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What is data integration? Data integration is the process of combining data that resides in multiple sources into one unified set. This is done for analytical uses as well as for operational uses.

To learn more, read our Data Integration Tools Buyer's Guide (Updated: February 2023).

The process is utilized in both commercial domains and scientific ones, as users require the merge of data to be able to use it more efficiently for their needs.

Data integration provides organizations with clean and consistent sets of information, which optimizes work time by removing the need to browse through multiple databases and organize and collect information from them.

The process of integrating data differs depending on the specifics of the organization that is initiating the process. Different platforms and tools can be used to facilitate integration; however, the main steps are similar in most cases. They are:

1. A user sends a data request to the master server.

2. The server gathers the required data from the internal and external sources where it is stored.

3. The data is extracted from the various sources.

4. The data is gathered in a single set and sent to the user.

Leaderboard for Data Integration Tools

Check out the members with the highest scores who have reviewed Data Integration Tools.

#1. Prateek Agarwal

1800

Points

Technical Program Manager at a university

Reviewed StreamSets:

Very effective data drift resilience and helped us break down data silos

#2. Jai Agarwal

1010

Points

IT Project Manager at Orange España

Reviewed StreamSets:

Drag-and-drop makes it easy to use, and all our data from different sources is now integrated

#3. reviewer1488372

850

Points

Associate Manager at a consultancy

Reviewed Informatica PowerCenter:

Easy to use and very good for quickly integrating a huge amount of data develop reports and main…

#4. Joaquin Marques

715

Points

CEO - Founder / Principal Data Scientist / Principal AI Architect at Kanayma LLC

Reviewed Azure Data Factory:

Provides great consistency that has made implementations less buggy and less complex

#5. Syed Fahad Anwar

715

Points

Principal System Developer at HHRC

Reviewed SSIS:

It allows you the flexibility to write custom code, but it's difficult to use if you lack experience

#6. GaryM

705

Points

Data Architect at World Vision

Reviewed Azure Data Factory:

The good, the bad and the lots of ugly

#7. Wallace Hugh

670

Points

VP of Data and Analytics at a tech services company

Reviewed Palantir Gotham:

A seamless all-in-one solution

#8. Letarik Terefe Debella

590

Points

Software System Team Leader at Ethiopian Roads Administration

Reviewed SSIS:

Easy to use with good visibility and an easy setup

#9. PedroNavarro

545

Points

BI Development & Validation Manager at JT International SA

Reviewed Azure Data Factory:

Well performing solution for ELTs

#10. Kevin McAllister

515

Points

Executive Manager at Hexagon AB

Reviewed Azure Data Factory:

Light, inexpensive way to ingest data

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Scoring Chart

Type	Points
Register	20
LinkedIn Connect	20
Add photo	15
Add bio	15
Add project	20
Write review	50
Review is liked	20
Add a comment	10
Write article	20
Ask question	10
Answer a question	10
Answer is liked	10