Google Cloud Dataflow vs PubSub+ Platform comparison

Google and Solace are both solutions in the Streaming Analytics category. Google is ranked #9 with an average rating of 8.1, while Solace is ranked #14 with an average rating of 8.5. Google holds a 4.6% mindshare in SA, compared to Solace’s 3.0% mindshare. Additionally, 93% of Google users are willing to recommend the solution, compared to 100% of Solace users who would recommend it.

Google Cloud Dataflow

Read 14 Google Cloud Dataflow reviews

2,251 Views
1,891 Comparison Views

93% willing to recommend

PubSub+ Platform

Read 18 PubSub+ Platform reviews

2,255 Views
970 Comparison Views

100% willing to recommend

Google Cloud Dataflow

PubSub+ Platform

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 17, 2024

Google Cloud Dataflow and PubSub+ Platform are complementary products in the category of real-time data processing and messaging. Google Cloud Dataflow has the upper hand in big data processing due to its integration with Google Cloud services, while PubSub+ Platform excels in messaging features with its strong event streaming and reliable delivery capabilities.

Features:Google Cloud Dataflow is user-friendly and cost-effective, with seamless integration into the Google ecosystem, flexibility for various programming languages, and is built on Apache Beam. PubSub+ Platform provides reliable messaging, a flexible topic hierarchy, and the ability to connect using multiple protocols, including JMS and AMQP.

Room for Improvement:Google Cloud Dataflow could enhance its documentation and support for evolving user needs. It might also improve real-time analytics features beyond the core capability. PubSub+ Platform's learning curve can be steep, requiring better onboarding processes and documentation. It could also benefit from intuitive UI enhancements for administration and monitoring.

Ease of Deployment and Customer Service:Google Cloud Dataflow offers smooth integration within Google services with scalable infrastructure, noted for easy setup. PubSub+ Platform is versatile across environments but requires significant learning. The dedicated support team often receives positive feedback, providing seamless deployment across cloud and on-premises setups.

Pricing and ROI:Google Cloud Dataflow presents a competitive pricing model with significant cost benefits at scale. It is known for its potential ROI from efficient data handling. PubSub+ Platform might involve higher setup costs but offers high ROI through specialized messaging services and thoughtful long-term investment in messaging infrastructure.

To learn more, read our detailed Google Cloud Dataflow vs. PubSub+ Platform Report (Updated: December 2025).

Buyer's Guide

Google Cloud Dataflow vs. PubSub+ Platform

December 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:

ROI

Sentiment score

5.6

Google Cloud Dataflow was appreciated for cost savings and time efficiency, though some considered its impact not fully assessable yet.

Sentiment score

6.4

Users experienced varied ROI with PubSub+; some saw cost savings and productivity gains, others faced maintenance cost concerns.

No quotes available

For more quotes and insights, download the Google Cloud Dataflow report

No quotes available

For more quotes and insights, download the PubSub+ Platform report

Customer Service

Sentiment score

6.6

Google Cloud Dataflow support varies, with users praising technical resolution but highlighting inconsistent response times and accessibility.

Sentiment score

7.4

PubSub+ Platform is renowned for excellent, responsive support, with dedicated teams enhancing user experiences through prompt issue resolution.

The fact that no interaction is needed shows their great support since I don't face issues.

Jana Polianskaja

Data Engineer at Accenture

Google's support team is good at resolving issues, especially with large data.

Preethi Reddy

Senior Data Engineer at Accruent

Whenever we have issues, we can consult with Google.

Sunil Miragi

Senior Software Engineer at Dun & Bradstreet

For more quotes and insights, download the Google Cloud Dataflow report

I have looked into PubSub+ Platform's support forums to read and understand a few things that I did not understand.

Vyshakh Babji

Developer at a computer software company with 51-200 employees

For more quotes and insights, download the PubSub+ Platform report

Scalability Issues

Sentiment score

7.3

Google Cloud Dataflow excels in scalability and efficiency, making it ideal for real-time data processing and dynamic needs.

Sentiment score

7.1

PubSub+ Platform is scalable and flexible, supporting complex use cases, though some users report deployment challenges and feature gaps.

Google Cloud Dataflow has auto-scaling capabilities, allowing me to add different machine types based on pace and requirements.

Jana Polianskaja

Data Engineer at Accenture

Google Cloud Dataflow can handle large data processing for real-time streaming workloads as they grow, making it a good fit for our business.

Preethi Reddy

Senior Data Engineer at Accruent

As a team lead, I'm responsible for handling five to six applications, but Google Cloud Dataflow seems to handle our use case effectively.

