For analysts
From spreadsheet limits to real analysis — without waiting on IT.
A managed workspace for analysts and data teams: notebooks, SQL and Python together, compute that scales up when you need it, and data that stays in your chosen region.
One place for the work
- Notebooks with Python, R and SQL
- Connect databases, warehouses and file storage
- Share results with colleagues
Compute on demand
- Start on CPU, switch to GPU for heavier jobs
- Team budgets with hard caps
- Idle resources shut down automatically
Control over your data
- Pick the region for each workspace
- Role-based access for your team
- Encrypted storage and encrypted backups (details)
Hire from the classroom
Graduates who used KernelQuad at university can bring their workspace and portfolio with them, so new analysts are productive from day one.