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Data Platforms
Clean, connected, cloud-native data infrastructure built to scale and built to last.
Clean, connected, cloud-native data infrastructure built to scale and built to last.
FAQs
A cloud-native data platform is infrastructure built specifically for cloud environments (like BigQuery, Snowflake, or Databricks) rather than adapted from on-premise systems, giving you elastic scaling and pay-for-what-you-use pricing. You likely need one if your team is manually pulling reports from multiple tools, your spreadsheets take hours to update, or you're making decisions on data that's more than a day old.
A data platform centralizes and cleans your data before it reaches any reporting tool, while spreadsheets and standalone BI tools each work from their own disconnected copy of the data. Without a platform layer, every team ends up with a slightly different number for the same metric. A data platform fixes that at the source.
A data warehouse (like Snowflake or BigQuery) stores structured, query-ready data; a data lake stores raw, often unstructured data at lower cost; a data platform is the full system (warehouse, lake, pipelines, and transformation layer) working together. Most growing businesses need a warehouse-centric platform, not a full data lake, unless they're handling large volumes of unstructured data like logs or media.
A typical data platform build takes 6-12 weeks for a mid-sized business, depending on the number of data sources and the state of existing data. Simpler setups (a handful of clean SaaS data sources) can go live in 3-4 weeks; complex, multi-system environments with messy legacy data can take longer.
Yes, most engagements start with an audit of the existing setup rather than a rebuild. In many cases the underlying tools (Snowflake, BigQuery, Fivetran, etc.) are fine and the real problem is how they're configured, modeled, or maintained. Fixing that is faster and cheaper than starting over.
The right cloud provider depends on your existing stack, team familiarity, and specific tooling needs more than any inherent technical superiority between them. We work primarily with Google Cloud (BigQuery, Looker) and Snowflake, and can advise on which fits your situation rather than defaulting to one platform.