Question 1

What is BoltPipeline?

Accepted Answer

BoltPipeline is a control plane for SQL-based data pipelines. It helps teams turn declarative SQL into production-ready, governed pipelines by validating logic, detecting drift, generating lineage, and producing deployable artifacts — all without moving or hosting customer data.

Question 2

What is the BoltPipeline Agent?

Accepted Answer

The BoltPipeline Agent is a lightweight, customer-deployed component that analyzes SQL pipelines inside your environment. It parses SQL, profiles data, validates contracts, detects schema and data drift, and generates artifacts such as DDL, lineage graphs, and execution plans.

Question 3

How does BoltPipeline turn SQL business rules into an automated data pipeline?

Accepted Answer

BoltPipeline treats SQL as a declarative specification of business intent rather than just executable code. From a single SQL definition, the BoltPipeline Agent analyzes structure, contracts, and data characteristics to automatically generate a complete, governed pipeline, including validation rules, drift detection, lineage, and deployable execution artifacts.

Question 4

Is BoltPipeline a no-code or low-code data pipeline tool?

Accepted Answer

BoltPipeline is best described as SQL-first and automation-driven rather than no-code. Teams continue to write SQL to express business rules, while BoltPipeline eliminates the need to manually build validation logic, orchestration glue, schema enforcement, and lineage tracking.

Question 5

Does BoltPipeline move or store customer data outside my environment?

Accepted Answer

No. BoltPipeline does not move, store, or host customer data. The Agent runs inside your environment, and only metadata and analysis results such as lineage graphs, validation outcomes, and summaries are shared with the BoltPipeline control plane. Raw data, query results, and credentials never leave your environment.

Question 6

Does BoltPipeline execute production ETL or ELT jobs?

Accepted Answer

BoltPipeline is designed as a control plane for data pipelines, with execution capabilities evolving over time. Today, it focuses on pipeline intelligence such as validation, drift detection, lineage, and artifact generation, while execution continues to run through existing orchestration tools.

Question 7

How does BoltPipeline integrate with Airflow, dbt, or other orchestration tools?

Accepted Answer

BoltPipeline works alongside existing orchestration tools. It analyzes SQL pipelines and generates validated artifacts that can be executed by tools such as Airflow, dbt, Dagster, or native database schedulers, enabling incremental adoption without changing execution infrastructure.

Question 8

What artifacts does BoltPipeline generate from my SQL?

Accepted Answer

From a single SQL pipeline definition, BoltPipeline can generate actionable DDL, SQL for SCD handling and audit enforcement, structured pipeline plans and manifests, lineage graphs, and profiling and validation summaries designed for review, versioning, and execution.

Question 9

How does BoltPipeline detect schema or data drift?

Accepted Answer

BoltPipeline detects drift by analyzing SQL intent and comparing it against observed data structures and metadata at analysis time. This allows teams to identify mismatches such as missing columns, incompatible types, and structural changes early, before pipelines are promoted or scheduled.

Question 10

How quickly can teams see value from BoltPipeline?

Accepted Answer

Most teams see value within days. BoltPipeline can be introduced incrementally, starting with a small number of critical pipelines, without requiring changes to existing execution or orchestration systems.

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