Dremio

Dremio

Verified

Data Lakehouse

Data lakehouse platform providing self-service analytics with SQL query acceleration.

200-500 employees
Santa Clara, CA
Founded 2015
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Product Overview

Dremio

Intelligent lakehouse platform that provides self-service analytics with SQL query engine directly on data lakes. Features autonomous optimization and semantic layer for unified data access without ETL.

Unique Value Proposition

The only lakehouse platform with autonomous optimization that automatically creates reflections and optimizes queries without manual intervention, providing 10x faster performance on Apache Iceberg tables with zero-ETL federation.

Categories

Data Lakehouse
Data Platform
Analytics
Data Virtualization
SQL Query Engine

Target Market

Industries

Financial Services
Technology
Retail
Healthcare
Manufacturing
Telecommunications

Company Size

100 - 50000 employees

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Pricing Information

Pricing Model

usage_based

Free Trial Available

Typical Contract Length

12 months

Key Features

Autonomous Reflections
Semantic Layer
Apache Iceberg Support
Zero-ETL Federation
Apache Arrow Flight
Data Virtualization
Query Acceleration
Intelligent Caching
Apache Polaris Catalog
MCP Server for AI Agents
Columnar Cloud Cache
Data Lineage
Virtual Datasets
SQL Query Engine
Cost-Based Optimizer
Workload Management
Multi-Cloud Support

Integrations

Amazon S3
Azure Data Lake Storage
Google Cloud Storage
Snowflake
Amazon Redshift
PostgreSQL
MySQL
MongoDB
Oracle
SQL Server
Elasticsearch
Apache Kafka
Tableau
Power BI
Qlik Sense
Apache Spark
Python
Apache Flink
API Available
View Docs

Security Features

Role-Based Access Control
Single Sign-On (SSO)
LDAP Integration
Data Encryption
Row-Level Security
Column-Level Security
Audit Logging
OAuth 2.0

Security & Compliance

SOC 2
ISO 27001
GDPR

Implementation & Support

Implementation Time

5 weeks (30 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

Business Hours

Implementation Support Included
Training Resources Available