Esper Enterprise Edition vs. Google Cloud Dataflow

Esper Enterprise Edition

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Esper Enterprise Edition	Score 0.0 out of 10	N/A	Esper Enterprise Edition is an enterprise ready, complex event and streaming analytics processing platform.	N/A
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

Pricing

Esper Enterprise Edition

Google Cloud Dataflow

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
Esper Enterprise Edition	Google Cloud Dataflow
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

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More Pricing Information

Features

Esper Enterprise Edition

Google Cloud Dataflow

Streaming Analytics

Comparison of Streaming Analytics features of Product A and Product B
	Esper Enterprise Edition - Ratings	Google Cloud Dataflow 7.5 1 Ratings 7% below category average
Real-Time Data Analysis	00 Ratings	8.01 Ratings
Data Ingestion from Multiple Data Sources	00 Ratings	8.01 Ratings
Low Latency	00 Ratings	8.01 Ratings
Linear Scale-Out	00 Ratings	7.01 Ratings
Machine Learning Automation	00 Ratings	7.01 Ratings
Data Enrichment	00 Ratings	7.01 Ratings

Best Alternatives
	Esper Enterprise Edition	Google Cloud Dataflow
Small Businesses	IBM Streams (discontinued) Score 9.0 out of 10	IBM Streams (discontinued) Score 9.0 out of 10
Medium-sized Companies	Confluent Score 9.9 out of 10	Confluent Score 9.9 out of 10
Enterprises	Spotfire Streaming Score 6.6 out of 10	Spotfire Streaming Score 6.6 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Esper Enterprise Edition	Google Cloud Dataflow
Likelihood to Recommend	- (0 ratings)	8.0 (1 ratings)

User Testimonials
	Esper Enterprise Edition	Google Cloud Dataflow
Likelihood to Recommend	EsperTech No answers on this topic	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) Cloud Architect Read full review
Pros	EsperTech No answers on this topic	Google Streaming, Real time work load Batch processing Auto scaling flexible pricing Sathish Palanivel(He/Him) Cloud Architect Read full review
Cons	EsperTech No answers on this topic	Google inbuild template options can be expanded more data connector options easy of use Sathish Palanivel(He/Him) Cloud Architect Read full review
Alternatives Considered	EsperTech No answers on this topic	Google Google Cloud Dataproc Cloud Datafusion Sathish Palanivel(He/Him) Cloud Architect Read full review
Return on Investment	EsperTech No answers on this topic	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) Cloud Architect Read full review
ScreenShots