Data Context Platform

Your data changed.
Decube tells you
exactly why.

Connect lineage, quality monitoring, and business context. Know what broke, what it affects, and who is responsible - before your downstream teams notice.

3 min

Average time to root cause

100%

Column-level lineage coverage

50+

Native integrations

<5 min

Setup time

Decube Platform in Use

Jatin Solanki, CEO & Co-Founder

Built after watching a $2M pipeline failure go undetected for three days.

What We Do

Data Context Platform

Full observability for every table, column, and pipeline

Decube maps every relationship between your data assets - from raw ingestion to BI dashboards. When something breaks, you see exactly which upstream source caused it, which tables are affected downstream, and which team owns the fix.

We built Decube because lineage tools showed you the graph but not the business context, and data catalogs stored metadata but not live quality signals. Decube combines both.

Explore the Platform
Column-level lineage

Track every transformation from source to dashboard

Live quality alerts

Catch schema changes and row count drops before they cascade

Platform

Four pillars of data context

Decube combines the tools your data team actually needs into one connected platform.

Data Lineage

Automated column-level lineage across Snowflake, BigQuery, dbt, Airflow, and Fivetran. No manual mapping. No YAML configuration. Connects in under 5 minutes.

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Data Quality Monitoring

Define quality rules on any table - row counts, null rates, value distributions, schema changes. Get Slack or PagerDuty alerts within 60 seconds of a breach.

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Business Glossary

Link technical columns to business definitions. When finance asks what "revenue" means in the orders table, Decube shows the exact transformation logic and who certified it last.

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Data Ownership

Every table and column has an owner. When a pipeline breaks at 2am, Decube pages the right engineer, not the whole data team. Ownership syncs from your existing directory.

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Integrations

Works with your existing stack

Connect Decube to your warehouse, transformation layer, and orchestration tools in minutes - not weeks.

Snowflake

BigQuery

dbt

Airflow

Fivetran

Databricks

How It Works

From connection to context in three steps

01
Connect

Connect your warehouse

Authorize read-only access to Snowflake, BigQuery, or Redshift. Decube pulls query logs, schema metadata, and row statistics. No agents. No code changes.

02
Map

Lineage builds automatically

Within 10 minutes, Decube constructs a full column-level lineage graph. Every dbt model, every Airflow task, every Fivetran connector appears in the map.

03
Monitor

Get alerts that mean something

Set quality thresholds. When a table violates them, Decube sends an alert showing the root cause, the downstream impact, and the team who owns the fix.

Stop debugging pipelines blind

Decube gives your data team complete context - not just an alert that something broke.