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Google Cloud Dataflow vs PubSub+ Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

Review summaries and opinions

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

ROI

Sentiment score
7.2
Google Cloud Dataflow offers substantial cost savings and efficiencies, with organizations experiencing 70% time savings and clear financial benefits.
Sentiment score
7.0
PubSub+ Platform aids digital transformation with increased productivity and cost savings, though some report higher operational costs.
 

Customer Service

Sentiment score
7.9
Google Cloud Dataflow customer support experiences vary from slow to effective, with proactive updates and dedicated managers enhancing service.
Sentiment score
7.5
Users praise PubSub+ Platform's responsive and knowledgeable support, with senior leadership involvement and prompt technical resolutions.
The fact that no interaction is needed shows their great support since I don't face issues.
Google's support team is good at resolving issues, especially with large data.
Whenever we have issues, we can consult with Google.
 

Scalability Issues

Sentiment score
7.3
Google Cloud Dataflow is highly rated for scalability, handling large data loads seamlessly and offering dynamic resource optimization.
Sentiment score
6.9
PubSub+ Platform efficiently scales and integrates across clouds, handling enterprise messaging; improvements needed in topic management and operations.
Google Cloud Dataflow has auto-scaling capabilities, allowing me to add different machine types based on pace and requirements.
As a team lead, I'm responsible for handling five to six applications, but Google Cloud Dataflow seems to handle our use case effectively.
Google Cloud Dataflow can handle large data processing for real-time streaming workloads as they grow, making it a good fit for our business.
 

Stability Issues

Sentiment score
8.2
Google Cloud Dataflow is reliable and stable, with automatic scaling and minor errors in complex, long-running tasks.
Sentiment score
8.2
Users praise PubSub+ for its stability, reliability, and performance under increased loads, citing minimal maintenance and high availability.
I have not encountered any issues with the performance of Dataflow, as it is stable and backed by Google services.
The job we built has not failed once over six to seven months.
The automatic scaling feature helps maintain stability.
 

Room For Improvement

Google Cloud Dataflow improves integrations, but faces challenges in SDK features, support, authentication, cost, and scalability.
PubSub+ Platform needs better integration, observability, open-source options, and cost reduction to improve usability and adoption.
Outside of Google Cloud Platform, it is problematic for others to use it and may require promotion as an actual technology.
I would like to see improvements in consistency and flexibility for schema design for NoSQL data stored in wide columns.
Dealing with a huge volume of data causes failure due to array size.
 

Setup Cost

Google Cloud Dataflow is cost-effective and competitive, with expenses aligned to usage, often cheaper than AWS.
Enterprise buyers value PubSub+ Platform for its transparent, flexible pricing and licensing, with adjustable costs based on usage projections.
It is part of a package received from Google, and they are not charging us too high.
 

Valuable Features

Google Cloud Dataflow offers seamless integration, flexibility, scalability, cost-effectiveness, and powerful event stream processing for real-time insights.
PubSub+ Platform offers seamless message routing and real-time event distribution with flexible management, supporting various protocols and networks.
It supports multiple programming languages such as Java and Python, enabling flexibility without the need to learn something new.
The integration within Google Cloud Platform is very good.
Google Cloud Dataflow's features for event stream processing allow us to gain various insights like detecting real-time alerts.
 

Categories and Ranking

Google Cloud Dataflow
Ranking in Streaming Analytics
7th
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
13
Ranking in other categories
No ranking in other categories
PubSub+ Platform
Ranking in Streaming Analytics
11th
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
16
Ranking in other categories
Message Queue (MQ) Software (6th), Message Oriented Middleware (MOM) (2nd), Event Monitoring (10th)
 

Mindshare comparison

As of May 2025, in the Streaming Analytics category, the mindshare of Google Cloud Dataflow is 7.1%, down from 7.2% compared to the previous year. The mindshare of PubSub+ Platform is 2.9%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics
 

Featured Reviews

Jana Polianskaja - PeerSpot reviewer
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.
BhanuChidigam - PeerSpot reviewer
Performs well, high availability, and helpful support
We use approximately four people for the maintenance of the solution. My advice to others is this solution has high throughput and is used for many stock exchanges. For business critical use cases, such as processing financial transactions at a quick speed, I would recommend this solution. I rate PubSub+ Event Broker an eight out of ten.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
12%
Retailer
11%
Computer Software Company
10%
Financial Services Firm
35%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
What is your experience regarding pricing and costs for Google Cloud Dataflow?
Pricing is normal. It is part of a package received from Google, and they are not charging us too high.
What needs improvement with Google Cloud Dataflow?
I am not sure, as we built only one job, and it is running on a daily basis. Everything else is managed using BigQuery schedulers and Talend. However, occasionally, dealing with a huge volume of da...
What do you like most about PubSub+ Event Broker?
The most valuable feature of PubSub+ Event Broker is the scaling integration. Prior to using the solution, it was done manually with a file, and it can be done instantly live.
What needs improvement with PubSub+ Event Broker?
The solution could be improved by enhancing the message pooling size for persistent messages to handle both small and large messages effectively. Additionally, providing a comprehensive dashboard t...
 

Also Known As

Google Dataflow
PubSub+ Event Broker, PubSub+ Event Portal
 

Overview

 

Sample Customers

Absolutdata, Backflip Studios, Bluecore, Claritics, Crystalloids, Energyworx, GenieConnect, Leanplum, Nomanini, Redbus, Streak, TabTale
FxPro, TP ICAP, Barclays, Airtel, American Express, Cobalt, Legal & General, LSE Group, Akuna Capital, Azure Information Technology, Brand.net, Canadian Securities Exchange, Core Transport Technologies, Crédit Agricole, Fluent Trade Technologies, Harris Corporation, Korea Exchange, Live E!, Mercuria Energy, Myspace, NYSE Technologies, Pico, RBC Capital Markets, Standard Chartered Bank, Unibet 
Find out what your peers are saying about Google Cloud Dataflow vs. PubSub+ Platform and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.