Microsoft SQL Server analytics, without the export
ERP, finance and line-of-business data in most enterprises that run on Microsoft.
What teams ask of Microsoft SQL Server
Typed the way you would say them. Each answer comes back with its chart, its numbers and the SQL that produced them, so it can be checked before anyone acts on it.
- “What is AR ageing by customer and by business unit right now?”
- “Which cost centres are running over budget, and by how much?”
- “How does this period compare to the same period last year, on the finance team's own definition?”
- “Which transactions were posted outside the normal window?”
What it gets joined with
The questions that matter rarely live in one system. Supaboard writes the query across every source you have connected, so the join happens when the question is asked rather than in a pipeline project that has to be scoped first.
- Salesforce — booked revenue against the pipeline that claimed it.
- Workday HCM — cost centre spend against headcount.
How the connection works
Microsoft SQL Server is one of the 123 sources you can connect yourself, out of a catalogue of 700+. Setting up a first analysis takes about 5 minutes.
SQL Server is a native connector. On the Enterprise plan the whole thing can run inside your own VPC, which is usually the deciding question when the data is financial.
- Read-only by construction: the query layer rejects DDL and DML — DROP, CREATE, ALTER, TRUNCATE, INSERT, UPDATE, DELETE, GRANT, REVOKE and CALL — before a statement reaches your source.
- Credentials are encrypted at rest, scoped per workspace, never logged and never returned to a client.
- On the Enterprise plan the whole platform runs inside your own VPC, with no data egress at all. See Enterprise.
- From $83 per user per month billed annually, with a 14-day free trial and no credit card — see pricing.
More sources
Other connectors with a guide:
Also in Databases: AWS Redshift, BigQuery, ClickHouse, Databricks, MongoDB, MotherDuck, MySQL, PostgreSQL, Snowflake, Supabase, Google Sheets — and the rest of the 700+ source catalogue.
Weighing this against another tool? See the sourced comparison of 14 BI platforms, or what an AI data analyst does with a connection like this one.
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