BoltPipeline logo
Platform

The BoltPipeline Platform

BoltPipeline is built for teams who already know what they want to build — but don’t want to spend weeks wiring together fragile data pipelines.

You define business rules in SQL. BoltPipeline takes responsibility for the rest: validation, correctness, governance, and safe execution.

BoltPipeline is a SQL-first data pipeline platform that transforms SQL business logic into validated, certified, production-ready data pipelines — executed directly inside your database.

Teams continue writing SQL. BoltPipeline automates validation, lineage, drift detection, execution planning, and certification — without moving data or introducing proprietary runtimes.

From SQL business rules to certified pipelines

How the Platform Works (30,000-Foot View)

  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

No DSLs. No YAML sprawl. No black boxes. Just SQL — backed by automation.

What You Define — What the Platform Automates

You define

  • Business rules and transformations
  • Metrics and analytical logic
  • What the data should represent

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.

Pipeline validation overview

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
BoltPipeline platform architecture

Turn SQL into Production-Ready Data Pipelines — Faster and Safer

SQL-first pipelines, validated and governed — executed directly inside your database.

No new DSLs. No fragile orchestration. Just SQL with built-in validation, lineage, and governance.