Google Cloud Dataflow vs IBM Streams comparison

Google and IBM are both solutions in the Streaming Analytics category. Google is ranked #8 with an average rating of 7.7, while IBM is ranked #18 with an average rating of 7.0. Google holds a 8.3% mindshare in SA, compared to IBM’s 0.8% mindshare. Additionally, 90% of Google users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Google Cloud Dataflow

Read 10 Google Cloud Dataflow reviews

4,001 Views
3,284 Comparison Views

90% willing to recommend

IBM Streams

Read 5 IBM Streams reviews

536 Views
437 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: October 2024).

Buyer's Guide

Google Cloud Dataflow vs. IBM Streams

October 2024

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Categories and Ranking

Google Cloud Dataflow

Ranking in Streaming Analytics

8th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Streams

Ranking in Streaming Analytics

18th

Average Rating

8.2

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 Google Cloud Dataflow is 8.3%, up from 6.6% compared to the previous year. The mindshare of IBM Streams is 0.8%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics

Featured Reviews

Tamer Talal

Satellite System Engineer at NARSS

A tool useful for data transmission and data storage that needs to improve its authentication area

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 product is an area of concern where improvements are required. In the future, the product should be made available at a cheaper rate.

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Ahmed_Emad

Territory Sales Leader at Sumerge

A solution for data pipelines but has connector limitations

We have used Kafka for seven years. IBM streams gives you many OOTB features that can boost the time-to-market, especially when it comes to reporting and monitoring for example. Confluent is recognized as one of the leaders in this space and the main reason for this is related to the complete vision of the platform also the large number of connectors. This gives the edge and competitive advatnage.

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Retailer

12%

Computer Software Company

11%

Manufacturing Company

11%

Financial Services Firm

29%

Computer Software Company

20%

Educational Organization

Healthcare Company

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?

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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.

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What is your primary use case for IBM Streams?

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 exchan...

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Comparisons

Databricks vs Google Cloud Dataflow

Compared 41% 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

Confluent vs IBM Streams

Compared 47% of the time

Apache Flink vs IBM Streams

Compared 21% of the time

Amazon MSK vs IBM Streams

Compared 18% of the time

Apache NiFi vs IBM Streams

Compared 14% of the time

More IBM Streams Competitors

Product Reports

Buyer's Guide

Streaming Analytics

November 2024

Download Google Cloud Dataflow product report

Buyer's Guide

Streaming Analytics

November 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

October 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: October 2024.

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