Apache Pulsar vs Google Cloud Dataflow comparison

Pulsar and Google are both solutions in the Streaming Analytics category. Pulsar is ranked #17, while Google is ranked #8 with an average rating of 7.7. Pulsar holds a 2.0% mindshare in SA, compared to Google’s 8.3% mindshare. Additionally, 100% of Pulsar users are willing to recommend the solution, compared to 90% of Google users who would recommend it.

Apache Pulsar

Read 1 Apache Pulsar review

1,396 Views
906 Comparison Views

100% willing to recommend

Google Cloud Dataflow

Read 10 Google Cloud Dataflow reviews

4,001 Views
3,284 Comparison Views

90% willing to recommend

Apache Pulsar

Google Cloud Dataflow

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache Pulsar and Google Cloud Dataflow 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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Categories and Ranking

Apache Pulsar

Ranking in Streaming Analytics

17th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Dataflow

Ranking in Streaming Analytics

8th

Average Rating

7.8

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 Apache Pulsar is 2.0%, up from 1.9% compared to the previous year. The mindshare of Google Cloud Dataflow is 8.3%, up from 6.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Christian Bonami

Solution Architect at Vlaanderen connect.

Aug 4, 2022

The solution can mimic other APIs without changing a line of code

I installed the solution for my customer who uses it for data streaming. Currently, there are six users but at some point the solution will be used throughout the entire company. The solution operates as a classic message broker but also as a streaming platform. It operates differently than a…

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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…

Read full review

Quotes from Members

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

Pros

"The solution operates as a classic message broker but also as a streaming platform."

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

"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."

"The product's installation process is easy...The tool's maintenance part is somewhat easy."

"It is a scalable solution."

"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."

More Google Cloud Dataflow pros

Cons

"Documentation is poor because much of it is in Chinese with no English translation."

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

"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."

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

"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 technical support has slight room for improvement."

"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."

"The deployment time could also be reduced."

More Google Cloud Dataflow cons

Pricing and Cost Advice

Information not available

"Google Cloud Dataflow is a cheap solution."

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

"The tool is cheap."

"The solution is not very expensive."

"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."

"The solution is cost-effective."

"Google Cloud is slightly cheaper than AWS."

"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."

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Top Industries

By visitors reading reviews

Computer Software Company

24%

Financial Services Firm

Manufacturing Company

Government

Financial Services Firm

17%

Computer Software Company

12%

Retailer

12%

Manufacturing Company

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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.

See all answers

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...

See all answers

Comparisons

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Compared 37% of the time

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Compared 31% of the time

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Compared 13% of the time

Amazon Kinesis vs Apache Pulsar

Compared 10% of the time

Azure Stream Analytics vs Apache Pulsar

Compared 9% of the time

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Databricks vs Google Cloud Dataflow

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

Spring Cloud Data Flow vs Google Cloud Dataflow

Compared 8% of the time

More Google Cloud Dataflow Competitors

Product Reports

Buyer's Guide

Streaming Analytics

October 2024

Download Apache Pulsar product report

Buyer's Guide

Streaming Analytics

October 2024

Download Google Cloud Dataflow product report

Also Known As

No data available

Google Dataflow

Learn More

Video not available

Pulsar

Google

Overview

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project

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.

Sample Customers

Information Not Available

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

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: October 2024.

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We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.