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 7.7, while Informatica is ranked #16 with an average rating of 8.0. Google holds a 8.3% mindshare in SA, compared to Informatica’s 1.2% mindshare. Additionally, 90% of Google users are willing to recommend the solution, compared to 100% of Informatica users who would recommend it.

Google Cloud Dataflow

Read 10 Google Cloud Dataflow reviews

4,001 Views
3,284 Comparison Views

90% willing to recommend

Informatica Data Engineerin...

Read 1 Informatica Data Engineering Streaming review

442 Views
421 Comparison Views

100% willing to recommend

Google Cloud Dataflow

Informatica Data Engineerin...

Comparison Buyer's Guide

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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), Confluent and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: October 2024).

Buyer's Guide

Streaming Analytics

October 2024

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Helped 814,649 peers since 2012

Categories and Ranking

Google Cloud Dataflow

Ranking in Streaming Analytics

8th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Informatica Data Engineerin...

Ranking in Streaming Analytics

16th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Streaming Analytics category, the mindshare of Google Cloud Dataflow is 8.3%, up from 6.6% compared to the previous year. The mindshare of Informatica Data Engineering Streaming is 1.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Tamer Talal

Satellite System Engineer at NARSS

Feb 14, 2024

A tool useful for data transmission and data storage that needs to improve its authentication area

I use the solution in my company for data transmission and data storage One of the good features of the product is the overall capacity that it provides to its users. Though the speed of the product is good, the main feature of the product that I like is its capacity. The authentication part of…

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Reviewer43443

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

May 16, 2024

Helps with real-time data processing and improves decision-making overall

We implement business intelligence solutions, including data warehousing tools, data integration to load data into warehouses, and then creating reports It improves decision-making overall for the company. Informatica is usually the tool for setting up the data, streaming the data into your data…

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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 most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."

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

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

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

"Google Cloud Dataflow is useful for streaming and data pipelines."

"The solution allows us to program in any language we desire."

"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 is a scalable solution."

More Google Cloud Dataflow pros

"It improves the performance."

Cons

"The deployment time could also be reduced."

"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."

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

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

"Google Cloud Data Flow can improve by having full simple integration with Kafka topics. It's not that complicated, but it could improve a bit. The UI is easy to use but the experience could be better. There are other tools available that do a better job."

"The solution's setup process could be more accessible."

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

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

More Google Cloud Dataflow cons

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

Pricing and Cost Advice

"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."

"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."

"Google Cloud Dataflow is a cheap solution."

"The solution is cost-effective."

"The solution is not very expensive."

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

12%

Retailer

12%

Manufacturing Company

11%

Financial Services Firm

19%

Manufacturing Company

17%

Computer Software Company

16%

Healthcare Company

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.

See all answers

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.

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

Comparisons

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Compared 42% of the time

Amazon MSK vs Google Cloud Dataflow

Compared 12% of the time

Apache NiFi vs Google Cloud Dataflow

Compared 11% of the time

Apache Flink vs Google Cloud Dataflow

Compared 9% of the time

Azure Stream Analytics vs Google Cloud Dataflow

Compared 4% of the time

More Google Cloud Dataflow Competitors

Databricks vs Informatica Data Engineering Streaming

Compared 28% of the time

Apache Flink vs Informatica Data Engineering Streaming

Compared 20% of the time

Starburst Enterprise vs Informatica Data Engineering Streaming

Compared 11% of the time

More Informatica Data Engineering Streaming Competitors

Product Reports

Buyer's Guide

Streaming Analytics

October 2024

Download Google Cloud Dataflow product report

Buyer's Guide

Streaming Analytics

October 2024

Informatica Data Engineering Streaming report

Download Informatica Data Engineering Streaming product report

Also Known As

Google Dataflow

Big Data Streaming, Informatica Intelligent Streaming, Intelligent Streaming

Learn More

Google

Informatica

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.

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.

Sample Customers

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

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