Sunil Miragi

Senior Software Engineer at Dun & Bradstreet

For more quotes and insights, download the Google Cloud Dataflow report

No quotes available

For more quotes and insights, download the PubSub+ Platform report

Stability Issues

Sentiment score

8.3

Google Cloud Dataflow is stable, reliably handles tasks, and benefits from automatic scaling, with minor issues on complex tasks.

Sentiment score

8.2

PubSub+ Platform offers exceptional reliability, maintaining zero downtime and robust performance even during high-stress global events.

I have not encountered any issues with the performance of Dataflow, as it is stable and backed by Google services.

Jana Polianskaja

Data Engineer at Accenture

The job we built has not failed once over six to seven months.

Sunil Miragi

Senior Software Engineer at Dun & Bradstreet

The automatic scaling feature helps maintain stability.

Preethi Reddy

Senior Data Engineer at Accruent

For more quotes and insights, download the Google Cloud Dataflow report

I think the stability of PubSub+ Platform is pretty good, and I would rate it at eight.

Vyshakh Babji

Developer at a computer software company with 51-200 employees

For more quotes and insights, download the PubSub+ Platform report

Room For Improvement

Google Cloud Dataflow needs better Kafka integration, improved error logs, reduced startup time, and enhanced Python SDK features.

PubSub+ Platform requires improved integration, usability, cost management, and features like dynamic topics and enhanced monitoring capabilities.

Outside of Google Cloud Platform, it is problematic for others to use it and may require promotion as an actual technology.

Jana Polianskaja

Data Engineer at Accenture

I would like to see improvements in consistency and flexibility for schema design for NoSQL data stored in wide columns.

Preethi Reddy

Senior Data Engineer at Accruent

Dealing with a huge volume of data causes failure due to array size.

Sunil Miragi

Senior Software Engineer at Dun & Bradstreet

For more quotes and insights, download the Google Cloud Dataflow report

It was as impressive as Kafka, better than Kafka based on my experience working on the Solace and Kafka white paper.

reviewer2714190

freelancer at a financial services firm with 1,001-5,000 employees

The analytics tools integrated within PubSub+ Platform are good, as it has already integrated with cloud logging and the cloud logging features, making the analytics pretty good already.

Vyshakh Babji

Developer at a computer software company with 51-200 employees

For more quotes and insights, download the PubSub+ Platform report

Setup Cost

Google Cloud Dataflow is praised for cost-effectiveness and scalability, offering competitive pricing influenced by pipeline complexity and company size.

PubSub+ Platform offers flexible, tiered pricing based on message volume with free options and scalable enterprise solutions.

It is part of a package received from Google, and they are not charging us too high.

Sunil Miragi

Senior Software Engineer at Dun & Bradstreet

For more quotes and insights, download the Google Cloud Dataflow report

No quotes available

For more quotes and insights, download the PubSub+ Platform report

Valuable Features

Google Cloud Dataflow offers seamless integration, multi-language support, scalability, and serverless data handling for efficient batch and streaming processes.

The PubSub+ Platform excels in scalability, reliability, and integration, offering outstanding support, flexibility, and efficient event handling capabilities.

It supports multiple programming languages such as Java and Python, enabling flexibility without the need to learn something new.

Jana Polianskaja

Data Engineer at Accenture

The integration within Google Cloud Platform is very good.

Sunil Miragi

Senior Software Engineer at Dun & Bradstreet

We then perform data cleansing, including deduplications, schema standardizations, and filtering of invalid records.

Preethi Reddy

Senior Data Engineer at Accruent

For more quotes and insights, download the Google Cloud Dataflow report

The solution's ability to decouple message producers and consumers allows us to have high cohesion and low coupling, making it an excellent solution for that purpose.

reviewer2714190

freelancer at a financial services firm with 1,001-5,000 employees

The best features of PubSub+ Platform include being highly scalable, allowing us to handle billions and billions of events.

Vyshakh Babji

Developer at a computer software company with 51-200 employees

For more quotes and insights, download the PubSub+ Platform report

Categories and Ranking

Google Cloud Dataflow

Ranking in Streaming Analytics

9th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

PubSub+ Platform

Ranking in Streaming Analytics

14th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Message Queue (MQ) Software (8th), Message Oriented Middleware (MOM) (2nd), Event Monitoring (13th)

Mindshare comparison

As of December 2025, in the Streaming Analytics category, the mindshare of Google Cloud Dataflow is 4.6%, down from 7.8% compared to the previous year. The mindshare of PubSub+ Platform is 3.0%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Google Cloud Dataflow	4.6%
PubSub+ Platform	3.0%
Other	92.4%

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.

