BigQueryData layer

BigQuery development: data warehouses, pipelines and reporting

We design BigQuery datasets, load them from your apps and tools, and keep queries fast and costs predictable. Houst’s property apps search their whole portfolio on BigQuery.

What we build

What we build with BigQuery

Warehouse design

Partitioned, clustered tables modeled around the questions your team actually asks.

Pipelines in

Scheduled loads from your apps, CRM, ads and spreadsheets, with checks on every run.

Apps and AI on top

Retool apps, Data Studio dashboards and Vertex AI features that read straight from BigQuery.

Why Widle

BigQuery that answers quickly and costs what you expect

We pick BigQuery when your data outgrows one database or already lives in Google Cloud. If PostgreSQL covers your volume, we’ll say so.

  1. 01

    Shipped in production

    Houst’s Retool apps search and filter their property portfolio on BigQuery, with scheduled data checks.

  2. 02

    Costs you can predict

    Partitioning, clustering and query reviews, so the monthly bill doesn’t surprise you.

  3. 03

    Right-sized

    If a well-designed PostgreSQL database is enough, we’ll recommend that instead.

BigQuery FAQs

BigQuery or PostgreSQL?

PostgreSQL is enough for most companies. BigQuery makes sense when you analyze large volumes, already run on Google Cloud, or need to join data from many sources.

How do you keep BigQuery costs down?

Partitioned and clustered tables, scheduled queries instead of repeated full scans, and budget alerts on the project.

Can you connect BigQuery to our dashboards?

Yes. Data Studio connects to BigQuery directly, and we also build reporting apps in Retool on top of it.

Thinking about BigQuery?

Tell us what you want it to do. In a free 30-minute call we’ll say whether BigQuery is the right fit and where we’d start.

Official Retool Agency Partner5.0 on Clutch, 8 verified reviewsBuilding software since 2015Reply within one business day