What Is a Data Stack? + Benefits and Data Stack Tools

[shukla7789]

Data stack definition: A data stack is a set of tools and technologies used to gather, process, store, and analyze data in a cloud-based data platform.

Data has become one of the most important commodities in the modern world. For many businesses, data fuels their strategies.

However, businesses must collect, transform, organize, and analyze data before it becomes valuable. To do all these steps, companies need a data stack.

If you want to know more about modern data stacks, investor database in the right place. This blog post discusses the following topics:

What is a data stack?
Modern data stack vs. legacy data stack
3 benefits of a data stack
7 data stack tools
While you’re here, subscribe to our free weekly newsletter to receive the latest intel on data and digital marketing!

Don’t miss our Marketing Manager Insider emails!
Join 200,000 smart marketers and get the month’s hottest marketing news and insights delivered straight to your inbox!

Enter your email below:
Enter your work email
(Don’t worry, we’ll never share your information!)

cta44 img
What is a data stack?
A data stack is a set of tools and data technologies you use to gather, process, store, and analyze data in a cloud-based data platform.

Because raw data isn’t helpful to businesses like yours, you need a data stack to manage data and make it useful for your company. A modern data stack usually has the following software tools:

Data warehouses
Data science tools
Business intelligence and data visualization tools
Extract, Load, Transform (ELT) data transformation tools
Data ingestion and integration tools
Reverse ETL tools
Data orchestration tools
The tools in a modern data stack manage big data, a complex data set that different industries use to discover trends and patterns.


Modern data stack vs. legacy data stack
Various industries have been using data for decades. However, data usage and management have evolved through the years.

As more industries became digitalized, demand for data increased, resulting in the need for new data management tools. Organizations needed a flexible and scalable data stack to help their teams with data-driven decision-making.

A legacy data stack is an older system used to manage data in the past. It is based on an older architecture that may not be compatible with today’s data volume and type.

Meanwhile, a modern data stack is based on newer technology designed to handle big data. Here’s a comparison of the difference between a modern and a legacy data stack.