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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 (16th)
Workato
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
17
Ranking in other categories
Integration Platform as a Service (iPaaS) (8th)
 

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 1.0% compared to last year.
Workato, on the other hand, focuses on Integration Platform as a Service (iPaaS), holds 4.3% mindshare, up 4.2% 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 low code, intuitive, and easy to use."
"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."
"Stability-wise, I rate the solution a ten out of ten."
"Workato reduces total development time as it generates code seamlessly and integrates with SQL databases or APIs through configuration."
"The features of Workato are very user-friendly."
"It's easy to understand, makes flows and is efficient."
"Workato reduces total development time as it generates code seamlessly and integrates with SQL databases or APIs through configuration."
"I would recommend Workato because everyone is moving away from writing extensive code."
 

Cons

"Skill requirement is required. There is a learning curve."
"The data flow and debugging processes need improvement, especially for tracing issues."
"The Electronic Data Interchange (EDI) capabilities could be improved."
"The data flow and debugging processes need improvement, especially for tracing issues. Additionally, Workato struggles with scalability when handling high volumes of data, such as terabytes, requiring chunking for initial data loads."
"The management dashboard in the solution is an area with shortcomings that needs improvement."
"Integrating on-prem applications is challenging, even though they have an on-prem agent."
"It is tedious to make a tailor-fit function."
"From a technical standpoint, the security features at the data orchestration level could be more organized, and improvements in certificate management are necessary."
"I would like to see the dashboarding and reporting processes improved."
 

Pricing and Cost Advice

Information not available
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
15%
Manufacturing Company
13%
Educational Organization
6%
Educational Organization
33%
Financial Services Firm
10%
Computer Software Company
9%
Manufacturing Company
7%
 

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?
One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub ( /products/github-reviews ) for easier deployment. Though it has a recipe life cycle manageme...
What is your primary use case for Workato?
I am using Workato ( /products/workato-reviews ) for integrating and automating solutions for finance, HR, and IT. Specific use cases include onboarding and offboarding for HR, handling invoices 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: March 2025.
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