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Google Cloud Dataflow vs PubSub+ Platform comparison

Google and Solace are both solutions in the Streaming Analytics category. Google is ranked #7 with an average rating of 8.1, while Solace is ranked #11 with an average rating of 8.0. Google holds a 6.8% mindshare in SA, compared to Solace’s 3.0% mindshare. Additionally, 92% of Google users are willing to recommend the solution, compared to 100% of Solace users who would recommend it.
Google Cloud Dataflow
Read 13 Google Cloud Dataflow reviews
  • 2,758 Views
  • 1,111 Comparison Views
92% willing to recommend
PubSub+ Platform
Read 17 PubSub+ Platform reviews
  • 1,216 Views
  • 818 Comparison Views
100% willing to recommend
 

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.

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Buyer's Guide
Google Cloud Dataflow vs. PubSub+ Platform
June 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
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 users see efficiency and cost benefits, though some find Kafka more economical long-term due to complex returns.
 

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
PubSub+ Platform offers exceptional, responsive customer service with efficient problem resolution and user-driven feature development.
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.
For more quotes and insights, download the Google Cloud Dataflow report
No quotes available
For more quotes and insights, download the PubSub+ Platform report
Jana Polianskaja - PeerSpot reviewer
PR
SM
 

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
7.0
PubSub+ Platform seamlessly scales across IT environments, excelling in adaptability, performance, and transaction processing despite some complexity concerns.
Google Cloud Dataflow can handle large data processing for real-time streaming workloads as they grow, making it a good fit for our business.
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 has auto-scaling capabilities, allowing me to add different machine types based on pace and requirements.
For more quotes and insights, download the Google Cloud Dataflow report
No quotes available
For more quotes and insights, download the PubSub+ Platform report
PR
SM
Jana Polianskaja - PeerSpot reviewer
 

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
PubSub+ Platform delivers stable, reliable performance with zero downtime, handling massive data efficiently and ensuring 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.
For more quotes and insights, download the Google Cloud Dataflow report
No quotes available
For more quotes and insights, download the PubSub+ Platform report
Jana Polianskaja - PeerSpot reviewer
SM
PR
 

Room For Improvement

Google Cloud Dataflow improves integrations, but faces challenges in SDK features, support, authentication, cost, and scalability.
PubSub+ Platform needs improvements in integration, user management, dashboard functionality, and open-source support for enhanced application deployment.
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.
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.
For more quotes and insights, download the PubSub+ Platform report
Jana Polianskaja - PeerSpot reviewer
PR
SM
reviewer2714190 - PeerSpot reviewer
 

Setup Cost

Google Cloud Dataflow is cost-effective and competitive, with expenses aligned to usage, often cheaper than AWS.
Enterprise users value PubSub+ for its clear pricing, scalability, and cost-effectiveness, appreciating the free version for initial evaluation.
It is part of a package received from Google, and they are not charging us too high.
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, flexibility, scalability, cost-effectiveness, and powerful event stream processing for real-time insights.
PubSub+ Platform offers seamless integration, scalability, and WAN optimization with intuitive management, efficient data distribution, and advanced topic filtering.
It supports multiple programming languages such as Java and Python, enabling flexibility without the need to learn something new.
We then perform data cleansing, including deduplications, schema standardizations, and filtering of invalid records.
The integration within Google Cloud Platform is very good.
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.
For more quotes and insights, download the PubSub+ Platform report
Jana Polianskaja - PeerSpot reviewer
PR
SM
reviewer2714190 - PeerSpot reviewer
 

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
17
Ranking in other categories
Message Queue (MQ) Software (8th), Message Oriented Middleware (MOM) (2nd), Event Monitoring (13th)
 

Mindshare comparison

As of June 2025, in the Streaming Analytics category, the mindshare of Google Cloud Dataflow is 6.8%, down from 7.4% 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
 

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.
Read full review
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.
Read full review
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
12%
Retailer
11%
Computer Software Company
10%
Financial Services Firm
33%
Computer Software Company
11%
Manufacturing Company
8%
Retailer
8%
 

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.
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?
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...
See all answers
What needs improvement with PubSub+ Event Broker?
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 a...
See all answers
What is your primary use case for PubSub+ Event Broker?
My typical use case for the PubSub+ Platform is as an event-driven solution for communication between two components.
See all answers
What advice do you have for others considering PubSub+ Event Broker?
I have experience working with Kafka, PubSub+ Platform, and IBM MQ, all three of them. We are customers, meaning my company uses Solace. We use it and customize it based on our needs. Based on my e...
See all answers
 

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Compared 29% of the time
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Compared 23% of the time
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Compared 11% of the time
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Compared 9% of the time
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Compared 6% of the time
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Product Reports

Buyer's Guide
Google Cloud Dataflow
June 2025
Google Cloud Dataflow reportDownload Google Cloud Dataflow product report
Buyer's Guide
PubSub+ Platform
June 2025
PubSub+ Platform reportDownload 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 supports real-time shipment tracking, IT event management in multiclouds, and connects legacy and cloud-native systems for application modernization. It's utilized for trading, streaming market data, and app-to-app messaging, enhancing event-driven architectures with reliable message queuing.

Organizations adopt PubSub+ to efficiently transport events across hybrid and cloud environments, managing audit trails and long processing tasks. The platform aids integration through dynamic data publication, event mesh capabilities, and WAN optimization. Features like seamless integration, protocol agnosticism, and flexible topic hierarchy enhance versatility. Solace Admin Utility simplifies configuration and management, while the event portal allows hybrid deployment.

What are the key features of PubSub+ Platform?
  • Dynamic Data Publication: Enables flexible and responsive data handling.
  • Event Mesh Capabilities: Facilitates efficient event transportation.
  • WAN Optimization: Enhances data transfer across networks.
  • Protocol Agnosticism: Supports a wide range of protocols for integration.
  • Flexible Topic Hierarchy: Allows detailed and organized data exchange.
  • Solace Admin Utility: Provides intuitive configuration and management.
  • Granular Topic Filtering: Offers precise data filtering options.
  • Guaranteed Messaging: Ensures reliable message delivery.
What benefits or ROI should users consider?
  • Seamless Integration: Reduces complexity in connecting systems.
  • Performance and Scaling: Supports high-load environments efficiently.
  • Asynchronous Messaging: Improves application performance.
  • Robust Support System: Provides guidance and problem resolution.

PubSub+ is implemented in industries requiring real-time data handling and integration between disparate systems. Financial institutions use it for trading and streaming market data, while logistics companies benefit from real-time shipment tracking. Enterprises apply it to modernize operations by connecting legacy systems with cloud-native applications, enhancing their architecture and ensuring data reliability across environments.

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
June 2025
Free Report: Google Cloud Dataflow vs. PubSub+ Platform
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