Sifflet

Helps teams detect data issues earlier, understand their impact, and resolve incidents faster with unified monitoring, lineage, cataloging, and AI-assisted troubleshooting.

Identify sensitive-data risks early, control access, and support incident response and compliance audits with end-to-end lineage.

Access implementation, training, consulting, migration, conversion, and integration services as specified in an Order Form or Statement of Work.

Sifflet Data Observability Platform

Sifflet is an AI-native data observability platform that unifies data discovery, monitoring, lineage, and troubleshooting across the data stack. It detects data quality issues, connects technical signals to downstream usage and business impact, and provides context to help teams identify root causes and resolve incidents. Automated and custom monitors cover data assets and pipeline health, while AI agents recommend monitoring, diagnose issues, and suggest fixes. The platform also supports data cataloging, governance workflows, lineage exploration, and integrations with data platforms, orchestration tools, and BI systems.

• Monitor Data Across The Stack
  Monitor data assets and pipelines across multiple layers of the stack, with coverage informed by risk, change frequency, and downstream impact. Adaptive monitoring helps keep pace with evolving data patterns and reduces manual tuning.
• Find Root Causes Faster
  Surface relevant upstream context and failure points, including historical incident information, so teams can move from alerts to investigation and resolution without manually tracing every dependency.
• Prioritize Issues By Business Impact
  Connect technical data quality signals to downstream usage and business consequences so teams can distinguish low-impact changes from issues that threaten important reports, processes, or decisions.
• Detect Anomalies With Less Noise
  Adapt monitoring to evolving data patterns and highlight meaningful anomalies, helping teams reduce false positives and spend less time maintaining static thresholds.
• Trace Data Flows And Assess Impact
  Follow data across sources, transformations, and consumption to understand its origins and identify downstream reports, models, or processes affected by issues or changes.
• Act On Contextual Fix Suggestions
  Use remediation suggestions grounded in historical patterns and incident context to guide teams toward resolving data issues while keeping approval of proposed changes in their hands.
• Find And Understand Data Assets
  Help technical and business users locate data and assess its context, ownership, usage, and suitability through a shared catalog.
• Assess Data Health Continuously
  Show quality and freshness indicators alongside data assets so consumers can evaluate whether data is reliable and up to date.
• Connect Observability Across Your Stack
  Bring data sources, warehouses, orchestration tools, and BI systems into a shared observability view to monitor issues across tool boundaries.
• Coordinate Incident Triage
  Group and prioritize related alerts, clarify incident ownership, and route notifications to configured destinations so teams can organize response around relevant context.
• Manage Monitors As Code
  Create and manage monitoring rules programmatically and keep them version-controlled alongside data transformation workflows.
• Stop Issues Before They Propagate
  Pause pipeline execution when anomalies are found to limit downstream impact while teams investigate.
• Support Governed Data Operations
  Use access controls, audit logs, and single sign-on to support governed access and transparency across observability workflows.
• Find Assets By Context
  Narrow complex lineage views using domains, pipelines, owners, or systems so users can focus on relevant data paths and dependencies.

Built-in Security

Sifflet monitors sensitive data flows, permissions, roles, and access changes across the data stack to surface exposure risks early. It helps teams identify risky cross-boundary data movement, trace sensitive data usage end to end, and support incident response and compliance audits with lineage context.

• Detect Risky Data Flows Early
  Monitor sensitive data movement across pipelines and downstream consumers so teams can identify potential exposure and data leakage before risks escalate.
• Spot Risky Access Changes
  Track access changes, roles, permissions, and access drift across systems to help identify risky access and prevent unauthorized access to sensitive data.
• Prove Compliance With Lineage
  Use end-to-end lineage to trace sensitive data usage and provide evidence for incident response and audits, including GDPR, SOC 2, HIPAA, and ISO.
• Enforce Data Boundaries
  Keep sensitive data separated across domains and environments, while detecting risky cross-boundary movement.

Professional Services

Sifflet provides Professional Services as specified in a Statement of Work or Order Form. These services include implementation, training, consulting, data migration, conversion, and integration.

Category: Software Implementation Services

• Implement Sifflet Applications
  Receive implementation services from Sifflet as specified in a Statement of Work or Order Form.
• Migrate Data
  Receive data migration services from Sifflet as specified in a Statement of Work or Order Form.
• Integrate Systems
  Receive integration services from Sifflet as specified in a Statement of Work or Order Form.
• Train Customer Teams
  Receive training services from Sifflet as specified in a Statement of Work or Order Form.
• Access Consulting Services
  Receive consulting services from Sifflet as specified in a Statement of Work or Order Form.
• Convert Data
  Receive data conversion services from Sifflet as specified in a Statement of Work or Order Form.