Google Cloud Dataflow vs Informatica Data Engineering Streaming comparison

Google and Informatica are both solutions in the Streaming Analytics category. Google is ranked #8 with an average rating of 7.9, while Informatica is ranked #17 with an average rating of 8.0. Google holds a 7.7% mindshare in SA, compared to Informatica’s 1.3% mindshare. Additionally, 91% of Google users are willing to recommend the solution, compared to 100% of Informatica users who would recommend it.

Google Cloud Dataflow

Read 11 Google Cloud Dataflow reviews

3,450 Views
2,838 Comparison Views

91% willing to recommend

Informatica Data Engineerin...

Read 1 Informatica Data Engineering Streaming review

419 Views
397 Comparison Views

100% willing to recommend

Google Cloud Dataflow

Informatica Data Engineerin...

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Executive Summary

We performed a comparison between Google Cloud Dataflow and Informatica Data Engineering Streaming based on real PeerSpot user reviews.

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

To learn more, read our detailed Streaming Analytics Report (Updated: January 2025).

Buyer's Guide

Streaming Analytics

January 2025

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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

Google Cloud Dataflow

Ranking in Streaming Analytics

8th

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Informatica Data Engineerin...

Ranking in Streaming Analytics

17th

Average Rating

8.0

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Streaming Analytics category, the mindshare of Google Cloud Dataflow is 7.7%, up from 6.8% compared to the previous year. The mindshare of Informatica Data Engineering Streaming is 1.3%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Jana Polianskaja

Data Engineer at Accenture

Build Scalable Data Pipelines with Apache Beam and Google Cloud Dataflow

As a data engineer, I find several features of Google Cloud Dataflow particularly valuable. The ability to test solutions locally using Direct Runner is crucial for development, allowing me to validate pipelines without incurring the costs of full Dataflow jobs. The unified programming model for both batch and streaming processing is exceptional - requiring only minor code adjustments to optimize for either mode. This flexibility extends to language support, with robust implementations in both Java and Python, allowing teams to leverage their existing expertise. The platform's comprehensive monitoring capabilities are another standout feature. The intuitive interface, Grafana integration, and extensive service connectivity make troubleshooting and performance tracking highly efficient. Furthermore, seamless integration with Google Cloud Composer (managed Airflow) enables sophisticated orchestration of data pipelines.

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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.

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Quotes from Members

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

Pros

"The best feature of Google Cloud Dataflow is its practical connectedness."

"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."

"It allows me to test solutions locally using runners like Direct Runner without having to start a Dataflow job, which can be costly."

"The support team is good and it's easy to use."

"I would rate the overall solution a ten out of ten."

"It is a scalable solution."

"The most valuable features of Google Cloud Dataflow are scalability and connectivity."

"The service is relatively cheap compared to other batch-processing engines."

More Google Cloud Dataflow pros

"It improves the performance."

Cons

"Promoting the technology more broadly would help increase its adoption."

"The deployment time could also be reduced."

"Google Cloud Dataflow should include a little cost optimization."

"They should do a market survey and then make improvements."

"The authentication part of the product is an area of concern where improvements are required."

"There are certain challenges regarding the Google Cloud Composer which can be improved."

"The technical support has slight room for improvement."

"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."

More Google Cloud Dataflow cons

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

Pricing and Cost Advice

"The price of the solution depends on many factors, such as how they pay for tools in the company and its size."

"Google Cloud Dataflow is a cheap solution."

"Google Cloud is slightly cheaper than AWS."

"The tool is cheap."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a seven to eight out of ten."

"The solution is cost-effective."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Google Cloud Dataflow's pricing a four out of ten."

"The solution is not very expensive."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Retailer

12%

Manufacturing Company

12%

Computer Software Company

12%

Financial Services Firm

23%

Manufacturing Company

16%

Computer Software Company

14%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Dataflow?

The product's installation process is easy...The tool's maintenance part is somewhat easy.

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What is your experience regarding pricing and costs for Google Cloud Dataflow?

The solution is not very expensive.

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What needs improvement with Google Cloud Dataflow?

The authentication part of the product is an area of concern where improvements are required. For some common users, the solution's authentication part is difficult to use. The scalability of the p...

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What needs improvement with Informatica Data Engineering Streaming?

Skill requirement is required. There is a learning curve.

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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.

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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...

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Comparisons

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Compared 12% of the time

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Compared 11% of the time

Amazon MSK vs Google Cloud Dataflow

Compared 10% of the time

AWS Lambda vs Google Cloud Dataflow

Compared 3% of the time

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Databricks vs Informatica Data Engineering Streaming

Compared 37% of the time

Apache Flink vs Informatica Data Engineering Streaming

Compared 21% of the time

Starburst Enterprise vs Informatica Data Engineering Streaming

Compared 12% of the time

More Informatica Data Engineering Streaming Competitors

Product Reports

Buyer's Guide

Streaming Analytics

January 2025

Download Google Cloud Dataflow product report

Buyer's Guide

Streaming Analytics

January 2025

Informatica Data Engineering Streaming report

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Also Known As

Google Dataflow

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming

Overview

Google Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

Google

Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.

Informatica

Sample Customers

Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale

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