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Modern Data Stack Governance

Govern your modern data stack

Liquibase Secure brings governance, control, and auditability to your modern data stack

What is Modern Data Stack Governance?

The modern data stack is built for speed. Tools like Fivetran, DBT, and Snowflake deliver rapid ingestion, transformation, and scale. But database schema changes still happen without control, approvals, or visibility.

Modern Data Stack Governance means applying security, compliance, and automation at the schema layer. It ensures structure changes are safe, tested, and compliant before they go live.

Liquibase Secure brings that governance directly into your pipelines, integrating with CI/CD, enforcing policy before deployment, and recording every change.

The Challenge

  • Schema changes are deployed without pre-checks, causing breakage and drift.
  • Running DDL in DBT is like deploying code without tests, approvals, or tracking.
  • Security and compliance teams lack visibility into structural changes.
  • CI/CD pipelines push application code safely, but database changes remain manual

The Result?

Your data stack moves fast, but without control at the schema layer, it becomes fragile, risky, and impossible to audit.

How Liquibase Secure Helps

Liquibase Secure closes the schema governance gap in your modern data stack.
Unified Governance
Speed with Safety
Trusted Data for AI & Analytics
Pre-deployment policy enforcement
Catch and block risky schema patterns (e.g., DROP COLUMN, exposed PII, missing indexes) before they deploy.
CI/CD and GitOps Integration
Bring database change into the same pipeline as application code for consistent controls and approvals.
Drift and anomaly detection
Continuously compare environments and alert when changes bypass approved workflows.
Tamper-evident audit logging
Get detailed logs of who made what change, when, and why-automatically.
Targeted rollback
Liquibase can be scheduled or triggered to check for changes made outside approved workflows, alerting teams to potential insider actions or shadow deployments.
Multi-database support
Govern changes across Snowflake, Databricks, BigQuery, Redshift, Postgres, Oracle, MongoDB, and more.

How Liquibase Secure Fits in the Modern Stack

Layer
Tools
Role
IngestionFivetran, AirbyteMove data into your warehouse
TransformationDBT, SQLMeshShape data with SELECT logic
StorageSnowflake, Databricks, BigQuery, RedshiftStore and scale your data
OrchestrationAirflow, DagsterSchedule and manage pipelines
GovernanceLiquibase SecureEnforce policy, detect drift, and audit schema change

Business Outcomes

Prevent costly outages by blocking risky schema changes before deployment
Automate audit trails for compliance frameworks like SOX, HIPAA, PCI, and GDPR
Reduce DBA overhead with policy-based automation
Build secure, AI-ready data platforms with confidence

Teams Trust Liquibase to Govern the Stack

Enterprises across finance, healthcare, and SaaS are pairing Liquibase Secure with tools like DBT, Fivetran, and Snowflake to bring missing schema governance into their modern data stack.

Even the most sophisticated pipelines break when schema changes are manual, inconsistent, or invisible. Liquibase Secure solves that by enforcing policy, detecting drift, and creating audit trails, all without slowing delivery.

While transformation and ingestion tools handle the data, Liquibase ensures the structure behind that data is governed, safe, and trusted.
120x
Faster Deployments
95%
Reduction in Risk
100%
Audit-Readiness

Resources to Accelerate Your Modern Data Stack Governance Journey

Explore our guides, blogs, and technical resources built to help teams govern schema change across modern platforms like Snowflake, DBT, and Databricks while keeping delivery fast and reliable.

FAQ

Does DBT handle schema governance?

DBT focuses on data transformation using SELECT statements and can create tables or views as part of its materialization workflow. But it doesn’t manage CREATE, ALTER, or DROP statements with governance in mind. There are no policy checks, drift detection, rollback, or tamper-evident audit logs. That’s where Liquibase Secure fits in.

Can I use Liquibase Secure with DBT and Fivetran?

Yes. Liquibase complements DBT and Fivetran by governing the underlying structure-ensuring tables, columns, indexes, and permissions evolve safely.

What kinds of risks can Liquibase Secure prevent?

Missing indexes, exposed PII, unauthorized changes, dropped columns, and schema drift across environments.

How does this help with AI governance?

AI pipelines depend on reliable structure. Liquibase Secure ensures data models don’t break or drift due to uncontrolled schema changes.

What if we already use CI/CD?

Liquibase Secure integrates with GitHub Actions, GitLab, Azure DevOps, and more-governing database change in the same pipelines as code.

Is this for data teams or DBAs?

Both. Data teams move faster. DBAs retain control. Liquibase Secure empowers both with visibility, automation, and policy.