Google Cloud Dataflow Reviews

Name: Google Cloud Dataflow
Brand: Google
Rating: 3.9 (10 reviews)

3.9 out of 5

10 reviews
90% willing to recommend

199 followers

What is Google Cloud Dataflow?

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.

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Google Cloud Dataflow is the #8 ranked solution in Streaming Analytics tools. PeerSpot users give Google Cloud Dataflow an average rating of 7.8 out of 10. Based on the analysis of the 10 most recent Google Cloud Dataflow reviews, the overall sentiment is positive, with a sentiment score of 7.3. (Among the highest in the category). Google Cloud Dataflow is most commonly compared to Databricks: Google Cloud Dataflow vs Databricks. Google Cloud Dataflow is popular among the large enterprise segment, accounting for 73% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 17% of all views.

Buyer's Guide

Streaming Analytics

December 2024

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Featured reviews

Tamer Talal

Satellite System Engineer at NARSS

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 product is an area of concern where improvements are required. In the future, the product should be made available at a cheaper rate.

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Arpan Kushwaha

Associate Consultant (Data Engineer) at MediaAgility

We use Google Cloud Dataflow mainly for batch pipelines, like migrating workload from on-premise data movement to BigQuery or Storage Bucket The most valuable features of Google Cloud Dataflow are scalability and connectivity. Google Cloud Dataflow should include a little cost optimization. I…

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Amitabha Chakraborty

Data Analyst Manager at a retailer with 10,001+ employees

The solution's setup process is a learning curve for us. It is a bit tricky overall. We receive vendor assistance in terms of infrastructure and expertise to build it. The time taken for deployment depends on the status of the environment, security and governance setups, etc. It takes a few hours to days to complete. Also, it is self-maintained, saving us the cost of it.

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Google Cloud Dataflow mindshare

As of December 2024, the mindshare of Google Cloud Dataflow in the Streaming Analytics category stands at 8.4%, up from 6.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.

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Key learnings from peers

Last updated Dec 18, 2024

Valuable Features

"The product's installation process is easy...The tool's maintenance part is somewhat easy."
"The support team is good and it's easy to use."
"The most valuable features of Google Cloud Dataflow are scalability and connectivity."

Room for Improvement

"The authentication part of the product is an area of concern where improvements are required."
"They should do a market survey and then make improvements."
"Google Cloud Dataflow should include a little cost optimization."

ROI

Google Cloud Dataflow demonstrates early signs of cost-effectiveness for startups building data architecture. Users note substantial value for money, with significant time savings of around 70 percent for their organizations. However, some find it premature to determine the complete financial impact due to the recency of their implementation.

Pricing

"The solution is not very expensive."
"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."
"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."

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Google Cloud Dataflow is described as stable multiple times. Users rate its stability between six and nine out of ten, indicating consistent performance in this area. While some express varying degrees of confidence, the majority indicate satisfactory reliability. Google Cloud Dataflow has a longstanding reputation that supports its stable nature, fostering trust among users familiar with its performance.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Streaming Analytics Buyer's Guide for additional reliable information.