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Confluent vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Confluent
Score 9.9 out of 10
N/A
Confluent Cloud is a cloud-native service for Apache Kafka used to connect and process data in real time with a fully managed data streaming platform. Confluent Platform is the self-managed version.
$0
Google Cloud Dataflow
Score 8.2 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
ConfluentGoogle Cloud Dataflow
Editions & Modules
Basic
$0
Standard
Starting at ~$385
per month
Enterprise
Starting at ~$1,150
per month
No answers on this topic
Offerings
Pricing Offerings
ConfluentGoogle Cloud Dataflow
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsConfluent monthly bills are based upon resource consumption, i.e., you are only charged for the resources you use when you actually use them: Stream: Kafka clusters are billed for eCKUs/CKUs ($/hour), networking ($/GB), and storage ($/GB-hour). Connect: Use of connectors is billed based on throughput ($/GB) and a task base price ($/task/hour). Process: Use of stream processing with Confluent Cloud for Apache Flink is calculated based on CFUs ($/minute). Govern: Use of Stream Governance is billed based on environment ($/hour). Confluent storage and throughput is calculated in binary gigabytes (GB), where 1 GB is 2^30 bytes. This unit of measurement is also known as a gibibyte (GiB). Please also note that all prices are stated in United States Dollars unless specifically stated otherwise. All billing computations are conducted in Coordinated Universal Time (UTC).—
More Pricing Information
Community Pulse
ConfluentGoogle Cloud Dataflow
Features
ConfluentGoogle Cloud Dataflow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Confluent
9.1
Ratings
13% above category average
Google Cloud Dataflow
7.5
Ratings
7% below category average
Real-Time Data Analysis10.00 Ratings8.00 Ratings
Visualization Dashboards8.00 Ratings00 Ratings
Data Ingestion from Multiple Data Sources10.00 Ratings8.00 Ratings
Low Latency9.00 Ratings8.00 Ratings
Integrated Development Tools8.00 Ratings00 Ratings
Linear Scale-Out9.00 Ratings7.00 Ratings
Data Enrichment10.00 Ratings7.00 Ratings
Machine Learning Automation00 Ratings7.00 Ratings
Best Alternatives
ConfluentGoogle Cloud Dataflow
Small Businesses
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Tealium Customer Data Hub
Tealium Customer Data Hub
Score 8.2 out of 10
Confluent
Confluent
Score 9.9 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ConfluentGoogle Cloud Dataflow
Likelihood to Recommend
10.0
(0 ratings)
8.0
(0 ratings)
Support Rating
10.0
(0 ratings)
-
(0 ratings)
User Testimonials
ConfluentGoogle Cloud Dataflow
Likelihood to Recommend
If your company needs to build event-driven applications, like in healthcare industry, you need to enhance interoperability, and you are seeking a reliable service with enterprise-grade support, Confluent is the best on the market you can get. Their product works great and they provide very good customer service.
Verified User
Anonymous
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Based on my experience, streaming / real time / machine learning / AI type of processing and batch processing which needs less transformation are very well suited. Work load that needs complex transformation / multiple hops gets very complicated to implement. New feature like Dataflow SQL option will come in handy for sql heavy users.
Sathish Palanivel(He/Him) | TrustRadius Reviewer
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Pros
  • Products work great.
  • Training is available.
  • Customer support is good.
Verified User
Anonymous
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  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Sathish Palanivel(He/Him) | TrustRadius Reviewer
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Cons
  • Cloud based Azure platform features for Confluent lacks behind AWS And GCP
Verified User
Anonymous
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  • inbuild template options can be expanded
  • more data connector options
  • easy of use
Sathish Palanivel(He/Him) | TrustRadius Reviewer
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Support Rating
The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.
Verified User
Anonymous
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No answers on this topic
Alternatives Considered
For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.
Verified User
Anonymous
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Google Cloud Dataproc Cloud Datafusion
Sathish Palanivel(He/Him) | TrustRadius Reviewer
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Return on Investment
  • Confluent replaced Microsoft Event Hubs in our environment and unblocked data platform services rollout globally.
Verified User
Anonymous
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  • 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
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
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