Know Your Data from Every Dimension.
Build Data Pipelines at AI Speed.

BoltPipeline captures how your data changes, how it relates, and what design patterns it needs — then builds certified, governed pipelines across the entire data path to production. Seven pillars. One platform. Your business rules, our engine drives.

See It on Your Data See How It Works

Governance Built InApproval WorkflowsCertification GatesIn-DB Operations

Your Business Rules. Our Engine Drives.

SQL business rules converted into certified, production-ready data pipelines

Validation Rules per Pipeline

Uncertified Deploys

Platform, Not 3-4 Tools

100%

In-Database Execution

The Data Path to Production Is Still Broken.

AI writes the SQL in seconds. But discovery, cataloging, validation, lineage, approvals, drift detection, and operations? That's still manual and fragile. BoltPipeline covers the full data path — seven pillars, one platform.

Transform

SQL compilation + SCD

Govern

Certify + approve + audit

Operate

In-DB, observed, secured

Auto-Discover. Design with AI. Certify & Operate.

Your agent catalogs 80+ metadata fields from your live database. AI accelerates your design. You validate and certify. Nothing reaches production without your approval.

Auto-Discover

Your agent connects to any warehouse and catalogs columns, types, keys, relationships, PII, and data quality — 80+ structured fields per table, refreshed every run.

AI-assisted pipeline design with human review

You Design with AI

AI suggests SCD strategies, flags modeling mistakes, recommends joins, and detects PII — grounded in real metadata, not guesswork. You review and decide.

Certify and operate production pipelines

Certify & Operate

Plan → Certify → Operate. Profiling validates, health scores compute, drift baselines establish. You certify. Model versions lock. Nothing reaches production uncertified.

Learn more about how it works →

What Only BoltPipeline Does

These capabilities don't exist in any other single platform. They're why teams switch.

SQL-to-Pipeline Compilation

Submit SQL business rules, get deployment-ready artifacts. Automatic dependency resolution, SCD logic generation, lineage computation, and validation — no other platform does this.

SCD Automation

Slowly changing dimensions fully automated. Change detection, merge logic, and audit columns — all generated from a single tag. What takes teams weeks, BoltPipeline does in seconds.

Column-Level Lineage

See exactly which source columns flow into which targets, across every step. Derived directly from your SQL — no runtime tracing, no manual annotation, always up to date.

Explore all 25+ features →

Only in BoltPipeline

360° Pipeline Lifecycle

Build, validate, deploy, monitor, explain, fix — one continuous loop. To get this from other vendors, you'd need at least 3–4 separate products, 3–4 contracts, and 3–4 dashboards. BoltPipeline does it all in one platform, on one screen.

Automatic Dependencies

Upload up to 50 SQLs per pipeline. BoltPipeline automatically computes every dependency — no manual wiring, no YAML orchestration files. You see parallel vs. sequential execution at a glance.

Instant Root Cause

When a step fails, see exactly why — schema drift from an upstream change, volume anomaly, missing column, or SCD integrity issue. No guesswork. No log diving across separate tools.

Single Pane of Glass

Lineage, execution status, drift alerts, and dependency graphs — all in one view. Operators and developers see through the same lens. No context-switching between dashboards.

Pre-Deploy Certification

Every pipeline is validated against your live database before deployment. Nothing ships without passing structural, contract, and SCD readiness checks. Hard gate — not a warning.

Continuous Feedback Loop

Each cycle feeds the next. Profiling results inform drift detection. Drift events update health scores. Health scores gate deployment. Every run makes the next run smarter.

Full Transparency

Everyone sees the same thing — operators, developers, compliance. No hidden state, no tribal knowledge. The entire pipeline lifecycle is visible, explainable, and auditable.

To get this from other vendors, you need a pipeline tool + an observability tool + a lineage catalog + manual orchestration. That's 3–4 products, 3–4 integrations, 3–4 dashboards — and you still can't see operations, lineage, and drift in the same view. BoltPipeline gives you the full 360° on one screen.

One Platform Replaces Three

Stop stitching together transformation, observability, and governance tools. BoltPipeline covers the full lifecycle.

Capability	Old Way	BoltPipeline
Pipeline compilation & SCD	Transformation tool	Built in
Observability & drift	Separate observability tool	Built in
Column lineage	Add-on / catalog tool	Built in
Approval tollgates	Manual / none	Every promotion
Continuous monitoring	Separate tool	Built in
Vendor lock-in	Proprietary formats	Open artifacts — take your work and leave
Vendors required	3–4	1
Typical annual cost	$66K–$150K+	Under $5K
Your data exposed?	Yes	Never

Based on publicly available documentation as of March 2026. Actual capabilities and pricing vary by vendor plan and configuration.

