We're excited to be investing in four key areas: enhancing our product roadmap, expanding our AI-powered capabilities, growing our North American presence, and accelerating hiring across teams. These efforts will help us continue leading in cloud data observability and better serve our growing customer base.

Real-time metrics are essential for proactive data pipeline monitoring. Sifflet’s observability tools provide real-time alerts and anomaly detection, helping teams quickly identify and resolve issues before they impact downstream systems or violate SLA compliance.

When you click on a Fivetran connector node in the lineage, you’ll see key metadata like source and destination, sync frequency, current status, and the timestamp of the latest sync. This complements Sifflet’s existing metadata like owner and last refresh for complete context.

Effective data categorization is essential for data governance and compliance because it helps identify sensitive data like PII, ensuring the correct protection policies are applied. With Sifflet’s classification tags, governance teams can easily locate and safeguard sensitive information, supporting GDPR data monitoring and overall data security compliance.

Sifflet uses machine learning to power anomaly detection across your data ecosystem. Instead of relying on static rules, it learns your data’s patterns and flags unusual behavior—like a sudden drop in transaction volume. This helps teams catch issues early, avoid alert fatigue, and focus on incidents that actually impact business outcomes. It’s data quality monitoring with real intelligence.

Absolutely! Observability tools can support GDPR compliance by enabling faster incident response automation. If there's a data breach, you need to notify users and authorities within 72 hours. Real-time alerts, telemetry instrumentation, and logs management help your team detect issues quickly, understand the impact, and take action to stay compliant.

If your team struggles with delayed dashboards, inconsistent metrics, or unclear data lineage, it's likely time to invest in a data observability solution. At Sifflet, we even created a simple diagnostic to help you assess your data temperature. Whether you're in a 'slow burn' or a 'five alarm fire' state, we can help you improve data reliability and pipeline health.

Sifflet Insights offers features like real-time alerts, incident tracking, and access to metadata through your Data Catalog. These capabilities support proactive data quality monitoring and streamline root cause analysis when issues arise.