The ETL model has been in use for over 30 years - read data from different sources, apply transformations, then save the results in a different system for analytics. Modern hardware and distributed processing create new models for accessing data for analytics.
We put together a survey of current ETL tools in the market - ETL Tools Explained to help users understand their options in terms of commercial products, open source projects, and cloud services. We hope you find it useful!
Explore this interactive demo and see how Dremio's Intelligent Lakehouse enables Agentic AI
Deploy agentic analytics directly on Apache Iceberg data with no pipelines and no added overhead.
We're always looking for ways to better handle and save money on our data. That's why the "data lakehouse" is becoming so popular. It offers a mix of the flexibility of data lakes and the ease of use and performance of data warehouses. The goal? Make data handling easier and cheaper. So, how do we […]
With its capabilities in on-prem to cloud migration, data warehouse offload, data virtualization, upgrading data lakes and lakehouses, and building customer-facing analytics applications, Dremio provides the tools and functionalities to streamline operations and unlock the full potential of data assets.
Dremio Arctic bring new features to Dremio Cloud, including Apache Iceberg table optimization and Data as Code.
