Analyst Studio + SpotCache
Blend any data source using AI-enabled SQL, Python, and spreadsheets in one seamless workflow. Build the governed foundation your AI needs, while optimizing cloud spend.
Trusted by data teams
Remove tool-switching friction. Prep with SQL, Python, or spreadsheets, blend sources, and move from raw data to AI insights in minutes— in a single data prep workflow.
Eliminate redundant cloud compute expenses. Feel free to prep, iterate, and query on data snapshots, and optimize total cost of ownership of your data stack.
Empower your entire team with native support for high-code, no-code, and spreadsheet workflows. Give everyone the flexibility to work how they prefer, ensuring faster delivery of AI-ready data.
faster AI-ready insights with governed, cross-source data in one workspace.
workflows using integrated Python and R notebooks
with popular built-in libraries.
Connect to Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, Excel, Google Sheets, JSON, SaaS apps, and more.
Use native Python and R notebooks with built-in libraries to perform advanced modeling, or execute custom API calls to ingest data from any SaaS apps or non-standard sources.
Transform datasets with familiar logic, 70+ formulas, conditional formatting, and cell-based calculations.
Maintain compliance with encrypted S3 storage, isolated namespaces, and seamless ThoughtSpot RLS integration.
Explore SpotCache options that work for you, no matter how big your needs. Take control with manual refresh triggers, automated scheduling, and customizable data retention policies.
Deploy with confidence across major regions, with data hosting in North America and the EU.
"When you combine dashboarding with the ability to talk to that dashboard, you start to create a conversation. With AI, we can increase our output, because all we have to do is maintain an underlying dataset."
