ETL vs ELT

What are the key differences and benefits? This guide provides definitions and practical advice to help you understand the differences as you evaluate ETL vs ELT for your organization.

ETL vs ELT Guide

ETL vs ELT Overview

The ETL and ELT acronyms both describe processes of cleaning, enriching, and transforming data from a variety of sources before integrating it for use in data analytics, business intelligence and data science.

ETL or ELT?

Times are changing. Download the eBook to learn how to choose the right approach for your business, what ELT delivers that ETL can’t, and how to build a real-time data pipeline with ELT.

Get the ETL vs ELT eBook

Comparison Guide: Top Cloud Data Warehouses

ETL or ELT?

Times are changing. Download the eBook to learn how to choose the right approach for your business, what ELT delivers that ETL can’t, and how to build a real-time data pipeline with ELT.

Get the ETL vs ELT eBook

  • Real-Time Data Streaming (CDC)

    Extend enterprise data into live streams to enable modern analytics and microservices with a simple, real-time and universal solution.

  • Agile Data Warehouse Automation

    Quickly design, build, deploy and manage purpose-built cloud data warehouses without manual coding.

  • Managed Data Lake Creation

    Automate complex ingestion and transformation processes to provide continuously updated and analytics-ready data lakes.