Google Cloud Dataflow vs IBM Streams comparison

Google Cloud Dataflow

Read 10 Google Cloud Dataflow reviews

4,704 Views
3,907 Comparison Views

90% willing to recommend

IBM Streams

Read 5 IBM Streams reviews

635 Views
549 Comparison Views

100% willing to recommend

Google Cloud Dataflow

IBM Streams

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Google Cloud Dataflow and IBM Streams based on real PeerSpot user reviews.

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Google Cloud Dataflow vs. IBM Streams Report (Updated: May 2024).

Buyer's Guide

Google Cloud Dataflow vs. IBM Streams

May 2024

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Helped 787,061 peers since 2012

Categories and Ranking

Google Cloud Dataflow

Ranking in Streaming Analytics

7th

Average Rating

7.8

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Streams

Ranking in Streaming Analytics

17th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Market share comparison

As of June 2024, in the Streaming Analytics category, the market share of Google Cloud Dataflow is 8.7% and it increased by 19.6% compared to the previous year. The market share of IBM Streams is 0.6% and it decreased by 41.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Unique Categories:

No other categories found

Featured Reviews

Darasimi Ajewole

Software Engineer at Formplus

Nov 26, 2022

Helps to run batch-specific jobs, but notifications for error messages could be more detailed

Our primary use case for the solution is running batch jobs. It is mainly used for running computations on large batches of data. So in a case where you have big data, you need to know the analytics on the data, process the data, and present it. Google Cloud Dataflow gives you the scale and…

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Ahmed_Emad

Territory Sales Leader at Sumerge

Jan 23, 2024

A solution for data pipelines but has connector limitations

We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange between various ministries. It functions basically as a data integration application. A third use…

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Quotes from Members

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

Pricing and Cost Advice

"Google Cloud is slightly cheaper than AWS."

"The solution is cost-effective."

"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."

"The tool is cheap."

"Google Cloud Dataflow is a cheap solution."

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

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Retailer

11%

Manufacturing Company

10%

Financial Services Firm

24%

Computer Software Company

17%

Educational Organization

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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.

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What is your experience regarding pricing and costs for Google Cloud Dataflow?

The solution is not very expensive.

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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...

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What is your experience regarding pricing and costs for IBM Streams?

The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.

See all answers

What needs improvement with IBM Streams?

the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.

See all answers

What is your primary use case for IBM Streams?

See all answers

Comparisons

Databricks vs Google Cloud Dataflow

Compared 31% of the time

Apache NiFi vs Google Cloud Dataflow

Compared 14% of the time

Amazon MSK vs Google Cloud Dataflow

Compared 12% of the time

Amazon Kinesis vs Google Cloud Dataflow

Compared 10% of the time

Aiven for Apache Kafka vs Google Cloud Dataflow

Compared 1% of the time

More Google Cloud Dataflow Competitors

Confluent vs IBM Streams

Compared 45% of the time

Apache Spark vs IBM Streams

Compared 13% of the time

Apache Flink vs IBM Streams

Compared 11% of the time

Apache NiFi vs IBM Streams

Compared 9% of the time

More IBM Streams Competitors

Product Reports

Buyer's Guide

Streaming Analytics

May 2024

Download Google Cloud Dataflow product report

Buyer's Guide

Streaming Analytics

May 2024

Download IBM Streams product report

Also Known As

Google Dataflow

IBM InfoSphere Streams

Learn More

Google

IBM

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.

IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.

Sample Customers

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

Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015

Buyer's Guide

Google Cloud Dataflow vs. IBM Streams

May 2024

Free Report: Google Cloud Dataflow vs. IBM Streams

Find out what your peers are saying about Google Cloud Dataflow vs. IBM Streams and other solutions. Updated: May 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.