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Brief
Dremio

Dremio

Data & Analyticsdremio.com

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

Last updated Jun 23, 2026

Founded
2015
HQ
Santa Clara, California, United States
Connections
9

At a glance

Employees
201-500
Funding
$414M
8integrations1competitors

About

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

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • 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

Tech & specs

Technology stack

Apache ArrowApache IcebergApache ParquetJavaKubernetesAWS S3Azure Data Lake StorageGoogle Cloud Storage

Security & compliance

SOC 2 Type IIGDPRHIPAAISO 27001

Deployment

CloudOn-premiseHybrid

API

Yes

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