Firebolt vs Cognite
Side-by-side comparison of AI visibility scores, market position, and capabilities
Firebolt is a cloud data warehouse engineered for sub-second analytics on petabyte-scale datasets using a custom sparse index storage format and decoupled compute.
About
Firebolt is a cloud data warehouse built for engineering and data teams that require extreme query performance on large datasets and have exhausted the performance capabilities of general-purpose warehouses like Snowflake and BigQuery. The platform is built around a custom storage format using sparse indexes — a technique that allows the query engine to skip large portions of data during scans based on indexed ranges, dramatically reducing the amount of data read from storage for common analytical query patterns. Combined with vectorized query execution and a columnar format optimized for modern hardware, Firebolt delivers sub-second query latency on datasets at petabyte scale.
Cognite is the leader in industrial DataOps and AI, exceeding $170M ARR in FY2025; raised $150M Series B in March 2026 and named IDC MarketScape Leader for Worldwide Industrial DataOps Platforms.
About
Cognite is a Norwegian industrial software company that provides an AI-native data platform purpose-built for asset-heavy industries such as energy, manufacturing, and utilities. Founded in 2016 as a spinout from Aker ASA, Cognite Data Fusion (CDF) integrates data from OT systems (SCADA, historians, sensors), IT systems (ERP, MES), and engineering data sources into a unified industrial knowledge graph that enables AI-driven decision-making at scale. The platform helps operators reduce unplanned downtime, optimize maintenance schedules, improve energy efficiency, and accelerate digital transformation across complex industrial assets.
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