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Dremio

Dremio

Enables organizations to query data lakes directly with high performance SQL without moving or copying data, reducing costs and complexity while accelerating analytics workloads.

dremio.comSanta Clara, California, United StatesFounded 2015

Last updated May 11, 2026

Business Model
SaaS
Target Market
Enterprise
Employee Count
201-500
Funding
$414M
API Available
Yes
Market Position

Leading data lakehouse platform provider competing in the modern data stack and cloud data platform market

Overview

Dremio is not an AdTech company. It is a data lakehouse platform company that provides a high-performance SQL query engine for data lakes and lakehouse architectures. Founded in 2015, Dremio enables organizations to query data directly in open formats like Apache Iceberg, Delta Lake, and Apache Parquet without moving data into traditional data warehouses. The platform combines the flexibility and cost-effectiveness of data lakes with the performance and functionality of data warehouses. Dremio's technology is used across various industries including financial services, healthcare, retail, and technology companies for analytics, business intelligence, and data science workloads. While Dremio is not part of the AdTech ecosystem, its data platform could potentially be used by AdTech companies for managing and analyzing advertising data, campaign performance metrics, and customer data. The company competes in the data lakehouse and data platform market rather than the advertising technology space.

Products & Features

Dremio Cloud

Fully managed cloud service for data lakehouse analytics

Dremio Software

Self-managed deployment option for on-premise or cloud environments

Apache Arrow-based Query Engine

High-performance SQL query engine built on Apache Arrow

Semantic Layer

Business-friendly data modeling and curation layer

Data Reflections

Automatic query acceleration through intelligent data optimization

Key Features
Direct query on data lake storage (S3, ADLS, HDFS)Apache Iceberg support and catalogSQL query engine with sub-second performanceSelf-service data access for analystsAutomatic query accelerationData virtualization and federationGit-like data versioningBI tool integration
Use Cases
Interactive analytics on data lakesBusiness intelligence and reportingData science and machine learningSelf-service analyticsData warehouse modernizationMulti-cloud data access
Customer Segments
Enterprise data teamsData engineersData analystsBusiness intelligence teamsData scientists

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