TrustRadius

Google Cloud Dataflow vs. Lenses.io

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
Lenses.io
Score 0.0 out of 10
N/A
Lenses.io delivers a developer workspace for building & operating real-time applications on any Apache Kafka. By enabling teams to monitor, investigate,N/A
Pricing
Google Cloud DataflowLenses.io
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Cloud DataflowLenses.io
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Features
Google Cloud DataflowLenses.io
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Google Cloud Dataflow
7.5
1 Ratings
7% below category average
Lenses.io
-
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 DataflowLenses.io
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
Confluent
Confluent
Score 9.8 out of 10
Confluent
Confluent
Score 9.8 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
Google Cloud DataflowLenses.io
Likelihood to Recommend
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud DataflowLenses.io
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
Read full review
Lenses.io
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
Lenses.io
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
Lenses.io
No answers on this topic
Alternatives Considered
Google
Google Cloud Dataproc Cloud Datafusion
Sathish Palanivel(He/Him) | TrustRadius Reviewer
Read full review
Lenses.io
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
Lenses.io
No answers on this topic
ScreenShots

Lenses.io Screenshots

Screenshot of Kafka Topics - Browse metadata and payload across Kafka streams and Elastic indices by offset, timestamp or SQL. Protected by data role-based security and data anonymization rules. Accessible via Web, CLI, API and SQL Driver.Screenshot of Schema Registry - Schema RegistryScreenshot of SQL Processors - Deploy and run SQL-based real time applications over any Kafka Connect or Kubernetes infrastructure including AWS EKSScreenshot of Data Masking - Meet data compliance by obfuscating real time data across Kafka and ElasticSearch infrastructure with Data Policies rulesScreenshot of Topology - View topology of apps and flows, including external Go/Python/.Net/Java applications. Perfect for knowing what's out there, data lineage and troubleshooting