Dremio vs Cognite
Side-by-side comparison of AI visibility scores, market position, and capabilities
Dremio is a data lakehouse platform using Apache Arrow Flight for fast SQL queries directly on cloud storage, eliminating the need for data copies or ETL pipelines.
About
Dremio is a data lakehouse platform that enables organizations to run high-performance SQL analytics directly on data stored in cloud object storage — Amazon S3, Azure Data Lake, and Google Cloud Storage — without the need for proprietary data ingestion, transformation pipelines, or a separate analytical copy. The platform is built on Apache Arrow and Apache Arrow Flight, an in-memory columnar data format and high-speed data transport protocol that dramatically accelerates query execution compared to traditional row-oriented formats. Dremio's virtual dataset layer allows analysts to create logical views and curated data products on top of raw lake data without physically copying or transforming the underlying files.
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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