The Seven Best ELT Tools for Data Warehouses

ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.

Data Science Tools, Data Warehouse, ELT, ETL

TL;DR What’s a Data Warehouse?

A data warehouse is a repository to store the data your business collects. It also makes it easy to combine, clean, and compare data from various sources into a central place where your data analysts can work to draw conclusions from it to help your business.

What is ELT?

ELT is an abbreviation for "Extract, Load, and Transform” — essentially, one of the main ways to transfer data from your various tools to a data warehouse and prepare it for analysis. In a nutshell, you extract data from multiple sources, load it into your warehouse, and then transform this data by cleaning and organizing it. At this point you can provide analysis-ready data to any team at your company.

What Are Some of the Best ELT Tools?

When choosing the most appropriate ELT tool for your business, you need to ask yourself a few questions, including the following:

Do I really need real-time data?
Does my data come from multiple sources requiring joining and aggregating?
Do I require data held in cloud SaaS platforms?

Mozart Data

Mozart Data provides the easiest ways to extract data from over 150 different sources. Once the data is moved to a data warehouse, users have unparalleled abilities to clean and organize data for better analysis. With just a bit of SQL, teams can avoid tedious, time-consuming manual processes and other challenges. Mozart Data offers:

Robust automation and scheduling abilities
Fast queries,
Data “snapshots”
Connections to all popular business intelligence tools
Optional data analytics support

For a full analysis of the ELT tools below, click here!

Xplenty
Talend
Matillion
Hevo
Skyvia
Airflow