Federated Search vs. Unified Search: Compare the Differences

Federated Search and Unified Search are two search techniques that take different approaches to crawling, indexing, and presenting data. Learn more here.

Brody Hall
By Brody Hall
Joel Taylor
Edited by Joel Taylor

Updated March 30, 2023.

In today's technologically advanced world, users are increasingly expecting search engines to provide faster results and more comprehensive information for better document management.

How is this being addressed? With search engine technologies like federated and unified search.

And what’s the difference between the two?

Let’s find out.

What Is Federated Search?

Federated search is a technique for searching multiple information sources at once. The federated search engine achieves this by examining the metadata of each source to create a catalog of all the information available. Federated search tools allow users to specify the sources they would like to search, as well as the keywords they would like to use. The results are then combined and displayed in one interface.

For further context on federated search, check out our complete guide to federated search here.

Unleash AI Federated Search



What Is Unified Search?

Unified search is a term used to describe the ability to search for information across multiple data sources, platforms, and applications. This can include both internal and external data sources, such as the company's intranet and the internet. Unified search makes it possible to find information quickly and easily, regardless of where it is located.

Although federated search and unified search sound very similar, there is a clear distinction between the two.

With federated search, each data source is searched separately, and the results are then combined and presented to the user. With unified search, all the data sources are searched simultaneously. For this reason, unified search is often seen as being more efficient than federated search, as it reduces the number of steps that need to be taken in order to find information that matches a searcher's intent.

For a different comparison, take a look at Federated Search vs. Enterprise Search.