Docs
  • Overview
  • Get started
  • Quickstart
  • Connector Matrix
  • Database Connectors
  • Warehouse Connectors
  • File & Storage
  • Cloud Services
  • Planned Integrations
  • Bastion Connection
  • Platform Overview
  • Ingestion
  • Data Quality
  • Dashboards
  • Alerts & Notifications
DocsGo to Main pageContact Support
FeaturesPlatform Overview
Go to Main pageMain
Agentic WorkflowsSemantic Layer ReadyReliable and Secure

Built for Governed, Agentic Data Workflows

The Data to Insights platform handles data from raw connection through quality validation, insight generation, and operational activation — all through a unified, queue-driven architecture.

Ingestion

Connect to databases, warehouses, files, and cloud drives through connector-driven onboarding. Validate source access, then run extraction using scalable background jobs.

12 Connectors

Database, warehouse, file, and cloud sources

Async Extraction

Background jobs that don't block the UI

Schema Browsing

Inspect tables and files before extraction

Data Preview

Sample records before committing to full ingest

Data Quality & Insights

Verify schema quality early through preview and metadata inspection. Monitor downstream quality and insight payloads across extraction lifecycle stages.

  • Schema shape validation and completeness checks during preview.
  • Metadata enrichment across all extracted tables and files.
  • Data quality check results surfaced in the dashboard and lineage views.
  • Quality events feed into the alert and notification pipeline.

Dashboards

Pin metrics and charts into persistent dashboard cards so business users can track current state without rebuilding analysis every cycle.

  • Create metric tiles and chart cards from clean, queryable extracted data.
  • Pin cards to persistent dashboards shared across workspace users.
  • Dynamic card generation from governed data outputs.
  • Lineage tracking from source through to dashboard card.

Alerts & Notifications

Convert thresholds and quality events into operational actions. Notifications and delivery history run through resilient worker queues independent of the API path.

  • Threshold-based alerting on metric values and data quality outcomes.
  • Delivery history for all notification events.
  • Worker-queue architecture ensures delivery resilience under load.
  • Email and notification workers run independently from user-facing API paths.

Queue-Driven Processing

Processing is event and queue driven to support scale while keeping user flows responsive. No extraction or notification job blocks the API path.

Extraction jobs run asynchronously through worker queues.

Email and notification workers handle communications independently.

Usage tracking and background tasks avoid API-path blocking.

4-stage pipeline: Ingestion → DQ Checks → Dashboards → Intelligent Actions.

Ready to start? Explore the Connectors guide →

On this page

  • Platform Features
  • Ingestion
  • Data Quality & Insights
  • Dashboards
  • Alerts & Notifications
  • Queue-Driven Processing