One platform. Every piece of data context.
Lineage, quality monitoring, business glossary, and ownership - connected so that an alert on one table immediately shows you the full blast radius.
Column-level lineage. Automatically.
Most lineage tools show you table-to-table dependencies. Decube goes one level deeper. Every column transformation - through dbt models, stored procedures, and Python jobs - is mapped and visible.
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Automated discovery - Decube reads query logs directly. No YAML to write. No code annotations required.
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dbt integration - Parses dbt manifests natively. Column tests appear in the lineage graph alongside runtime metadata.
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Impact analysis - Before changing a column, see every downstream report and dashboard that will be affected.
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Cross-platform - Spans Snowflake, BigQuery, Redshift, Databricks, and your BI layer in one unified graph.
Know when data is wrong. Not when someone complains.
Decube monitors row counts, null rates, value ranges, and schema changes across your tables on a configurable schedule. Breaches trigger alerts with full lineage context - not just "table X has a problem."
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ML-based anomaly detection - Learns your tables' normal patterns. Alerts on true anomalies, not expected variance.
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Schema change detection - Catch column additions, type changes, and deletions before they reach downstream consumers.
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Slack and PagerDuty routing - Alerts go to the channel or on-call rotation that owns the table, not a generic data-alerts inbox.
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Custom rules - Write SQL-based assertions for domain-specific checks that generic monitors cannot handle.
One definition of "revenue." Across every team.
Data teams spend hours explaining what a column means. Finance teams argue about metric definitions. Decube's glossary links business terms directly to the columns they describe, with certification history and ownership.
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Linked to lineage - Business terms connect to actual columns, not to documentation that goes stale.
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Certification workflow - Data stewards approve definitions. Every change is versioned and attributed.
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Searchable catalog - Analysts find any column, term, or dataset through a single search interface.
Every table has an owner. Every alert reaches them.
When a quality breach fires at 2am, the alert goes to the engineer responsible for that table - not the entire data team. Ownership assignments sync from LDAP, Okta, and GitHub team definitions.
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Directory sync - Pulls team structure from Okta or LDAP automatically. No separate user management.
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Inherited ownership - Set ownership at the schema level. Tables inherit automatically unless overridden.
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SLA tracking - Define freshness SLAs per table. Decube tracks compliance and escalates when SLAs are missed.
50+ integrations. One setup.
Decube connects to your warehouse, transformation layer, orchestration, and BI tools through OAuth or service account tokens.
Snowflake
BigQuery
Redshift
Databricks
dbt Core
dbt Cloud
Apache Airflow
Fivetran
Tableau
Looker
Power BI
Slack
Ready to see the full picture?
Book a 30-minute demo. We will show you your own data lineage graph on the call.
Book a Demo