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SQL in.
Certified pipelines out.

Certify it. Run it. Monitor it.

Validate SQL against your live database before deploy.

  • 30+ certification rules run against your real schema before deploy
  • Column-level lineage + drift detection generated automatically
  • Your data never leaves your environment — metadata only
BoltPipeline Certification Report — 98% certified, 6/6 steps passed, 30+ rule validation matrix against the live database before deploy.

See it in motion

Plan. Certify. Trace. Run.

One pipeline, the full lifecycle — same SQL all the way through.

console.boltpipeline.ai/design
Design tab: SQL editor showing an INSERT INTO ... SELECT statement assembling fact_order_line from upstream tables.Certification tab: 98% certification report, 6/6 steps passed, rule matrix validating each step against the live schema.Lineage tab: column-level lineage showing line_total flowing into campaign_attributed_revenue, with the ROUND/COALESCE SQL expression visible in each node.Operations tab: DAG view of the pipeline run, 6 steps across 6 layers, 100% completed, 0 failed, with duration and rows trends.
DesignYou write SQL. That's the only input.
SQL scattered across IDEs, repos, dashboards, and ad-hoc scripts — schema changes slip through unnoticed.

The problem

Your pipelines are walking on glass.

SQL lives everywhere — repos, dashboards, ad-hoc scripts.

Nobody sees the full picture. Schema changes slip through. Failures show up in production.

  • SQL is scattered

    Fragments live in dozens of places. No single source of truth.

  • Drift is invisible

    A column drops, a type flips — nobody knows until production breaks.

  • Failures happen too late

    By the time alerts fire, dashboards are wrong and you’re debugging at 3 AM.

The aha moment

See the blast radius before you deploy.

One SQL change shows every impacted pipeline, table, and dashboard — instantly.

  • 3 pipelines break
  • 12 downstream tables impacted
  • Affects production dashboards
Blast radius: one SQL change shows every impacted pipeline, downstream table, and dashboard before deploy.

Continuous monitoring

Changes don’t just come from your code.

Schemas change directly in your database.

We detect it and alert you before your next pipeline run.

  • Detect schema drift instantly
  • See impacted pipelines and dashboards
  • Get alerted before execution
Monitoring UI: schema drift detected, impacted pipelines highlighted, alert fired before next execution.

Why BoltPipeline is fundamentally different

Why BoltPipeline is fundamentally different: validate before execution, one integrated lifecycle, governance that enforces, designed for your environment.

30+ rule engine validates every pipeline against your live database before deploy. Nothing ships uncertified.

Plan → Enrich → Certify → Operate in one system. No stitching. No gaps.

Every table has one certified producer. SCD rules are validated — not documented.

Execution stays inside your warehouse. We see structure, never rows.

One governed system

One asset. Every role. Same truth.

Every role works on the same governed asset — not copies, not extracts, not separate tools.

BoltPipeline as a single source of truth: 8 roles connect to one governed asset — Data Engineer (build certified pipelines), Tester / QA (validate before promotion), Modeler / Architect (define data contracts), Analyst (trace any number to source), BI Developer (build on trusted tables), Operations (monitor and resolve drift), Governance (approve and audit changes), Executive (see system health and risk).

Data Engineer

Build certified pipelines

Tester / QA

Validate before promotion

Modeler

Define data contracts

Analyst

Trace any number to source

BI Developer

Build on trusted tables

Operations

Monitor and resolve drift

Governance

Approve and audit changes

Executive

See system health and risk

No stitching. No silos. One system.

Your data never leaves your environment.

BoltPipeline runs inside your warehouse. Our agent sends only structure and aggregates — table names, column types, distributions. Never row values. Never PII. Never data copies.

Runs in your warehouse

Execution stays inside your database.

Metadata only

Aggregates, schemas, distributions — never row values.

Never PII

No row data. No PII. No data copies leave.

Compliance-ready

HIPAA · GDPR · SOC2-ready architecture

Early adopters

Data teams are already running pilots against their live databases.

We're working with a growing group of teams piloting BoltPipeline across Snowflake and PostgreSQL — from analytics consultancies to mid-market platform teams. Customer references and case details available on request.

Request a customer reference

We didn’t build another tool. We built the platform the AI era forces you to have.

The AI era: AI generates SQL at scale; more changes mean more risk; governance must be real-time and automated; that's why BoltPipeline exists; BoltPipeline brings control & clarity.

When pipelines are generated in seconds, governance has to live in the platform — not in code review, not in conventions, not in tribal knowledge.

Learn about the Enterprise Model
For Your Budget Holders

When your champion has to brief the board.

Every pipeline change, every drift caught, every audit event — rolled up into the metrics your CFO, CIO, CDO, and CISO actually want to see.

BoltPipeline executive scorecard with three perspectives: Financial Impact (CFO view) showing $60K annual savings, 4-to-1 vendor consolidation, zero per-seat tax; Trust & Risk (CDO + CISO view) showing 98.7% pipelines certified before production, 142 drift incidents caught before customer impact, 65 of 77 SOC 2 controls in place; Operational Reliability (CIO view) showing 99.97% platform uptime, 6m 42s mean recovery time, 2.4M audit events logged with 130+ event types. Business outcomes the board cares about: faster decisions, reduced risk, compliance confidence, vendor consolidation, operational predictability. Enterprise-grade foundation: your cloud, metadata only, SOC 2 aligned, tenant isolated, append-only audit, cloud-portable across AWS, Azure, GCP, Snowflake, on-prem, air-gapped.

Stop broken pipelines before they reach production.