Sigma Computing vs VAST Data
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cloud-native BI platform with spreadsheet interface pushing live queries to Snowflake/BigQuery; no data extract limitations enabling billion-row exploration without SQL knowledge.
About
Sigma Computing is a cloud-native business intelligence (BI) and data analytics platform that enables business users to explore, analyze, and visualize data using a familiar spreadsheet-like interface directly connected to cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift) — without requiring SQL knowledge or IT-managed extracts. Founded in 2016 by Rob Woollen and Jason Frantz and headquartered in San Francisco, Sigma has raised over $300 million and targets business analysts and data-savvy business users who are frustrated with the limitations of traditional BI tools.\n\nSigma's technical architecture is its key differentiator — rather than extracting data into an internal cache or limiting analysis to pre-built dashboards, Sigma pushes queries directly into the customer's cloud data warehouse in real time. This means analyses always reflect live data, can scale to billions of rows, and leverage the full computation power of Snowflake or BigQuery rather than being limited by BI tool infrastructure. The spreadsheet interface allows users familiar with Excel to explore data with pivot-table-like flexibility without knowing SQL.\n\nIn 2025, Sigma competes with Tableau (Salesforce), Looker (Google), Power BI (Microsoft), and Thoughtspot for business intelligence and self-service analytics market share. The cloud data warehouse-native BI category has expanded significantly as Snowflake and Databricks have become the dominant enterprise analytics data stores. Sigma's 2025 strategy emphasizes its Snowflake partnership (co-selling and deep Snowflake Native App integration), expanding data application development capabilities (where Sigma can build interactive data apps for external distribution), and growing its enterprise customer base by addressing the "last mile" data access problem where business users need self-service access beyond what BI teams can provision.
Closed a $1 billion Series F at a $30 billion valuation in April 2026, backed by NVIDIA and Fidelity, after surpassing $500M in committed ARR with its AI Operating System platform.
About
VAST Data builds the AI Operating System — a unified platform combining all-flash storage (DataStore), an AI-native database (DataBase), and a globally distributed namespace (DataSpace) into a single infrastructure stack. The platform is purpose-built for organizations training, running, and managing AI models and agents at scale. In 2026, VAST launched AgentEngine, a production-grade deployment layer for multi-agent AI stacks with full auditability and MCP integration.
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