Read full review

reviewer2714190

freelancer at a financial services firm with 1,001-5,000 employees

Offers a seamless way to decouple applications, providing impressive performance and flexibility

Regarding improving the PubSub+ Platform, I'm not sure about the pricing aspect, but I heard that it is quite expensive compared to Kafka. That's the only concern I can mention; otherwise, it was as impressive as Kafka, better than Kafka based on my experience working on the Solace and Kafka white paper.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Manufacturing Company

12%

Retailer

11%

Healthcare Company

Financial Services Firm

27%

Manufacturing Company

11%

Retailer

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	14

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?

Pricing is normal. It is part of a package received from Google, and they are not charging us too high.

See all answers

What needs improvement with Google Cloud Dataflow?

It can be improved in several ways. The system could function in an automated fashion and provide suggestions based on past transactions to achieve better scalability. Implementing AI-based suggest...

See all answers

What is your experience regarding pricing and costs for PubSub+ Event Broker?

I do not know about the pricing of PubSub+ Platform because I did not manage the instance.

See all answers

What needs improvement with PubSub+ Event Broker?

Additional in-line information about certain things on PubSub+ Platform could be more beneficial for new users who are just starting to use this technology. The analytics tools integrated within Pu...

See all answers

What is your primary use case for PubSub+ Event Broker?

I describe the main use cases for PubSub+ Platform as wanting to use it as a messaging queue pipeline for managing the data stream events in our IoT platform while I was working at an IoT-based com...

See all answers

Comparisons

Databricks vs Google Cloud Dataflow

Compared 29% of the time

Apache Flink vs Google Cloud Dataflow

Compared 20% of the time

Apache NiFi vs Google Cloud Dataflow

Compared 11% of the time

Spring Cloud Data Flow vs Google Cloud Dataflow

Compared 6% of the time

Amazon Kinesis vs Google Cloud Dataflow

Compared 3% of the time

More Google Cloud Dataflow Competitors

Apache Kafka vs PubSub+ Platform

Compared 13% of the time

IBM MQ vs PubSub+ Platform

Compared 11% of the time

Software AG Universal Messaging vs PubSub+ Platform

Compared 8% of the time

Confluent vs PubSub+ Platform

Compared 6% of the time

More PubSub+ Platform Competitors

Product Reports

Buyer's Guide

Google Cloud Dataflow

December 2025

Download Google Cloud Dataflow product report

Buyer's Guide

PubSub+ Platform

December 2025

Download PubSub+ Platform product report

Also Known As

Google Dataflow

PubSub+ Event Broker, PubSub+ Event Portal

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

PubSub+ Platform is designed for real-time message publishing and outstanding interoperability. With features like intuitive administration and topic filtering, it offers both stability and high performance for scalable deployments across diverse scenarios.

PubSub+ Platform enhances data integration with its event mesh and seamless protocol compatibility, providing a comprehensive solution for organizations tracking shipments, generating reports, and managing transactions. Its granular topic filtering and WAN optimization ensure high utility in event-driven applications and cloud deployments. Users highlight the platform's intuitive administration and ease of management, though some seek improved integration with third-party tools and enhanced observability. Concerns include scalability for large payloads and training resource availability. Despite its interface complexity, PubSub+ remains valuable for trading and market data distribution.

What are the key features of PubSub+ Platform?

Real-time messaging: Facilitates seamless communication across platforms.
Flexible topic hierarchy: Supports dynamic topic taxonomy for efficient data management.
Event mesh: Enhances integration and interoperability with diverse protocols.
Intuitive administration: Simplifies system management and configuration.
WAN optimization: Ensures efficient connectivity for global deployment.

What benefits should users look for in reviews?

Messaging stability: Offers consistent performance in dynamic environments.
Scalability: Provides seamless expansion to accommodate growing data volumes.
Security: Maintains robust protection for sensitive information.
Support and configuration: Accessible, reliable support, and UI-driven setup streamline the management.

PubSub+ Platform is widely implemented for asynchronous messaging in industries like finance for trading and market data, logistics for shipment tracking, and tech operations management. It enables companies to modernize applications while ensuring data accuracy and efficiency across global systems.

Solace

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

Buyer's Guide

Google Cloud Dataflow vs. PubSub+ Platform

December 2025

Free Report: Google Cloud Dataflow vs. PubSub+ Platform

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