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Google Cloud Dataflow vs. Redpanda

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Dataflow
Score 8.1 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
Redpanda
Score 0.0 out of 10
N/A
Redpanda is a streaming data platform for developers. It is Kafka® API-compatible, as well as ZooKeeper and JVM free. It was built to eliminate complexity common to Apache Kafka, improve performance, make the storage architecture safer, as well as more resilient.N/A
Pricing
Google Cloud DataflowRedpanda
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DataflowRedpanda
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
Features
Google Cloud DataflowRedpanda
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Google Cloud Dataflow
7.5
1 Ratings
7% below category average
Redpanda
-
Ratings
Real-Time Data Analysis8.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources8.01 Ratings00 Ratings
Low Latency8.01 Ratings00 Ratings
Linear Scale-Out7.01 Ratings00 Ratings
Machine Learning Automation7.01 Ratings00 Ratings
Data Enrichment7.01 Ratings00 Ratings
Best Alternatives
Google Cloud DataflowRedpanda
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 9.8 out of 10
Apache Kafka
Apache Kafka
Score 7.8 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 6.6 out of 10
Apache Kafka
Apache Kafka
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud DataflowRedpanda
Likelihood to Recommend
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud DataflowRedpanda
Likelihood to Recommend
Google
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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Redpanda Data
No answers on this topic
Pros
Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Redpanda Data
No answers on this topic
Cons
Google
  • inbuild template options can be expanded
  • more data connector options
  • easy of use
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Redpanda Data
No answers on this topic
Alternatives Considered
Google
Google Cloud Dataproc Cloud Datafusion
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Redpanda Data
No answers on this topic
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
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Redpanda Data
No answers on this topic
ScreenShots