You define
- Business rules and transformations
- Metrics and analytical logic
- What the data should represent
The BoltPipeline Platform
The data path from SQL to production is still manual and fragile — even when AI writes the SQL in seconds. BoltPipeline governs that entire path across seven pillars: validation, lineage, profiling, certification, approval workflows, drift detection, and operations. One platform. Nothing reaches production without earning it.
What Is BoltPipeline?
BoltPipeline takes SQL — written by your team or generated by AI — and turns it into a validated, certified, governed data pipeline that runs directly inside your database.
The platform automates the work between SQL authoring and production: validation, lineage, drift detection, approval workflows, certification gates, and operations — without moving data or introducing proprietary runtimes.
How the Platform Works (30,000-Foot View)
You write SQL. The platform handles compilation, validation, lineage, and deployment.
1
Author SQL business rules
2
Analyze structure, semantics, and dependencies
3
Profile data and establish baselines
4
Validate changes and detect drift with impact
5
Generate certified, executable pipeline artifacts
What You Define — What the Platform Automates
You own business logic. BoltPipeline owns the engineering path to production.
BoltPipeline automates
- Schema & join validation
- Profiling and statistical baselines
- Drift detection with blast-radius analysis
- Certification gates and approvals
- Executable, production-ready pipeline artifacts
Validation & Certification Built Into the Platform
BoltPipeline continuously validates SQL pipelines as they are implemented and executed — before anything reaches production.
This includes schema checks, join safety, profiling, lineage, drift detection, certification gates, and downstream impact — all enforced consistently by the platform.
What the platform validates
Schemas & Semantics
- Type and compatibility checks
- Contract verification for renamed or removed fields
- Safe materialization across models
Joins & Relationships
- Join correctness and duplication safeguards
- Detection of unsafe join patterns
- Guided remediation suggestions
Data Profiling
- Completeness and uniqueness baselines
- Range, length, and distribution tracking
- Trend awareness over time
Drift & Impact
- Schema and data drift detection
- Downstream blast-radius analysis
- Change explainability before deploy
Agent + Command Center Architecture
The BoltPipeline Agent runs inside your environment, close to your data. It implements and executes pipeline artifacts derived from SQL.
The Command Center coordinates validation, certification, governance, and visibility using metadata and operational signals — while your data never leaves your boundary.
- In-database execution
- Scheduler-agnostic (Airflow, Dagster, etc.)
- Portable, ANSI-compliant artifacts
- No vendor lock-in
See It on Your SQL
Walk through a real pipeline using your schemas and business rules — no migration, no lock-in, no data leaves your database.