SAS Event Stream Processing vs Starburst Enterprise comparison

SAS and Starburst are both solutions in the Streaming Analytics category. SAS is ranked #28, while Starburst is ranked #16 with an average rating of 8.5. SAS holds a 0.6% mindshare in SA, compared to Starburst’s 3.7% mindshare. Additionally, 100% of SAS users are willing to recommend the solution, compared to 100% of Starburst users who would recommend it.

SAS Event Stream Processing

Read 1 SAS Event Stream Processing review

211 Views
211 Comparison Views

100% willing to recommend

Starburst Enterprise

Read 2 Starburst Enterprise reviews

1,322 Views
793 Comparison Views

100% willing to recommend

SAS Event Stream Processing

Starburst Enterprise

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Executive Summary

We performed a comparison between SAS Event Stream Processing and Starburst Enterprise 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: September 2025).

Buyer's Guide

Streaming Analytics

September 2025

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Helped 869,771 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

SAS Event Stream Processing

Ranking in Streaming Analytics

28th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Starburst Enterprise

Ranking in Streaming Analytics

16th

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Science Platforms (13th)

Mindshare comparison

As of October 2025, in the Streaming Analytics category, the mindshare of SAS Event Stream Processing is 0.6%, up from 0.4% compared to the previous year. The mindshare of Starburst Enterprise is 3.7%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Starburst Enterprise	3.7%
SAS Event Stream Processing	0.6%
Other	95.7%

Streaming Analytics

Featured Reviews

Roi Jason Buela

Lead Technical Consultant at Thakral One

A solution with useful windowing features and great for operations and marketing

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 memory. For example, if one server goes down and the information is stored in the memory, it is lost. Therefore, the persistence needs to be improved so that if there are more cases where the server is down, the information and data can still be intact.

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KamleshPant

Senior Software Architect at USEReady

Connects to any data source from any region and offers unified access

There are no specific projects supported by Starburst regarding AI initiatives or machine learning projects. In the future, if we have all the data available, we can definitely capitalize on AI/ML and LLM capabilities to summarize data and gain insights. That's our future goal, but we haven't reached that point yet. There should be support for REST API data sources to access data from the web. We often have data coming in and communicate with data sources via REST API calls. I don't see that capability in Starburst currently; everything is through JDBC or ODBC. If Starburst could seamlessly access data using REST API capabilities, it would be a game-changer. The self-service data management features, like self-service materialized views, are great, but they can be a bit complex for basic users to understand.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The solution is beneficial on an enterprise level."

"It's very scalable, fast performing, and supports many catalogs."

"We have noticed improvements in performance using Starburst Enterprise. It handles complex data, including reading and partitioning files. We can add a new catalog to Starburst Enterprise by providing connection details and service account information. This allows us to integrate with existing tools, such as the Snowflake database, which we use for data protection in our project."

Cons

"The persistence could be better."

"There should be support for REST API data sources to access data from the web."

"Starburst Enterprise could improve by offering additional features similar to those provided by other SQL query tools. For example, incorporating functionalities like pivot tables would make it more feasible to use."

Pricing and Cost Advice

Information not available

"I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of using Starburst Enterprise can vary based on the amount of data you're processing and the type of machines you opt for, whether on AWS or another cloud platform."

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

41%

Computer Software Company

Government

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What is your experience regarding pricing and costs for Starburst Enterprise?

I haven't personally dealt with the pricing aspects first-hand, but from what I understand, it largely depends on the specifics of your setup, especially the machines you use on AWS. The cost of us...

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What needs improvement with Starburst Enterprise?

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What is your primary use case for Starburst Enterprise?

We use Starburst with one client who is exploring their ecosystem to remove data silos and enable data access across departments. It's a very big ecosystem, like a finance institute. They are curre...

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Compared 14% of the time

Dremio vs Starburst Enterprise

Compared 13% of the time

Apache Spark Streaming vs Starburst Enterprise

Compared 7% of the time

Alteryx vs Starburst Enterprise

Compared 5% of the time

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Product Reports

Buyer's Guide

Streaming Analytics

September 2025

Download SAS Event Stream Processing product report

Buyer's Guide

Data Science Platforms

September 2025

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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.

SAS

Starburst Enterprise is a data analytics platform that enables organizations to access and analyze data from multiple sources, including cloud-based and on-premises data warehouses. It provides a single access point to all data sources, allowing users to query and analyze data without moving it between systems.

By providing a unified view, Starburst Enterprise helps organizations make better-informed decisions and improve operational efficiency, leading to better customer insights and more accurate forecasting. Overall, Starburst Enterprise is a powerful tool for organizations looking to unlock the full potential of their data.

Starburst

Sample Customers

Honda, HSBC, Lufthansa, Nestle, 89Degrees.

Information Not Available

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: September 2025.

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