• Home
  • SAS Event Stream Processing vs. Starburst Galaxy

SAS Event Stream Processing vs Starburst Galaxy comparison

Cancel
You must select at least 2 products to compare!
SAS Logo

SAS Event Stream Processing

Read 1 SAS Event Stream Processing review
244 views|148 comparisons
100% willing to recommend
Starburst Logo

Starburst Galaxy

643 views|590 comparisons
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between SAS Event Stream Processing and Starburst Galaxy based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics.
To learn more, read our detailed Streaming Analytics Report (Updated: April 2024).
Download the complete report
768,924 professionals have used our research since 2012.
Featured Review
Roi Jason Buela
A solution with useful windowing features and great for operations and marketing
Use Starburst Galaxy?
report
See Which Vendors Are Best For You
Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
See Recommendations
768,924 professionals have used our research since 2012.
Questions from the Community
What do you like most about SAS Event Stream Processing?
Top Answer:The solution is beneficial on an enterprise level.
What is your experience regarding pricing and costs for SAS Event Stream ...
Top Answer:Regarding licensing, I believe since it's on-premises, it's on a per-core basis annual basis. I think there is also an option to license per transaction. Licensing depends on the client and may vary.
What needs improvement with SAS Event Stream Processing?
Top Answer:The persistence could be better. Although ESP is designed for in-memory processing, it would be better if the solution is enhanced or improved on the persistence of the data that is kept in the… more »
Ask a question

Earn 20 points

Ranking
14th
out of 38 in Streaming Analytics
Views
244
Comparisons
148
Reviews
1
Average Words per Review
550
Rating
8.0
20th
out of 38 in Streaming Analytics
Views
643
Comparisons
590
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Learn More
SAS
Starburst
Overview

Artificial intelligence and machine learning are the most transformative technologies of our time, and SAS is more committed than ever to investing in its potential to move humanity forward.

Starburst Galaxy is a fully-managed service to access your data using Trino, the premiere MPP SQL engine, with lightning fast performance. Starburst Galaxy removes data silos, opening doors to new insights. It's built and operated by the Trino experts and the creators of Presto®.

Sample Customers
Honda, HSBC, Lufthansa, Nestle, 89Degrees.
Information Not Available
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm28%
Computer Software Company11%
Healthcare Company7%
Manufacturing Company6%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise8%
Large Enterprise74%
Buyer's Guide
Streaming Analytics
April 2024
Download Free Report
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
DOWNLOAD NOW
768,924 professionals have used our research since 2012.

SAS Event Stream Processing is ranked 14th in Streaming Analytics with 1 review while Starburst Galaxy is ranked 20th in Streaming Analytics. SAS Event Stream Processing is rated 8.0, while Starburst Galaxy is rated 0.0. The top reviewer of SAS Event Stream Processing writes "A solution with useful windowing features and great for operations and marketing". On the other hand, SAS Event Stream Processing is most compared with Apache Spark Streaming and Apache Flink, whereas Starburst Galaxy is most compared with Starburst Enterprise, Dataiku Data Science Studio, Databricks, Talend Data Streams and TIBCO Streaming.

See our list of best Streaming Analytics vendors.

We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.