Schemas & Semantics
- Type and compatibility checks
- Contract verification for renamed or removed fields
- Safe materialization across models
How BoltPipeline Works
You write SQL — or your AI does. From there, the lifecycle takes over: SQL is parsed, validated, certified against your live database, and only then deployed to run. Every stage produces real artifacts. Every gate is enforced.
The 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
Architecture
The Big Picture
A simple, repeatable flow that separates authoring from implementation so teams move faster without sacrificing trust.
1
Author in SQL
Teams express business logic and transformations in plain SQL — the source of truth. No DSLs, no YAML-heavy configs. Optional AI assistance to draft or refine safely.
2
Build & Certify
BoltPipeline analyzes intent, validates correctness, and generates certified pipeline artifacts. 30+ rule validation, column-level lineage, and profiling — before anything ships.
3
Deploy & Operate
Run pipelines directly inside your database. Drift detection, health scoring, and governance continue after deployment. You own runtime and scheduling.
Step 1
Author: Express Business Logic in SQL
BoltPipeline starts where your team already is: SQL. Engineers and analysts describe what the data should mean, not how to wire pipelines by hand.
- Write plain SQL (.sql) files — no DSLs, no proprietary runtime
- Optional hints express intent (materialization, SCD behavior)
- AI assistance drafts or refines SQL grounded in real metadata
- SQL remains the single source of truth — you own every artifact
Step 2
Analyze, Validate & Certify (Shift Left)
This is where BoltPipeline does the heavy lifting. The platform analyzes SQL intent, validates correctness, and surfaces issues before anything ships.
The output is a set of certified artifacts: executable SQL, validation results, lineage, profiles, and audit metadata — portable and customer-owned.
- Schema, type, and contract compatibility checks
- Join correctness and relationship safety validation
- Column profiling and baseline establishment
- Distribution and drift awareness
- Dependency analysis and execution graph generation
- Certified, executable pipeline artifacts output
Step 3
Deploy & Operate in Your Environment
BoltPipeline does not replace your runtime. You deploy and operate pipelines where your data lives.
BoltPipeline provides visibility, safety signals, and governance context — without taking control away from your team.
- Run pipelines directly inside your database
- No data movement outside your boundary
- Artifacts integrate with Airflow, CI/CD, and existing tooling
- Continuous drift detection and impact awareness after deploy
- You own runtime, scheduling, and execution decisions
What Happens at Each Stage
Every stage produces real artifacts and enforces real gates. Nothing is optional.
SQL Compilation
Parse, resolve, generate
- Parse SQL into dependency graph
- Resolve table references and column types
- Generate execution-ready DML
SCD Automation
Tag it. We build the MERGE.
- Auto-generate SCD Type 0, 1, 2 merge logic
- Inject audit columns (created_at, updated_at, etc.)
- Validate natural key and primary key selection
30+ Rule Validation
Hard gate before production
- Schema compatibility and column existence
- Join correctness and cardinality checks
- Type safety and SCD contract enforcement
Column-Level Lineage
Source to target, every column
- Derived from SQL — no manual annotation
- Tracks transformations across every step
- Powers impact analysis and root-cause tracing
Profiling & Baselines
Know your data before you ship
- Push-down profiling inside your database
- Null rates, uniqueness, distributions, cardinality
- Baselines established for drift detection
Drift & Health Scoring
Continuous after deployment
- Schema drift detection on every run
- Volume and freshness anomaly monitoring
- Pipeline health score with root-cause tracing
What the Platform Validates
BoltPipeline continuously validates SQL pipelines as they are implemented and executed — before anything reaches production.
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
Business Outcomes
BoltPipeline reduces pipeline failures, review cycles, and operational overhead — while giving leadership confidence that data products are governed, explainable, and safe to scale.
Speed
Weeks to hours
From SQL to certified, production-ready pipelines
Trust
Built in
Certification gates, lineage, and explainers at every stage
Flexibility
No lock-in
SQL-first, portable ANSI artifacts you own
Cost
In-DB only
No external compute, no data movement, fewer incidents
Compliance
By design
Data stays in boundary with audit-ready evidence
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.