Built for Scale: How Sifflet outperforms Metaplane
Sifflet offers a more complete and scalable approach to data observability than Metaplane, built for the needs of modern enterprises—not just lean, dbt-centric teams. With deeper lineage, smarter automation, and broader team support, Sifflet helps organizations turn data trust into business impact.
Augmented data quality for analytics and AI
Metaplane covers the basics of technical data quality: freshness, volume, and anomaly detection, mainly for dbt-centric teams. Sifflet goes further, layering rich metadata, lineage, and cataloging to give full visibility and faster resolution across complex data environments.
Built for scale, Sifflet supports both technical and business users with AI-powered automation, broad integrations, and an adaptive UX. It’s observability that drives trust, governance, and business value, not just detection.
Don't Solve Half the Problem.
If you want to tackle data quality just from a technical perspective, Sifflet isn’t for you. But if you want to reach augmented data quality for analytics and AI that truly brings business value to downstream users, Sifflet is the right choice for today… and tomorrow.
OOTB monitors + SQL logic + NLP monitor wizard; scales across complex environments
Freshness, volume, null checks; dbt-aware
Automated RCA with health-aware lineage and pipeline insights
Manual triage with limited lineage context
End-to-end lineage from ingestion to BI, with health overlays
dbt metadata or warehouse schema-based; partial
Full catalog with glossary, usage tracking, and business context
No built-in catalog; limited metadata visualization
Alerts surface across tools—including BI dashboards via Chrome extension
Slack and email alerts
Adaptive UX for both technical and business users; built for large, decentralized orgs
Simple UI, CLI, fast setup; built for dbt-native, lean teams
Wide coverage across orchestration, warehouse, modeling, and BI tools
Strong in dbt and warehouse tools; limited elsewhere
There's no one size fits all.
When it comes to data observability platforms, there's no one size fits all.
Chat with one of our experts today to learn more about Sifflet and if it's the right option for you.
What impressed us most about Sifflet’s AI-native approach is how seamlessly it adapts to our data landscape — without needing constant tuning. The system learns patterns across our workflows and flags what matters, not just what’s noisy. It’s made our team faster and more focused, especially as we scale analytics across the business.
"Sifflet has been a game-changer for our organization, providing full visibility of data lineage across multiple repositories and platforms. The ability to connect to various data sources ensures observability regardless of the platform, and the clean, intuitive UI makes setup effortless, even when uploading dbt manifest files via the API. Their documentation is concise and easy to follow, and their team's communication has been outstanding—quickly addressing issues, keeping us informed, and incorporating feedback. "
"Sifflet serves as our key enabler in fostering a harmonious relationship with business teams. By proactively identifying and addressing potential issues before they escalate, we can shift the focus of our interactions from troubleshooting to driving meaningful value. This approach not only enhances collaboration but also ensures that our efforts are aligned with creating impactful outcomes for the organization."
"Having the visibility of our DBT transformations combined with full end-to-end data lineage in one central place in Sifflet is so powerful for giving our data teams confidence in our data, helping to diagnose data quality issues and unlocking an effective data mesh for us at BBC Studios"
"Sifflet has transformed our data observability management at Carrefour Links. Thanks to Sifflet's proactive monitoring, we can identify and resolve potential issues before they impact our operations. Additionally, the simplified access to data enables our teams to collaborate more effectively."
"Using Sifflet has helped us move much more quickly because we no longer experience the pain of constantly going back and fixing issues two, three, or four times."
Frequently asked questions
AI enhances data observability with advanced anomaly detection, predictive analytics, and automated root cause analysis. This helps teams identify and resolve issues faster while reducing manual effort. Have a look at how Sifflet is leveraging AI for better data observability here
-p-500.png)
