BigQuery: Google Cloud's serverless data warehouse
Discover BigQuery, Google Cloud's serverless data warehouse
BigQuery is the serverless data warehouse of Google Cloud, built to analyse massive volumes of data in SQL, with zero infrastructure to manage.
Joining sales, web analytics and CRM data in a single query, feeding a dashboard that is fresh every morning, training a forecasting model without leaving the warehouse: that is everyday life for teams working on BigQuery.
BigQuery is built around four pillars:
From ingestion to reporting, everything happens in the warehouse.
1. Serverless SQL analytics: power without administration
No clusters to size, no servers to maintain: you write SQL, BigQuery does the rest.
- Query massive volumes of data in standard SQL
- Get results in seconds thanks to Google's distributed engine
- Forget infrastructure management, it is entirely invisible
- Control costs with on-demand pricing or reserved capacity
2. Built-in machine learning: BigQuery ML
Models train where the data lives, without moving it.
- Create machine learning models in SQL with BigQuery ML
- Predict churn, sales or segments directly in the warehouse
- Connect BigQuery to Vertex AI for advanced use cases
- Operationalise your scores in reports and dashboards
3. Real time and integrations: always-fresh data
BigQuery is fed continuously from your sources.
- Ingest streaming data for permanently up-to-date analytics
- Connect your sources through native connectors and ingestion tools
- Query external data without copying it
- Structure your transformations with dbt
4. Reporting and BI: analytics for everyone
The warehouse feeds your visualisation tools directly.
- Plug Looker, Power BI or Tableau into your data
- Deliver up-to-date dashboards without manual exports
- Share governed datasets across teams
- Control access precisely, down to rows and columns
Planning a BigQuery project? turnK designs your analytics foundation and connects it to your business tools. Take a look at our Data and AI services or contact us: our consultants reply within 48 hours.
Les questions les plus fréquentes
BigQuery is Google Cloud's serverless data warehouse. It analyses huge volumes of data in SQL, very quickly, without any infrastructure to manage, and includes machine learning capabilities with BigQuery ML.
Companies that want a central analytics foundation without a team dedicated to infrastructure administration. From data-driven SMBs to large enterprises, BigQuery scales from a first dashboard to multi-terabyte workloads.
Large-scale serverless SQL analytics, built-in machine learning with BigQuery ML, streaming ingestion for real time, and native connections to BI tools such as Looker, Power BI or Tableau.
BigQuery is billed on usage: storage on one side, the volume of data scanned by your queries on the other, with a reserved-capacity option for intensive workloads. Up-to-date pricing is available on the official Google Cloud website.
BigQuery is a Google Cloud service, so a GCP account is required. Your data, however, can come from anywhere: CRM, ERP, web tools or internal databases. turnK builds the pipelines that feed your warehouse from your existing sources.
