Apache Spark Streaming vs. SAS Event Stream Processing

Apache Spark Streaming

7 Reviews and Ratings

SAS Event Stream Processing

1 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Apache Spark Streaming	Score8.7 out of 10	N/A	Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.	N/A
SAS Event Stream Processing	Score10 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

Pricing

Apache Spark Streaming

SAS Event Stream Processing

No answers on this topic

No answers on this topic

Pricing Offerings
Apache Spark Streaming	SAS Event Stream Processing
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

Apache Spark Streaming

SAS Event Stream Processing

Comparison of Streaming Analytics features of Apache Spark Streaming and SAS Event Stream Processing
Feature	Apache Spark Streaming 8.4 1 Ratings 7% above category average	SAS Event Stream Processing - Ratings
Real-Time Data Analysis	8.01 Ratings	00 Ratings
Visualization Dashboards	9.01 Ratings	00 Ratings
Data Ingestion from Multiple Data Sources	9.01 Ratings	00 Ratings
Low Latency	8.01 Ratings	00 Ratings
Integrated Development Tools	8.01 Ratings	00 Ratings
Data wrangling and preparation	8.01 Ratings	00 Ratings
Linear Scale-Out	8.01 Ratings	00 Ratings
Machine Learning Automation	9.01 Ratings	00 Ratings
Data Enrichment	9.01 Ratings	00 Ratings

Best Alternatives
	Apache Spark Streaming	SAS Event Stream Processing
Small Businesses	Amazon Kinesis Score9.9 out of 10	Amazon Kinesis Score9.9 out of 10
Medium-sized Companies	No answers on this topic	No answers on this topic
Enterprises	Spotfire Streaming Score5 out of 10	Spotfire Streaming Score5 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Apache Spark Streaming	SAS Event Stream Processing
Likelihood to Recommend	9.0 (1 ratings)	- (0 ratings)

User Testimonials
	Apache Spark Streaming	SAS Event Stream Processing
Likelihood to Recommend	Apache Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory. Incentivized Christa Raine Business Manager Read full review	SAS No answers on this topic
Pros	Apache It is amazing in solving complicated transformative logic. It is straightforward to program. It is a very quick tool. It processes large data within a fraction of seconds. Incentivized Christa Raine Business Manager Read full review	SAS No answers on this topic
Cons	Apache There must be more documentation. It is a profoundly complex tool. Its in-memory processing consumes massive memory. Incentivized Christa Raine Business Manager Read full review	SAS No answers on this topic
Alternatives Considered	Apache Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed . Incentivized Christa Raine Business Manager Read full review	SAS No answers on this topic
Return on Investment	Apache Cost and time-effective tool for our business. We can integrate with Jupyter with many conveniences. Its high-speed data processing has proved beneficial for us. Incentivized Christa Raine Business Manager Read full review	SAS No answers on this topic
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