See Full Comparison

Seven Pillars. One Platform.

Transformation, orchestration, data quality, catalog & metadata, observability, governance, and security — all built into the data path. Not stitched together from separate tools.

Transformation

SQL in. Certified pipelines out.

Compiles SQL into execution-ready pipelines
Automates SCD Type 0, 1 & 2 merge logic
Generates ANSI SQL artifacts you own

Data Quality (Certification)

Nothing ships uncertified.

16-rule engine validates against your live DB
Checks schema, joins, types, SCD integrity
Hard gate — blocks deploy until green

Orchestration (Operate)

Schedule. Deploy. Execute.

Dev → Int → Prod lane promotion
DAG-parallel execution inside your DB
Automated scheduling & deployment

Catalog & Metadata (Discovery)

Know everything. Expose nothing.

Auto-generated column-level lineage
In-DB profiling — we see aggregates, never rows
PII detection & classification

Observability

See it before it breaks.

Continuous schema drift detection
Volume & freshness anomaly monitoring
Pipeline health scoring with root-cause tracing

Security

We see the flow. Never the data.

Per-agent mTLS with X.509 certificates
Credentials never leave your network
All execution inside your database

Governance

Earn your way to production.

Tollgate approvals & role-based access
Certification gates at every promotion
Full audit trail on every change

Rows ever exposed

Platform pillars

100%

In-DB execution

Full

Audit trail

Learn about our security model →

Enterprise Model

Metadata Without Enforcement Is Just Documentation

Any catalog tool can label a table as SCD Type 2. Only BoltPipeline will stop a pipeline from violating that classification — at certification, before it reaches production. In the AI era, where pipelines are generated in seconds, the platform has to be the governor.

The AI era problem

Your team can generate 10 pipelines before lunch. Can your governance keep up?

In the pre-AI era, one developer deliberately built one pipeline. Conventions and code review were enough — the surface area was small. Today, AI generates SQL in seconds. Multiple teams use AI agents simultaneously. Pipelines multiply. And without platform-level enforcement, they silently compete: two pipelines claiming to produce the same table, each with a different SCD strategy, neither aware of the other. The old answer — tribal knowledge, conventions, manual review — does not scale with AI speed. Governance has to move into the platform.

Convention→Certification rule

"We agreed SCD Type 2 tables don't get overwritten" → "This pipeline fails certification because it violates the table's SCD contract."

Tribal knowledge→Platform metadata

"Ask Sarah which pipeline owns dim_customer" → "The Enterprise Model shows the certified producer, last version, and all consumers — instantly."

Post-incident discovery→Visible before you build

"We found out two pipelines were writing to the same table after the production failure" → "The Enterprise Model shows the existing certified producer before you write a line of SQL."

Three things the platform does — not your team

Governance that lives in the platform, not in people's heads or team conventions.

Every table has a known certified producer

Visible, tracked, unambiguous

BoltPipeline records which certified pipeline writes to each table. Before anyone — developer or AI agent — builds a new pipeline targeting that table, they can see who already owns it. Conflicts surface as design decisions, not production incidents.

SCD type is validated at certification

Fails certification if violated

When a table is classified as SCD Type 2, any pipeline writing to it is checked at certification for conformance. A pipeline producing overwrite (Type 1) semantics against a Type 2 table does not pass. The catalog classification is the contract — validated before production.

Certified SQL is immutable

No runtime modifications

Once certified, the SQL is locked. No hotfixes, no silent edits in production. Any change requires a new version and a new certification cycle. What passed in Development is exactly what runs in Production — always.

Every table knows its lineage

The producer/consumer graph is derived automatically from pipeline certifications — not from manual annotation. It cannot go stale because it is generated from the same certifications that enforce the rules above.

One producer

Tracked

Each managed table has one certified pipeline recorded as its producer. Any team building a new pipeline can see this before they start — eliminating silent competition between pipelines.

All consumers tracked

Automatic

Every pipeline that reads from a table is recorded as a consumer at certification time. When the table changes, you see the complete downstream blast radius instantly.

Impact analysis

Before you certify

Change a table's SCD type, rename a column, or swap the producer pipeline — BoltPipeline shows every affected downstream consumer before any change is certified.

