Snowflake is a great warehouse. Querri is the whole road to the answer.

For a team without data engineers that wants business answers, Querri covers what they'd buy a warehouse stack for: connecting systems, storing and cleaning the data, defining metrics, dashboards and AI. For many terabytes, heavy data engineering, data sharing or machine learning, Snowflake is the stronger platform, and Querri can connect to it as a source.

Snowflake bills by consumption. Credits cost $2, $3 or $4 depending on edition (US list), an X-Small warehouse uses 1 credit an hour and each size up doubles that, storage is about $23 a TB a month, and AI features use AI Credits at $2 each. Vendr reports a median contract of about $100,000 a year, before ingestion, BI and people. Querri is one predictable plan with AI and dashboards included; see current plans.

Usually a few settings and habits: warehouses that stay up for the default 10 idle minutes after every query, oversized warehouses (one made in the web interface defaults to X-Large, 16 credits an hour), long-running queries (the default timeout is two days), and AI agents that turn one question into several model calls and queries. Snowflake's resource monitors, budgets and auto-suspend tuning help, and they take someone's ongoing attention.

Not with resource monitors: Snowflake's documentation says they can't track spending on serverless features and AI services. Budgets do cover AI, including CoWork, but they're for alerting and notification only. A hard stop needs custom code or per-user credit quotas. In Querri, admins set a monthly credit limit for any person, and Querri never auto-charges for overages.

CoWork has no seat fee. It's billed in AI Credits at $2 each based on token consumption, the tools it calls (such as Cortex Analyst or Cortex Search) add their own charges, and the SQL it runs is billed as warehouse compute. So the cost grows with questions times agent steps. Querri includes AI in every plan, drawn from a set monthly credit allowance.

As a standalone API, Cortex Analyst is 67 platform credits per 1,000 messages, about $0.13 a message on Standard, $0.20 on Enterprise and $0.27 on Business Critical (US), plus the warehouse compute to run the SQL it writes. Through CoWork or Cortex Agents it's billed by tokens in AI Credits instead.

For business data, yes, and often faster to the answer, because there's no warehouse to resume. DuckDB runs analytical queries in process on a single machine, so queries over millions of rows return in seconds. Snowflake's distributed warehouses pay off at many terabytes and heavy concurrency, where they're the right tool.

Querri is built for the data businesses run on: CRM, accounting, ERP, ads, payments and spreadsheets, typically megabytes to hundreds of gigabytes. Files upload at up to 2 GB each, and storage grows with your plan. If your data is many terabytes, keep it in Snowflake and let Querri answer from the tables you sync.

Yes. Querri's Snowflake connector syncs a copy of the tables you choose on a schedule, using key-pair or token authentication, which Snowflake now requires for service users. You keep your Snowflake investment and give business users answers on top of it, with no semantic-view project first.

No. Querri syncs a copy of each source into its own storage, as Parquet in Iceberg tables, on the schedule you set, from hourly to monthly. Every answer reflects the latest sync. If you need data to never leave your Snowflake account, Snowflake's own AI is the better fit.

Not to get business answers. A warehouse is one good approach, and it takes engineering to build and run. Querri gives you the storage, the cleaning, the definitions and the answers in one product. Practitioners usually point to a warehouse when data reaches many terabytes, when you need engineering workloads like machine learning or streaming, or when you have a data team with use cases that need it.

Business users can ask questions in Snowflake CoWork, and it's a capable product. The answers depend on semantic views and governance that data people build and maintain, and Snowflake's partners say accuracy drops when those are weak. In Querri, the people who know the data set its meaning in plain language, and Querri tells you when a question has more than one reading.

One that doesn't need pipelines, a modeling layer and a BI tool before the first answer. Querri connects your systems, cleans the data automatically, learns your definitions in plain language and builds dashboards by asking, on one predictable plan. You can start on the free plan.

Yes. You can start on the free plan with no credit card, connect a source and ask. See plans for what each includes. Or bring your hardest question to a 20-minute walkthrough.