SAS Event Stream Processing vs. StreamSets DataOps Platform

SAS Event Stream Processing

StreamSets DataOps Platform

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
SAS Event Stream Processing	Score 10.0 out of 10	N/A	SAS Event Stream Processing is a real-time streaming data analytics platform supporting high throughput workflows and processes such as IoT, sensors, and other transactions.	N/A
StreamSets	Score 8.4 out of 10	N/A	StreamSets in San Francisco offers their DataOps Platform, a subscription based streaming analytics platform including StreamSets Data Collector data source management, Control Hub for data movement architecture management, StreamSets Data Collector Edge IoT manager, DataFlow Performance Manager (DPM), and StreamSets Data Protector compliance (e.g. GDPR) compliance module.	N/A

Pricing

SAS Event Stream Processing

StreamSets DataOps Platform

Editions & Modules

No answers on this topic

Offerings

Pricing Offerings
SAS Event Stream Processing	StreamSets
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

Community Pulse
	SAS Event Stream Processing	StreamSets DataOps Platform
Top Pros	No answers on this topic	Pro Easy to use Pro Create data Pro Way easier
Top Cons	No answers on this topic	Minus Data transfer Minus Takes some time Minus File transfer

Features

SAS Event Stream Processing

StreamSets DataOps Platform

Streaming Analytics

Comparison of Streaming Analytics features of Product A and Product B
	SAS Event Stream Processing - Ratings	StreamSets DataOps Platform 9.0 1 Ratings 11% above category average
Visualization Dashboards	00 Ratings	7.01 Ratings
Low Latency	00 Ratings	8.01 Ratings
Integrated Development Tools	00 Ratings	10.01 Ratings
Data wrangling and preparation	00 Ratings	10.01 Ratings
Data Enrichment	00 Ratings	10.01 Ratings

Best Alternatives
	SAS Event Stream Processing	StreamSets DataOps Platform
Small Businesses	IBM Streams Score 9.0 out of 10	IBM Streams Score 9.0 out of 10
Medium-sized Companies	Confluent Score 7.4 out of 10	Confluent Score 7.4 out of 10
Enterprises	Spotfire Streaming Score 8.2 out of 10	Spotfire Streaming Score 8.2 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	SAS Event Stream Processing	StreamSets DataOps Platform
Likelihood to Recommend	- (0 ratings)	9.0 (1 ratings)

User Testimonials
	SAS Event Stream Processing	StreamSets DataOps Platform
Likelihood to Recommend	SAS No answers on this topic	StreamSets Majorly for all Batch and Streaming Scenarios we are designing StreamSets pipelines, few best suited and tried out use cases below : 1. JDBC to ADLS data transfer based on source refresh frequency. 2. Kafka to GCS. 3. Kafka to Azure Event. 4. Hub HDFS to ADLS data transfer. 5. Schema generation to generate Avro. The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines. Incentivized Abhishek Katara Assistant Consultant Read full review
Pros	SAS No answers on this topic	StreamSets A easy to use canvas to create Data Engineering Pipeline. A wide range of available Stages ie. Sources, Processors, Executors, and Destinations. Supports both Batch and Streaming Pipelines. Scheduling is way easier than cron. Integration with Key-Vaults for Secrets Fetching. Incentivized Abhishek Katara Assistant Consultant Read full review
Cons	SAS No answers on this topic	StreamSets Monitoring/Visualization can be improvised and enhanced a lot (e.g. to monitor a Job to see what happened 7 days back with data transfer). The logging mechanism can be simplified (Logs can be filtered with "ERROR", "DEBUG", "ALL" etc but still takes some time to get familiar for understanding). Auto Scalability for heavy load transfer (Taking much time for >5 million record transfer from JDBC to ADLS destination in Avro file transfer). There should be a concept of creating Global variables which is missing. Incentivized Abhishek Katara Assistant Consultant Read full review
Alternatives Considered	SAS No answers on this topic	StreamSets StreamSets is a one-stop solution to design Data engineering Pipelines and doesn't require deep Programming knowledge, It's so user-friendly that anyone in Team can contribute to the Idea of pipeline design. In Hadoop One has to be programming proficient to use its various components like Hive, HDFS, Kafka, etc but in StreamSets all these stages are built-in and ready to use with minor configuration. Incentivized Abhishek Katara Assistant Consultant Read full review
Return on Investment	SAS No answers on this topic	StreamSets Simplified Improvised Overall data ingestion and Integration Process. Support to various Hetrogenous Source systems like RDBMS< Kafka, Salesforce, Key Vault. Secure, easy to launch Integration tool. Incentivized Abhishek Katara Assistant Consultant Read full review
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