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How recommendations are scoredYour Real-time Analytics
Click any tool to swap it. Add optional layers to customize your recommendation.
Why this recommendation
Evidence: High · 87/100This reflects how much supporting evidence we have for the recommendation, based on source coverage, metadata, and verified integrations.
- Optimized for a default real-time analytics architecture across the required stack layers.
- Prioritizes streaming, low-latency storage, and dashboarding layers for operational analytics.
- Balances role fit, adoption, review quality, user requirements, and available integration evidence.
- Source coverage: Most selected tools have strong adoption, review, and metadata coverage.
- Verified integrations: 2 of 3 selected tool pairs are verified: Apache Kafka + ClickHouse and ClickHouse + Apache Superset. No verified integration found yet: Apache Kafka + Apache Superset.
- Requirement evidence: No optional requirements were selected, so the stack is judged on default architecture fit.
Integration Map
Understanding your stack scores
Overall quality of your stack, shown out of 100. Combines community health and integration coverage equally.
Average adoption strength across your tools, normalized to 100 from GitHub stars and Stack Overflow questions.
Share of architecture-relevant stack connections with a verified integration, shown out of 100. Green lines are verified integrations; amber dashed lines are expected stack connections where verified source evidence is not recorded yet.
Estimated range based on each tool's published starting price and pricing model. Actual costs depend on usage, team size, and plan tier.
Integration indicators on each tool
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This architecture has multiple self-hosted components and complex integrations. We can help you validate the architecture before implementation.
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