Dremio Overview
1 min
What is a Data Lakehouse?
A data lakehouse is a collision of the flexibility of data lakes with the performance and ease-of-use of data warehouses. Check out the following to learn more.
Build a Dremio Data Lakehouse on your laptop
Follow this tutorial to build a Dremio Data Lakehouse on your laptop to see how easy it is to setup and use.
Build Your Laptop Lakehouse
What is Dremio and why use it?
Dremio is a unified lakehouse platform that makes executing a lakehouse open, fast and easy. Check out the following to learn more.
Blog
What Is a Data Lakehouse Platform?
Read the Blog
Blog
5 Use Cases for the Dremio Lakehouse
Read the Blog
Deploy Dremio in production
Enjoy Dremio's full power with a production deployment through our fully managed Dremio Cloud option or self-managed with Dremio Software through our Kubernetes Helm Chart.
Deploy Dremio
Why is Dremio's SQL Query Engine the fastest?
Dremio is fast thanks to open source Apache Arrow, and Dremio's innovative Columnar Cloud Cache (C3) and Reflections Query Acceleration technologies. Better performance doesn't just mean quicker insights, but also lower cost.
Run a Benchmark on your Data
Setup a free meeting with the Dremio team so we can help you perform a benchmark based on your workloads with your data.
Book a Meeting
What makes Dremio open and flexible?
Dremio works with data in your storage whether in the cloud or on-prem, and datasets managed by Dremio leverage the open source data lakehouse table format, Apache Iceberg. This maximizes the open access to your data and minimizes vendor lock-in.
Blog
Apache Iceberg 101 – Your Guide to Learning Apache Iceberg Concepts and Practices
Read the Blog
Check out the Docs
Learn the fine details of working with Dremio by reading our documentation.
Read Documentation
How does Dremio enable easy to use self-service analytics?
Dremio's intuitive UI allows you to analyze your data where it lives in a unified platform, and to curate that data with an integrated semantic layer. Dremio uses standard interfaces like JDBC/ODBC, REST, and Apache Arrow Flight to deliver that data to any tool for any use case.
Learn from Dremio University
Take self-guided learning modules about using Dremio at Dremio University.
Free Courses
How do I get data into my data lakehouse?
While you can connect Dremio directly to databases and data warehouses, you should use your data lake as your center of data gravity. This mean ingesting data as Iceberg tables into Dremio's Nessie-based data catalog so you can take advantage of cutting edge data ops capabilities!
Deploy Dremio in production
Enjoy Dremio's full power with a production deployment through our fully managed Dremio Cloud option or self-managed with Dremio Software through our Kubernetes Helm Chart.
Deploy Dremio
How can I analyze data from Dremio using dashboards and notebooks?
Once your data is in your data lakehouse, and you've built the business-focused views you need in the semantic layer, you can easily use your preferred tools to analyze the data, from BI tools to Notebooks for Data Science and ML.
