Google Cloud Dataflow vs. RapidMiner Panopticon

Google Cloud Dataflow

37 Reviews and Ratings

RapidMiner Panopticon

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Google Cloud Dataflow	Score9.1 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
RapidMiner Panopticon	N/A	N/A	RapidMiner Panopticon, formerly from Altair and now from Siemens, lets business users build, modify, and deploy sophisticated streaming analytics and data visualization applications using a drag-and-drop interface. They can connect to virtually any data source, including real-time streaming feeds and time series databases, develop complex stream processing programs, and design visual user interfaces that give them the perspectives they need to make decisions based on massive amounts of fast…	N/A

Pricing

Google Cloud Dataflow

RapidMiner Panopticon

No answers on this topic

No answers on this topic

Pricing Offerings
Google Cloud Dataflow	RapidMiner Panopticon
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

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Features

Google Cloud Dataflow

RapidMiner Panopticon

Comparison of Streaming Analytics features of Google Cloud Dataflow and RapidMiner Panopticon
Feature	Google Cloud Dataflow 7.3 2 Ratings 7% below category average	RapidMiner Panopticon - Ratings
Real-Time Data Analysis	8.02 Ratings	00 Ratings
Visualization Dashboards	5.01 Ratings	00 Ratings
Data Ingestion from Multiple Data Sources	9.02 Ratings	00 Ratings
Low Latency	9.02 Ratings	00 Ratings
Integrated Development Tools	6.01 Ratings	00 Ratings
Data wrangling and preparation	7.01 Ratings	00 Ratings
Linear Scale-Out	8.02 Ratings	00 Ratings
Machine Learning Automation	6.02 Ratings	00 Ratings
Data Enrichment	8.02 Ratings	00 Ratings

Best Alternatives
	Google Cloud Dataflow	RapidMiner Panopticon
Small Businesses	Amazon Kinesis Score10 out of 10	Amazon Kinesis Score10 out of 10
Medium-sized Companies	No answers on this topic	No answers on this topic
Enterprises	TIBCO Streaming Score5 out of 10	TIBCO Streaming Score5 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Google Cloud Dataflow	RapidMiner Panopticon
Likelihood to Recommend	9.0 (2 ratings)	- (0 ratings)
Usability	8.0 (1 ratings)	- (0 ratings)

User Testimonials
	Google Cloud Dataflow	RapidMiner Panopticon
Likelihood to Recommend	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. Incentivized Verified User Read full review	Siemens AG No answers on this topic
Pros	Google Streaming, Real time work load Batch processing Auto scaling flexible pricing Sathish Palanivel(He/Him) Cloud Architect Read full review	Siemens AG No answers on this topic
Cons	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. Incentivized Verified User Read full review	Siemens AG No answers on this topic
Usability	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. Incentivized Verified User Read full review	Siemens AG No answers on this topic
Alternatives Considered	Google Google Cloud Dataproc Cloud Datafusion Sathish Palanivel(He/Him) Cloud Architect Read full review	Siemens AG 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) Cloud Architect Read full review	Siemens AG No answers on this topic
ScreenShots