Head-to-head · Game Analytics Software
Rawbbit vs ThinkingAI Gaming Analytics
Rawbbit leads on 0 checks, ThinkingAI Gaming Analytics on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreRawbbit · 8.8/10
- Free planonly Rawbbit
Rawbbit scores higher on our rubric for game analytics software: 8.8 against 8.5 out of 10; our editors rank them #5 and #8.
Rawbbit is the better fit for technical teams preferring open-source self-hosting. ThinkingAI Gaming Analytics is the better fit for enterprise teams needing AI and self-hosting.
- Rawbbit fits best
Technical teams preferring open-source self-hosting
- ThinkingAI Gaming Analytics fits best
Enterprise teams needing AI and self-hosting
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Side by side
| Feature | Rawbbit 8.8/10 Visit ↗ | ThinkingAI Gaming Analytics 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #5 in Game Analytics Software | #8 in Game Analytics Software |
| Best for | Technical teams preferring open-source self-hosting | Enterprise teams needing AI and self-hosting |
| Pricing model | Free | Paid |
| Starting price | Free plan | Pricing on request |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Self-hosted, Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Docs | |
| Integrations | 9 integrations | 8,000+ integrations |
| Built for | Small business, Mid-market | Mid-market, Enterprise |
| Features Rawbbit 4/5 · ThinkingAI Gaming Analytics 4/5 | ||
| Retention analysis | ✓ | ✓ |
| Funnel analysis | ✓ | ✓ |
| Monetization analytics | ✓ | ✓ |
| Live-game reporting | Not checked yet | ✓ (best) |
| Cohort analysis | ✓ (best) | Not checked yet |
| Specs | ||
| Data retention | Not checked yet | Not checked yet |
| Monthly event volume | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Rawbbit is an open-source game analytics pipeline for studios that want to collect, store, query, and visualize player-event data on infrastructure they control. It supports HTTP event-batch ingestion, JavaScript and HTTP integrations, raw… Read the review → |
ThinkingAI Gaming Analytics is an AI-driven analytics and live-ops platform for game studios. It brings player telemetry together with acquisition, monetization, operational, and feedback data, then lets teams ask questions in natural… Read the review → |
Strengths and trade-offs
Rawbbit — where it wins
- Free self-serve access with core ingestion and storage pipeline
- Retention, funnels, cohorts, sessions, revenue, and SQL analytics
- Self-hosted stack with ClickHouse, Metabase, NATS, and S3 support
Where it doesn't
- Self-hosting requires infrastructure and deployment work
- Done-for-you setup uses quote-based pricing
- Live-game reporting is not identified as a defined capability
ThinkingAI Gaming Analytics — where it wins
- Natural-language analytics without SQL across core game metrics
- Self-hosted deployment supports customer-controlled infrastructure
- Connects engines, stores, SDKs, APIs, and data warehouses
Where it doesn't
- Requires contacting sales for a quote
- Self-hosting places infrastructure responsibility with the customer
- Broad scope may exceed the needs of teams seeking a focused tool
- Rawbbit8.8/10 · Free plan
A self-hosted analytics pipeline covering player events, SQL, dashboards, and AI-agent access.
Visit RawbbitFull verdict → - ThinkingAI Gaming Analytics8.5/10 · Pricing on request
A wide game analytics and live-ops platform for teams needing AI and self-hosting.
Visit ThinkingAIFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