Coverage map

Inventory

See what is actively governed, what is orphaned (no active producer), and what raw data exists that no certified pipeline is transforming — your unmined analytics opportunity.

This is what we mean by enterprise governance. Not a label on a table. Not a convention your team is supposed to follow. Not a separate catalog tool you buy, integrate, and maintain. Governance baked into the platform — enforced at every certification, tracked in every table, visible on one screen.

How the Enterprise Model works →

Myth Buster

Connecting AI to Your Database Isn't Enough

AI can connect to your database — that's easy. But all it sees is table names and column types. Without structured metadata — column roles, SCD strategies, PII classifications, data quality scores, relationship cardinality — AI guesses. Confidently. Incorrectly.

What AI gets from a raw database

✗ Table names: dim_customer
✗ Column names: id, email, status
✗ Data types: varchar, integer, date
✗ No context. No quality. No relationships.

Result: hallucinated SQL that looks right but isn't.

What AI gets from BoltPipeline

✓ Column roles: primary key, foreign key, business key
✓ SCD strategy: Type 0, 1, or 2 with tracking columns
✓ PII classifications, data quality scores, health scores
✓ Relationship cardinality, lineage, drift baselines

Result: correct SQL, first time. 80+ fields of context.

AI Suggests

Using 80+ real metadata fields, AI drafts transformations grounded in your actual data model — SCD logic, joins, masking, lineage.

You Validate

Review through ER diagrams, column-level lineage, drift reports, and health scores. You decide what moves forward.

PCO Certifies

Plan → Certify → Operate. Profiling validates, model versions lock, audit trails record. Nothing ships uncertified.

We bring clarity to your data model. We never see your data. Our agent sends structure and statistics — table names, column types, null rates, uniqueness scores. Never row values. Never PII content. Never data previews. The same rich metadata that gives you clarity powers AI to build better analytics at scale. Other agents run in your VPC but still move data. Ours doesn't.

Built for Regulated Industries

Utilities & EnergyHealthcareBanking & FinanceMedia & TelecomGovernment & FederalData Apps & Analytics

HIPAA · GDPR · PCI · Data Residency — met by architecture, not policy.

Innovation Driven by Real Problems

Data is self-changing. AI is rewriting the lifecycle. The old playbook can't keep up. Here's how we're rethinking data pipelines from the ground up.

Cross-DatabaseAIPlatformIndustry

Cross-Database Intelligence: See What's Redundant Across Your Databases — and What to Do About It

Your data lives across multiple databases. The same customers, orders, and products exist in different places — slightly different names, slightly different types. Until now, finding those overlaps meant months of manual analysis. Here's how BoltPipeline changes that.

AIPlatformIndustry

Data Analytics at AI Speed — and Why Connecting AI to Your Database Isn't Enough

Everyone says AI will revolutionize data analytics. But here's what nobody tells you: connecting AI to your database is easy — getting it to produce correct results is the hard part. Without structured, curated, human-validated metadata, AI is just guessing with confidence. Here's how BoltPipeline makes AI-powered analytics actually work — at speed, with trust.

IndustryGovernancePlatform

Lineage Without Operations Is Just a Diagram

Standalone lineage tools draw beautiful graphs. Catalogs tag columns with business glossaries. But when something breaks at 2 AM, nobody opens the catalog. They open the tool that runs the pipeline. That's the problem — and the opportunity.

View all insights →

New Capability

Cross-Database Intelligence

The same customers, orders, and products exist across multiple databases — different names, different types. Finding those overlaps used to take months. BoltPipeline detects duplicates, scores similarity, and generates migration plans with column-level mappings — in days, not months.

🔍Detect duplicates across databases

💪Cut redundant storage and compute

🚀Migrate with automated DDL and type mappings

✅Reconcile data integrity before and after

Read the Deep Dive →See Capabilities

How It's Different

🔍Similarity detection — compares structures, names, and types across databases

🧠AI semantic matching — resolves “cust_id” vs. “customer_identifier” automatically

📊Profile-driven scoring — cardinality and distributions confirm matches beyond names

💰Cost optimization — find duplicate storage and compute you didn't know about

⚡ How It Works

1Profile→2Score→3Resolve→4Migrate

🌟 Months of analysis → Days. Manual spreadsheets → Automated. Guesswork → Data-driven migration plans.

Roadmap

Data Loading — governed data ingestion into your warehouse with the same certification and audit trails you already trust. Today we handle transformation; loading is next.