Google Cloud Dataflow vs. IBM Decision Manager Open Edition

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Dataflow
Score 8.8 out of 10
N/A
Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.N/A
IBM Decision Manager Open Edition
Score 8.6 out of 10
N/A
IBM Decision Manager Open Edition (formerly Red Hat Decision Manager) is a business rules management and CEP option. Announced in 2022, the product is transitioning to IBM.N/A
Pricing
Google Cloud DataflowIBM Decision Manager Open Edition
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DataflowIBM Decision Manager Open Edition
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional Details
More Pricing Information
Community Pulse
Google Cloud DataflowIBM Decision Manager Open Edition
Features
Google Cloud DataflowIBM Decision Manager Open Edition
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
IBM Decision Manager Open Edition
-
Ratings
Real-Time Data Analysis8.02 Ratings00 Ratings
Visualization Dashboards5.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources9.02 Ratings00 Ratings
Low Latency9.02 Ratings00 Ratings
Integrated Development Tools6.01 Ratings00 Ratings
Data wrangling and preparation7.01 Ratings00 Ratings
Linear Scale-Out8.02 Ratings00 Ratings
Machine Learning Automation6.02 Ratings00 Ratings
Data Enrichment8.02 Ratings00 Ratings
Best Alternatives
Google Cloud DataflowIBM Decision Manager Open Edition
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10

No answers on this topic

Medium-sized Companies
Confluent
Confluent
Score 9.3 out of 10
IBM Cloud Pak for Business Automation
IBM Cloud Pak for Business Automation
Score 9.8 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
IBM Cloud Pak for Business Automation
IBM Cloud Pak for Business Automation
Score 9.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud DataflowIBM Decision Manager Open Edition
Likelihood to Recommend
8.0
(1 ratings)
9.3
(5 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(2 ratings)
Usability
-
(0 ratings)
8.9
(2 ratings)
Support Rating
-
(0 ratings)
5.2
(2 ratings)
Implementation Rating
-
(0 ratings)
7.0
(1 ratings)
User Testimonials
Google Cloud DataflowIBM Decision Manager Open Edition
Likelihood to Recommend
Google
It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.
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IBM
Red Hat Decision Manager is well suited for developing a microservices-based application architecture where reusable components / APIs can be used across different end-user applications. It however may not be well suited for use cases where business users need low code / no-code environment to maintain business rules themselves without any developer / IT team support
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Pros
Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
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IBM
  • Business rule management for filtering the candidate
  • Automate the possible decision making which reduces the time and increase the productivity
  • Whenever business rule changes based on the client requirement.
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Cons
Google
  • More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
  • I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
  • Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.
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IBM
  • It should be easy to use because it needs more knowledge
  • You should be trained to your partner well
  • Well Documentations are needed
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Likelihood to Renew
Google
No answers on this topic
IBM
Red Hat Decision Manager can be scaled and adapted to meet the automation needs of the organization as it grows by reusing the components and business rules data which provides a high ROI on the renewal costs.
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Usability
Google
It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.
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IBM
Implementation phase is very difficult .Of course ,you need to know bunch of things about cloud,container,automatization
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Support Rating
Google
No answers on this topic
IBM
The support for Red Hat decision Manager can be improved to be more omnichannel with better response times for the customers.
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Implementation Rating
Google
No answers on this topic
IBM
For high volume and / or complex set of legacy business rules, plan for adequate time for data migration activities.
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Alternatives Considered
Google
Google Cloud Dataproc Cloud Datafusion
Read full review
IBM
If you have a low budget to invest probably JBoss BRMS is the option for you, if your budget is not restricted you'll probably like to consider Bizagi
Read full review
Return on Investment
Google
  • cost saving from managing our own data center for ETL servers
  • consumption based pricing
  • with auto scaling feature, we were able to expand components to support work load
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IBM
  • Quickly write business rules
  • Computers can take decision
  • Complex event processing
Read full review
ScreenShots