Skip to main content
Goava
ع
Data Quality & Observability

Data quality you can measure, monitor, and prove

The Saudi data economy runs on trusted data. Goava profiles your connected sources on a schedule, applies measurable quality tests, and turns failures into managed incidents — so your teams act on data they can defend.

Request a DemoExplore Connectors

Automated Profiling

Understand your data before you govern it

Goava's profiler scans your connected sources and builds a statistical picture of every table: how many rows it holds, how complete each column is, and, on supported warehouses, when the table last changed. Profiling runs on a schedule through the bundled ingestion service, so the picture stays current as your data changes — and every profile is visible right inside the catalog entry, next to ownership, classifications, and lineage.

  • Table and column statistics: row counts, distributions, and value summaries
  • Null and completeness rates for every column, tracked over time
  • Table-change activity on supported warehouses, showing when each table was last modified

Tests, Contracts & Incidents

From quality checks to accountable resolution

Data quality is not a one-time check — it is an operating discipline. Apply built-in or custom tests to your critical datasets, document SLA expectations in data contracts, and let observability alerts notify the right owner the moment a test fails. Every failure becomes a managed incident with an assignee, a status, and a documented resolution.

  • Built-in and custom quality tests applied per table or column
  • Data contracts that document SLA expectations alongside each dataset
  • Incident management: assign, track, and resolve failures with full history
  • Observability alerts that reach data owners before consumers are affected
Request a Demo

Everything you need for reliable data

Six capabilities that work together to keep your data accurate, documented, and accountable.

  • Automated Profiler

    Statistics, null counts, and table-change activity on supported warehouses, computed on a schedule for connected tables, so you always know the state of your data.

  • Built-in Quality Tests

    A library of ready-made checks covering nulls, value ranges, and row counts — applied in a few clicks.

  • Custom Tests

    Define your own test logic for business-specific rules when the built-in library is not enough.

  • Data Contracts

    Document SLA expectations for each dataset in a data contract, so producers and consumers agree on what reliable means.

  • Incident Management

    When a test fails, open an incident, assign an owner, and track resolution — with full history that supports audits.

  • Observability Alerts

    Notify data owners the moment a test fails, by email, Slack, Teams, Google Chat, or webhook, before downstream dashboards and reports are affected.

Frequently asked questions

Make data quality measurable — and provable

See how profiling, tests, data contracts, and incident management work together on your own data.

Request a Demo