databricks, BigQuery, Redshift) with materialisation and SQL/Python at the Build tier
Cons
- - No published list prices anywhere — sigmacomputing.com/pricing is a contact form; budgeting starts with a sales call
- - No free plan: a 7-day direct trial (20 invitations, 50 exports caps) or 14 days via AWS Marketplace is all a buyer gets
- - Tier escalation is silent: one Build-level permission on an Analyze account flips that user to Build pricing
- - Warehouse compute stacks under every interaction and can approach the licence cost — total spend is not visible in the quote
- - Excel veterans face a real recalibration: calculated columns replace independent cells, and there is no cell-level editing
PostHog
Pros
- + Free tier resets monthly and covers real work: 1M events, 5K recordings, 1M flag requests and 100K exceptions per month, with every feature available and no credit card
- + Funnel-to-replay-to-error-trace in one timeline replaced a three-tool debugging loop I used to run across separate user IDs
- + Self-hosting under MIT keeps event data inside your own infrastructure — the practical answer I recommend for regulated teams
- + No seat-based pricing at all; adding engineers, PMs and analysts to my projects never changed the bill
- + Billing limits are hard caps you set yourself, so a runaway autocapture config stops at your ceiling instead of at a surprise invoice
Cons
- - Session replay, not analytics, became the largest cost line in my test project once traffic passed the 5K free recordings
- - The interface packs nine-plus products into one navigation; new users I onboarded needed a full day before finding the right tool consistently
- - Self-hosting is a genuine ops burden (ClickHouse, Kafka, Postgres) and the self-hosted build lacks SAML SSO and granular permissions
- - Identified events cost nearly 4x anonymous events in the first paid band, so user-identification choices move the bill more than event volume does
- - Past a billing limit PostHog drops data until the next period — cost control comes at the price of visibility
Frequently Asked Questions
Which is better, Sigma Computing or PostHog?▼
PostHog scores higher at 4.4/5 vs 3.8/5 for Sigma Computing, making it the better-rated option in our comparison.
What is the difference between Sigma Computing and PostHog?▼
Sigma Computing: Sigma is a cloud analytics tool with a spreadsheet-style interface over data in your warehouse, so business teams can explore data and build dashboards without SQL. PostHog: PostHog is an open-source product analytics platform that combines event analytics, session replay, feature flags, A/B testing and error tracking in one tool for product and engineering teams.
Is Sigma Computing or PostHog more affordable?▼
Sigma Computing starts at €0/mo, PostHog starts at €0/mo. Check the comparison table above for current pricing.
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