cloud Serverless Analytics

Google BigQuery Development

Petabyte-scale analytics with no servers to manage — ask a question in SQL and get an answer in seconds, whatever the data volume.

info What Is BigQuery?

No Servers. No Cluster. Just SQL.

BigQuery is Google Cloud's fully serverless data warehouse. There is no cluster to size, patch or keep running — you load data, write SQL, and Google throws however much compute the query needs at it.

That makes it unusually good for spiky, unpredictable analytics: a query over a petabyte costs the same whether you run it once a month or never. The flip side is that careless SQL scans — and bills — grow fast, which is exactly where good engineering pays for itself.

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Zero Infrastructure

Nothing to provision, patch or scale. There is no cluster, so there's no cluster to get wrong.

speed

Petabytes in Seconds

Massively parallel execution means dataset size stops being the thing that limits your questions.

memory

ML Without Moving Data

BigQuery ML trains and serves models in SQL, right where the data already lives.

auto_awesome Why BigQuery?

Built for Scale & Speed

The capabilities that make BigQuery the default warehouse on Google Cloud.

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Fully Serverless

No nodes, no scaling policy, no maintenance window. Compute appears when a query needs it.

memory
memory

BigQuery ML

Train regression, classification and forecasting models with CREATE MODEL — in plain SQL.

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bolt

Streaming Ingestion

Stream events in and query them within seconds — dashboards reflect now, not last night.

storage
storage

Federated Queries

Query Cloud Storage, Sheets and Cloud SQL in place, without loading them first.

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layers

Partitioning & Clustering

Prune scans so queries read a fraction of the table — the single biggest cost lever.

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Native Looker & Sheets

Business users explore live data in tools they already know, with no export step.

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End-to-End BigQuery Services

From ingestion to a query bill that stays predictable.

architecture
architecture

Warehouse Design

Datasets, partitioning and clustering modelled around how your teams actually query.

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Migration to GCP

Move from on-prem, Redshift or Snowflake with a phased plan and validated parity.

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sync_alt

Data Pipelines

Dataflow, Pub/Sub, Datastream and dbt landing clean, tested data on schedule.

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payments

Cost Control

Slot reservations, scan pruning and query rewrites — the difference between a sane bill and a scary one.

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policy

Governance & Security

IAM, column-level security, masking and audit logs for regulated data.

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leaderboard

BI & ML Enablement

Looker, Power BI and BigQuery ML models wired to a layer the business trusts.

Ready to Query at Any Scale?

Let our engineers build a BigQuery warehouse that answers fast — without the runaway query bill.

help_outline FAQ

Frequently asked questions

What is Google BigQuery? expand_more
BigQuery is the serverless Google Cloud data warehouse that runs SQL analytics over huge datasets in seconds, with no infrastructure to manage and pricing based on storage and query volume.
Can you move our data into BigQuery? expand_more
Yes. We migrate warehouses and databases into BigQuery, build ingestion from files, streams and SaaS tools, and validate the results so your reports stay correct.
How do you keep BigQuery costs under control? expand_more
We partition and cluster tables, avoid full-table scans, use scheduled and materialized queries, and can set flat-rate slots, so you pay for value rather than runaway scans.
Can BigQuery do machine learning? expand_more
Yes. BigQuery ML lets us train and run models with SQL directly on your data, and we can connect Vertex AI and Looker for advanced modelling and dashboards.