Cloudera Data Platform vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
Score 7.0 out of 10
N/A
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.
$0.04
per CCU (hourly rate)
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
Pricing
Cloudera Data PlatformGoogle Cloud Dataflow
Editions & Modules
CDP Public Cloud - Data Hub
$0.04
per CCU (hourly rate)
CDP Public Cloud - Data Warehouse
$0.054
per CCU (hourly rate)
CDP Public Cloud - Data Engineering
$0.07
per CCU (hourly rate)
CDP Public Cloud - Operational Database
$0.08
per CCU (hourly rate)
CDP Public Cloud - Flow Management
$0.15
per CCU (hourly rate)
CDP Public Cloud - Machine Learning
$0.17
per CCU (hourly rate)
CDP Private Cloud - Plus Edition
$400
CCU (annual subscription)
CDP Private Cloud - Base Edition
$10,000.00
node + variable (annual subscription)
No answers on this topic
Offerings
Pricing Offerings
Cloudera Data PlatformGoogle Cloud Dataflow
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Data PlatformGoogle Cloud Dataflow
Features
Cloudera Data PlatformGoogle Cloud Dataflow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Cloudera Data Platform
-
Ratings
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
Real-Time Data Analysis00 Ratings8.02 Ratings
Visualization Dashboards00 Ratings5.01 Ratings
Data Ingestion from Multiple Data Sources00 Ratings9.02 Ratings
Low Latency00 Ratings9.02 Ratings
Integrated Development Tools00 Ratings6.01 Ratings
Data wrangling and preparation00 Ratings7.01 Ratings
Linear Scale-Out00 Ratings8.02 Ratings
Machine Learning Automation00 Ratings6.02 Ratings
Data Enrichment00 Ratings8.02 Ratings
Best Alternatives
Cloudera Data PlatformGoogle Cloud Dataflow
Small Businesses
Google BigQuery
Google BigQuery
Score 8.8 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Confluent
Confluent
Score 9.3 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data PlatformGoogle Cloud Dataflow
Likelihood to Recommend
7.0
(1 ratings)
8.0
(1 ratings)
Support Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data PlatformGoogle Cloud Dataflow
Likelihood to Recommend
Cloudera
I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
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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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Pros
Cloudera
  • Scales
  • Highly available
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Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
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Cons
Cloudera
  • Constantly changing costs
  • Log visibility
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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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Usability
Cloudera
No answers on this topic
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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Support Rating
Cloudera
We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
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Google
No answers on this topic
Alternatives Considered
Cloudera
IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
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Google
Google Cloud Dataproc Cloud Datafusion
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Return on Investment
Cloudera
  • Reduced operational costs
  • Speed to market
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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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ScreenShots