Algoscale is a dbt Labs Partner

We build tested, documented dbt transformation layers for US enterprises — from moving stored procedures and legacy SQL into dbt to metric definitions every BI tool agrees on, on the warehouse you already run.

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Certified

dbt Labs Partner

Trusted by data and AI teams at

400+Data & AI deployments

150+Projects delivered

12+Years in business

85%Client retention

What our dbt Labs partnership means for you.

As a dbt Labs Partner, Algoscale builds transformation layers in dbt as modular SQL models that live in version control, are tested on every change and are documented as they are built. For you, it means business logic in reviewed code, not in stored procedures and manual spreadsheet steps.

We're also Snowflake, Databricks, Microsoft and AWS partners, so we run dbt on the warehouse you already have instead of asking you to move.

Tested before it ships

Schema, uniqueness and relationship tests run on every pull request.

Logic your team can own

Models, docs and lineage live in Git, so your analysts can maintain them after handover.

Runs on your warehouse

Snowflake, Databricks, Amazon Redshift or Microsoft Fabric.

dbt consulting services.

From dbt project setup and legacy SQL migration to testing, metrics and CI/CD, these are the dbt services we deliver.

dbt Project Setup & Implementation

A dbt project laid out in staging, intermediate and mart layers, with environments, naming rules and CI in place from the first model.

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Legacy SQL Migration to dbt

Turn stored procedures, views and hand-run SQL scripts into version-controlled dbt models, reconciled against the old output.

dbt
Redshift
SQL Server

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Data Testing & Quality

Schema, uniqueness and relationship tests plus source freshness checks that catch bad data before it reaches a dashboard.

dbt tests
Source freshness

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Metrics & BI-Ready Models

Mart models with one definition of each business metric, so every dashboard reports the same revenue, margin and conversion numbers.

dbt
Power BI
Tableau

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Orchestration & CI/CD

Scheduled runs, pull-request checks and separate development and production environments, with alerts when a model fails.

dbt
Airflow
GitHub Actions

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dbt on Your Warehouse

Models built for the platform you already run, using its own performance and cost patterns.

Snowflake
Databricks
Redshift
Fabric

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Built for US enterprises.

We build dbt transformation layers for US enterprises. Here is what that means in practice.

Your data stays in your warehouse

dbt runs its SQL inside your own Snowflake, Databricks, Redshift or Fabric account, in the cloud and region you choose, including US regions.

Numbers that reconcile

For OH Partners, we rebuilt legacy Redshift reporting as layered dbt models and reconciled it metric by metric, reaching 100% alignment on validated Facebook spend, conversions and device-level metrics.

Works with the tools your team already uses

Airflow, Power BI and Tableau connect to the dbt models, so your analysts and engineers keep the tools they already know.

dbt customer stories.

A real dbt project we have delivered, from legacy Redshift views to tested, layered models, with the results our client achieved.

Marketing & advertising

Paid media analytics rebuilt on Snowflake and dbt for OH Partners

OH Partners' reporting ran on legacy Redshift masterviews. We rebuilt it as a modular Snowflake and dbt architecture covering spend, conversions, device-level performance and attribution across Facebook, Google Ads and Reddit, reconciled metric by metric.

100%alignment on validated spend and conversions

~40%less debugging and change effort

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Hear From our Clients.

Clients share what it was like to work with Algoscale, in their own words, through video testimonials and verified reviews.

Video testimonial

I’ve been tremendously impressed by their knowledge, skills and professionalism.

Neeraj and Algoscale enabled Perceptronix and my clients have the cutting edge solutions they need to solve the very real problem that they have. We really enjoy working with their development team — our projects are always well defined and managed by project leaders.

5.0

John TepperPerceptronix Ltd

IndustryMachine learning

LocationUnited Kingdom

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dbt partnership FAQs.

Answers to common questions about our dbt Labs partnership, how we run dbt, supported warehouses, migration, testing and support after go-live.

It means Algoscale is a partner of dbt Labs, the company behind dbt. Our engineers build dbt projects in production, from layered models and tests to CI/CD and documentation.

Algoscale sets up dbt projects, migrates stored procedures and legacy SQL into dbt, builds data tests and source freshness checks, defines shared metrics, sets up orchestration and CI/CD, and supports dbt projects after go-live.

Our delivered dbt work runs on dbt Core, scheduled with Airflow and tested in CI with GitHub Actions. If your team already uses dbt Cloud, the same project structure, tests and review process carry over.

Snowflake, Databricks, Amazon Redshift and Microsoft Fabric. For OH Partners, we rebuilt legacy Redshift reporting as dbt models on Snowflake.

Yes. We map the existing logic, rebuild it as layered dbt models and reconcile the new output against the old, metric by metric. For OH Partners, that reached 100% alignment on validated Facebook spend, conversions and device-level metrics, and cut debugging and change effort by about 40%.

We add schema, not-null, uniqueness and relationship tests plus source freshness checks, and run them in CI on every pull request, so a broken model is caught before it reaches production.

It depends on the number of sources and how much undocumented logic sits in the current SQL. Priority models usually reach production first, in weeks, and the rest follow in phases. Our engagement estimator gives a week-range in two minutes.

Yes. We monitor runs and test failures, tune slow models, add new sources and metrics, and review pull requests as your team takes over more of the work.