dbt with Plainsight

Turn the SQL you already write into data you can trust.

dbt makes transformation modular, tested, documented and version-controlled, on the warehouse or lakehouse you already run. It is open-source, it adds no licence, and it runs on Microsoft Fabric and Databricks alike. The result is data the business can act on, delivered faster and at lower cost.

Talk to us See the value

The cost of hand-rolled ETL

Six problems every data team knows.

These are the patterns we see again and again in custom transformation code. Each one quietly taxes trust, speed and cost.

Every change is a gamble

Tangled, hand-rolled ETL means one small edit can break things downstream that nobody saw coming.

One wrong number, lost trust

With no consistent checks, a single bad figure makes every number suspect.

Every question means a rebuild

Over-flattened models answer only what they were built for, so each new question starts from raw.

Nobody knows where trusted data lives

Bronze, silver, platinum, final_v2: with no agreed layers, every team rebuilds its own.

Analysts hunt instead of analyse

No catalog, no owners, no definitions, so people spend more time finding the right table than using it.

You are flying blind

No run history, no alerts: the first sign something broke is an angry email.

What you gain with dbt

Every pain has an answer.

dbt is not another platform to buy. It is a way of working that turns your SQL into a tested, documented, version-controlled asset.

From pain to cure

what hand-rolled ETL costs, and what dbt answers

the whole story

Every change is a gamble Modular, version-controlled models you can review and revert

One wrong number and trust is gone Tests that fail loudly before bad data lands

Every new question means a rebuild Layered models you query, not re-model

Nobody knows where trusted data lives One agreed bronze, silver, gold contract

Analysts hunt instead of analyse An auto-generated catalog with lineage

You are flying blind on reliability Run results, logs and alerts on every build

dbt does not add a tool to learn. It adds discipline to the SQL you already write.

For business

Trusted numbers backed by tests, a searchable catalog and lineage you can follow, and reliability you can prove, so the business acts on data it can stand behind.

For data teams

Modular, tested models with one agreed layering, incremental runs that spend compute only on what moved, and safe versioning of shared models.

Platforms

dbt generates SQL that runs on the warehouse or lakehouse you already own, the same project targeting Microsoft Fabric or Databricks.

Runs on what you already have

Tool independent, by design.

dbt generates SQL that runs on your platform; it does not move or own your data. dbt Core is open-source and free to run. The same project targets Microsoft Fabric or Databricks, so the way your team works does not change when the platform does.

dbt on Fabric dbt on Databricks How a dbt project is built

Where is your transformation layer today?

Let's make your data trustworthy.

Tell us how your team builds data today, and we will show you what dbt would change.

Talk to us