.avif){kind=logo}
Data reliability has become a business imperative.
Whether you’re fueling AI models, executive dashboards, or customer analytics, silent data errors ripple across decisions, revenue, and trust.
That’s why Sifflet for Snowflake is now available directly on the Snowflake Marketplace, bringing AI-augmented, enterprise-grade data observability into the AI Data Cloud. Together, Snowflake and Sifflet bridge the gap between governance and reliability, helping enterprises not only see what broke, but also understand why it matters.
Why This Matters
Snowflake is making three bold bets: Polaris, Cortex, and Horizon, and each of them depends on trust.
Polaris + Iceberg: Governance Without Lock-In
Snowflake is redefining interoperability, allowing customers to use any compute engine on their data. It’s a powerful stance on openness, but it creates a new challenge:
Who ensures data quality when Spark writes, Trino transforms, and Snowflake reads?
Without cross-engine observability, the open compute promise risks becoming a support nightmare. Sifflet closes that gap.
Cortex AI: Democratizing AI for Enterprises
Cortex brings AI to everyone. But AI is only as good as the data it runs on. Eight out of ten IT leaders cite poor data reliability, not compute power, as the biggest blocker to AI success. Sifflet ensures Cortex runs on clean, explainable, and trustworthy data, powering better predictions and higher adoption.
Horizon Catalog: The Universal Control Plane
Governance defines who can see the data. Observability ensures the data is worth seeing. Horizon provides world-class control and classification; Sifflet complements it with end-to-end quality and lineage, from Kafka to dbt to Tableau.
Sifflet + Snowflake: Better Together
Sifflet is not another monitoring add-on. It’s the missing trust layer that makes Snowflake the center of gravity for reliable data across your entire stack.
1. Unified Data Plane → Unified Observability
Snowflake already centralizes your data. Sifflet unifies your trust signals.
We collect metadata, lineage, and quality metrics natively inside Snowflake, no data duplication, no external pipelines.
- Real-time monitoring through Snowflake’s native telemetry and query history
- Anomaly detection across freshness, volume, schema, and business KPIs
- Everything runs inside your Snowflake perimeter, maintaining your governance guarantees
Snowflake gives you a single source of truth. Sifflet gives you a single source of trust.
2. Native Integration, Zero Overhead
Sifflet was designed to feel like a Snowflake feature, not a separate platform.
- Deploy in minutes via Snowflake Marketplace
- No agents or connectors to maintain
- Scales elastically with your Snowflake compute
Observability becomes part of your warehouse, not another system to manage.
3. Metadata Activation = Smarter Governance
Snowflake’s catalog and metadata APIs expose a goldmine of context. Sifflet activates it.
- Maps lineage across pipelines to reveal downstream impact
- Enriches tags and classifications with reliability metrics
- Powers trust scoring and SLA tracking at dataset, dashboard, and AI-model levels
Snowflake tells you what you have. Sifflet tells you if you can trust it.
4. Reliability for AI and Analytics
Data observability isn’t just about uptime, it’s about AI readiness.
Sifflet validates model inputs, explains anomalies, and provides auditability across the data lifecycle, ensuring your AI projects run on solid ground.
5. Shared Philosophy: Simplicity, Scale, Security
Both platforms are cloud-native, fully managed, and built for scale.
No infrastructure burden. No security trade-offs. Just seamless integration between governance, performance, and trust.
How It Works
- Connect your Snowflake instance: Sifflet automatically scans metadata and query logs.
- Define key data products: tag your most critical dashboards and assign ownership.
- Monitor and triage: detect anomalies with context from lineage and usage data.
- Share insights: feed observability metrics back into your analytics environment.
Customer Impact
From financial services to retail and healthcare, enterprises use Sifflet and Snowflake to eliminate blind spots, reduce mean time to resolution, and strengthen confidence in Snowflake-powered insights.
Explore Sifflet for Snowflake on Snowflake Marketplace and turn your AI Data Cloud into a trusted foundation for innovation.
-p-500.png)
