Informatica Data Engineering Streaming [EOL] vs Workato comparison

The compared Informatica and Workato solutions aren't in the same category. Workato is ranked #5 in PaaS , with an average rating of 8.2, and holds a 4.8% mindshare. Additionally, 100% of Informatica users are willing to recommend the solution, compared to 100% of Workato users who would recommend it.

Informatica Data Engineerin...

Read 1 Informatica Data Engineering Streaming [EOL] review

100% willing to recommend

Workato

Read 28 Workato reviews

3,092 Views
1,732 Comparison Views

100% willing to recommend

Informatica Data Engineerin...

Workato

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Informatica Data Engineering Streaming [EOL] and Workato based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: January 2026).

Buyer's Guide

Streaming Analytics

January 2026

Download the complete report

Helped 881,665 peers since 2012

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

Ranking in other categories

No ranking in other categories

Workato

Average Rating

8.2

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (5th)

Featured Reviews

Reviewer43443

BI Practice Lead at a tech services company with 51-200 employees

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.

Read full review

Shubhra Shrivastava

API Integration Architect, Sr Manager at Beauty Tech Retail Domain

Intuitive automation streamlines workflows with room for more deployment options

The best features I appreciate about Workato are how intuitive it is, its low-code, no-code feature, and its true cloud-native environment where we don't need to worry about infrastructure settings and fine-tuning. Though I find the task-based usage in Workato challenging, requiring careful workflow design. The benefits from using Workato include automating workflows using the low-code approach, demonstrating while creating workflows, and making changes on the go. These capabilities enable faster delivery compared to our earlier work environments when using hybrid integration platform or MuleSoft. The delivery time has drastically improved using Workato because of its low-code feature and pre-built connectors which are very easy to use compared to MuleSoft. The ease of deployment is a distinct feature when compared to Tipco, MuleSoft, or any other integration tool. The delivery time is drastically reduced, allowing changes to be made immediately and demonstrated.

Read full review

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."

"It is very easy to use. It takes complex workloads away, and it provides very smooth integration. It has got a lot of out-of-the-box connectors. It has got a lot of out-of-the-box APIs, which makes it really easy to integrate with applications for different use cases, whether it is in finance, HR, or customer operations. It is by far our favorite integration product."

"Their UI interface is very strong compared to other tools, allowing even non-coders to perform basic data transfers between systems effectively."

"I absolutely think it is worth the money to have Workato as a tool."

"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."

"It serves as a one-stop shop where you can maximize coverage on both the automation and AI side."

"The recipe-driven automation in Workato is very impressive; for the same client project, we extracted purchase orders from emails and pushed them into the file system, and the automation worked as expected without any issues with the Workato email connector."

"The features of Workato are very user-friendly."

More Workato pros

Cons

"Skill requirement is required. There is a learning curve."

"The management dashboard in the solution is an area with shortcomings that needs improvement."

"A limitation is that their cloud presence is only in North America and Europe."

"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."

"There are areas of Workato that have room for improvement, and they continue to develop their AI capabilities."

"The Electronic Data Interchange (EDI) capabilities could be improved."

"One area for improvement is the CI/CD pipeline, which lacks a version control system similar to GitHub for easier deployment."

"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."

"In Workato, there are some limitations regarding very high transactional data in file formats. For instance, we have a 90-minute job timeout, and queues larger than 10,000 size will be purged."

More Workato cons

Pricing and Cost Advice

Information not available

"Workato is an expensive solution."

"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."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.

See recommendations

881,665 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

28%

Computer Software Company

Retailer

Insurance Company

Computer Software Company

12%

Financial Services Firm

10%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	6
Large Enterprise	7

Questions from the Community

What needs improvement with Informatica Data Engineering Streaming?

Skill requirement is required. There is a learning curve.

See all answers

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.

See all answers

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...

See all answers

What needs improvement with Workato?

In Workato, there are some limitations regarding very high transactional data in file formats. For instance, we have a 90-minute job timeout, and queues larger than 10,000 size will be purged. Addi...

See all answers

What is your primary use case for Workato?

The usual use cases for Workato include real-time data processing from either SFTP or SAS, and we have implemented multiple use cases for our clients in the past 3.5 years. For example, the employe...

See all answers

What advice do you have for others considering Workato?

I have been working with clients for Workato implementation, focusing on consulting and implementing solutions for their business needs. We automate basic workflows and handle various complexities ...

See all answers

Comparisons

Apache Kafka vs Informatica Data Engineering Streaming [EOL]

Compared 17% of the time

Apache Flink vs Informatica Data Engineering Streaming [EOL]

Compared 15% of the time

Databricks vs Informatica Data Engineering Streaming [EOL]

Compared 14% of the time

Apache Spark Streaming vs Informatica Data Engineering Streaming [EOL]

Compared 14% of the time

Actian DataConnect vs Informatica Data Engineering Streaming [EOL]

Compared 5% of the time

More Informatica Data Engineering Streaming [EOL] Competitors

Microsoft Azure Logic Apps vs Workato

Compared 10% of the time

Boomi iPaaS vs Workato

Compared 9% of the time

UnifyApps vs Workato

Compared 8% of the time

MuleSoft Anypoint Platform vs Workato

Compared 5% of the time

Zapier vs Workato

Compared 5% of the time

More Workato Competitors

Product Reports

Buyer's Guide

Streaming Analytics

January 2026

Informatica Data Engineering Streaming [EOL] report

Download Informatica Data Engineering Streaming [EOL] product report

Buyer's Guide

Workato

January 2026

Download Workato product report

Also Known As

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming

No data available

Overview

Informatica Data Engineering Streaming [EOL] is a real-time streaming data processing platform that enables organizations to efficiently leverage continuous data insights from large volumes of diverse data sources.

Informatica Data Engineering Streaming [EOL] offers advanced capabilities for processing streaming data, enabling businesses to harness and analyze information as it's generated. It supports scalability and provides high-performance processing essential for data-driven decision-making. This platform empowers dynamic adaptation to ever-evolving data needs, ensuring timely insights.

What are the key features of Informatica Data Engineering Streaming [EOL]?

Scalability: Designed to handle large data volumes with optimized performance.
Seamless Integration: Connects effortlessly with multiple data sources and destinations.
Real-Time Processing: Enables immediate analysis of streaming data as it arrives.
Data Connectivity: Supports a wide range of connectors for enhanced flexibility.
Fault Tolerance: Ensures consistent operation despite hardware failures.

What benefits should users consider in reviews?

Enhanced Efficiency: Streamlines data processing workflows for faster results.
Cost Savings: Reduces infrastructure and operational costs by optimizing resources.
Improved Decision-Making: Provides timely insights for informed business strategies.
Increased Agility: Adapts quickly to changes in data streams and analytics requirements.

In specific industries, Informatica Data Engineering Streaming [EOL] is implemented to transform manufacturing processes by enabling real-time monitoring and predictive maintenance. In finance, it supports fraud detection and transaction processing by delivering real-time data insights. Retail businesses utilize it to enhance customer experience through personalized recommendations and inventory management.

Informatica

Named a Leader in iPaaS for Dynamic Integrations by Forrester, Workato is a modern automation and integration platform. With its enterprise-grade capabilities, you can seamlessly integrate and orchestrate workflow automation across cloud and on-premise applications, files and databases without coding.

The Workato team comes from a deep background in building integration products and will continue to expand and change the automation and integration space.

Start your 30-day free trial here.

Workato

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), Apache and others in Streaming Analytics. Updated: January 2026.

DOWNLOAD NOW

881,665 professionals have used our research since 2012.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.