Snowflake: the elastic data cloud to centralise your data
Discover Snowflake, the data cloud that centralises your data
Snowflake is a cloud data platform that centralises the storage, processing and analysis of your data, with full elasticity.
Its architecture separates storage from compute: analysts run their queries without slowing down pipelines, each team gets its own dedicated power, and you only pay for what runs. The result: a single warehouse feeding reporting, analytics and AI use cases.
Snowflake is built around four pillars:
One foundation to store, transform, share and activate your data.
1. Data warehouse: elasticity in the service of analytics
The heart of the platform: a SQL warehouse that scales on demand.
- Centralise structured and semi-structured data in a single warehouse
- Query your data in standard SQL, with no complex tuning
- Size compute power per team or per workload
- Pay only for the compute you actually use
2. Data engineering: reliable pipelines
Snowflake is not just for analysis: it also hosts your processing.
- Build your ingestion and transformation pipelines
- Develop in Python, Java or Scala with Snowpark
- Automate your workloads with scheduled tasks
- Connect ingestion tools such as Fivetran or Airbyte
3. Collaboration and sharing: data without duplication
Data sharing is native, secure and copy-free.
- Share datasets securely, without duplicating them
- Access third-party data through the Snowflake Marketplace
- Govern access precisely: roles, data masking, auditing
- Collaborate across entities or with partners on the same data
4. AI and applications: your data at work
AI runs where your data lives, without exposing it externally.
- Use AI and LLM functions in SQL with Snowflake Cortex
- Query documents and unstructured data
- Build data applications directly on the platform
- Keep your data in one place, from storage to inference
What about the ecosystem?
Snowflake integrates with the market standards: transformations with dbt, reporting with Power BI or Tableau, and connectors to most enterprise data sources.
Planning a Snowflake project? turnK designs your data platform and puts it to work for the business. Take a look at our Data and AI services or contact us: our consultants reply within 48 hours.
Les questions les plus fréquentes
Snowflake is a cloud data platform that centralises the storage, processing and analysis of company data. Its architecture separates storage from compute, providing high elasticity and usage-based billing.
Companies that want to centralise their data in a single warehouse to power reporting, analytics and AI projects. Data teams value its low administration overhead and its ability to scale.
An elastic data warehouse queryable in SQL, data engineering capabilities with Snowpark, secure copy-free data sharing through the Marketplace, and AI functions with Snowflake Cortex.
Snowflake is billed on usage, based on compute credits consumed and storage volume. Your budget therefore depends directly on your workloads and queries; up-to-date pricing is available on the official Snowflake website.
Both are excellent cloud warehouses. Snowflake is multi-cloud (AWS, Azure, Google Cloud) and stands out for data sharing; BigQuery is native to Google Cloud with a fully serverless approach. turnK helps you choose based on your ecosystem and use cases.
