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Informatica Data Engineering Streaming vs Workato comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Informatica Data Engineerin...
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
1
Ranking in other categories
Streaming Analytics (17th)
Workato
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
20
Ranking in other categories
Integration Platform as a Service (iPaaS) (7th)
 

Mindshare comparison

Informatica Data Engineering Streaming and Workato aren’t in the same category and serve different purposes. Informatica Data Engineering Streaming is designed for Streaming Analytics and holds a mindshare of 1.5%, up 1.1% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 4.8% mindshare, up 4.3% since last year.
Streaming Analytics
Integration Platform as a Service (iPaaS)
 

Featured Reviews

DK
Helps with real-time data processing and improves decision-making overall
It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data warehouse from your source, transforming the data, and preparing and modeling it into some desired format. It improves the performance. You need to know how to use it and how to implement it, but it improves performance.
Rohit Sircar - PeerSpot reviewer
Great automation and strong workflows useful for integration
The initial setup is quite straightforward. When connecting Workato with your on-premises system, you have to install the Workato agent on your network. It was not complex but a long process to configure and settle. Workato has not gone live for us yet, so only the developers are currently using it. But in terms of users, we will have close to 250 and maybe 30 additional direct users. We are seeing a lot of different use cases where we can add new recipes because we started small, and there are many different areas where we can implement Workato for automation.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It improves the performance."
"Workato is less expensive and offers similar integration capabilities."
"I definitely recommend Workato to others; it is the best product in our technology stack, allowing us to integrate legacy systems and address diverse requirements."
"It's easy to understand, makes flows and is efficient."
"Workato is low code, intuitive, and easy to use."
"Workato allows us to streamline our operations by replacing multiple legacy systems with a single integrated platform."
"The features of Workato are very user-friendly."
"I absolutely think it is worth the money to have Workato as a tool."
"The most valuable features are easy integration, quick tab to develop, quick tab to market, and interactive integration platform."
 

Cons

"Skill requirement is required. There is a learning curve."
"Though I find the task-based usage in Workato challenging, requiring careful workflow design."
"Based on my experience, it would be really beneficial if the unit tests were improved because when you change a recipe significantly, they do not work anymore, and you have to remake them all."
"From the deployment point of view, our customers encounter platform downtime where it does not serve the actual request on the systems."
"Integrating on-prem applications is challenging, even though they have an on-prem agent."
"Currently, Workato is a low-code platform without native programming capabilities. I would appreciate having a dedicated programming language for tasks like transformations and functional programming."
"Workato's Extract, transform, and load (ETL) and extract, load, and transform (ELT) are not very strong and could be improved for very complex transformations."
"It is tedious to make a tailor-fit function."
"The data flow and debugging processes need improvement, especially for tracing issues."
 

Pricing and Cost Advice

Information not available
"On a scale of one to ten, the pricing is around a six. We have a consumption model and the pricing is higher. If you are using any kind of ML-based approach, machine learning, or some advanced analytics, you may have to pay more."
"Workato is an expensive solution."
"Speaking about price, I would say that it's market-related. Also, there are costs in addition to the standard license fees since different add-ons depend on what you require."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
15%
Manufacturing Company
6%
Educational Organization
5%
Educational Organization
17%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Informatica Data Engineering Streaming?
Skill requirement is required. There is a learning curve.
What is your primary use case for Informatica Data Engineering Streaming?
We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports.
What advice do you have for others considering Informatica Data Engineering Streaming?
Overall, I would rate the solution an eight out of ten. Usually, Informatica is for big clients because of its pricing, and it also requires some skill sets. It requires investment into a proper da...
What do you like most about Workato?
Workato is low code, intuitive, and easy to use.
What needs improvement with Workato?
I am currently in the exploratory phase. While the cloud-native aspect is beneficial, having deployment options similar to MuleSoft would be a great additional feature. Their approach aims to remov...
What is your primary use case for Workato?
I have been using Workato for the past two years now. Our current project was doing automation earlier with workflows using MuleSoft. These have now been moved to Workato for integrating systems fo...
 

Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming
No data available
 

Overview

 

Sample Customers

Jewelry TV
Panera Bread, Berkshire Hathaway, Salesforce, Box, Splunk, ComScore, IBM, Complex Media, Microsoft, Home Depot, Cisco, News Corp, Braille Institute
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: June 2025.
860,592 professionals have used our research since 2012.