Altair Panopticon vs SAS Event Stream Processing comparison

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Executive Summary

We performed a comparison between Altair Panopticon and SAS Event Stream Processing 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).
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Top Answer:The solution is beneficial on an enterprise level.
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.
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 »
Ranking
35th
out of 38 in Streaming Analytics
Views
43
Comparisons
36
Reviews
0
Average Words per Review
0
Rating
N/A
14th
out of 38 in Streaming Analytics
Views
244
Comparisons
148
Reviews
1
Average Words per Review
550
Rating
8.0
Comparisons
Also Known As
Datawatch Panopticon
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Overview

Comprehensive streaming processing and visualization of real-time operational, trading, and market data

Delays in decision-making are costly in real-time businesses like electronic trading of equities, fixed income, FX, futures, or commodities, as well as other time-critical industries like telecommunications, energy, manufacturing, and logistics.

Waiting for end-of-day reports means you’re likely to miss profitable opportunities, or fail to respond to threats to regulatory compliance or profitability until it’s much too late.

Panopticon lets business users — the people closest to the action — build, modify, and deploy sophisticated streaming analytics and data visualization applications using a fully 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 insightful, fully-informed decisions based on massive amounts of fast-changing data.

It’s no wonder that seven of the world’s top ten banks use Panopticon to monitor and analyze real-time trading and market data.

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.

Sample Customers
BlackRock, Nasdaq, Citadel, Citi, Imagine Software, Deutsche Bank, FIS, HSBC, Morgan Stanley
Honda, HSBC, Lufthansa, Nestle, 89Degrees.
Top Industries
VISITORS READING REVIEWS
Financial Services Firm38%
Marketing Services Firm8%
Computer Software Company8%
Comms Service Provider7%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business27%
Midsize Enterprise7%
Large Enterprise67%
No Data Available
Buyer's Guide
Streaming Analytics
April 2024
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
767,847 professionals have used our research since 2012.

Altair Panopticon is ranked 35th in Streaming Analytics while SAS Event Stream Processing is ranked 14th in Streaming Analytics with 1 review. Altair Panopticon is rated 0.0, while SAS Event Stream Processing is rated 8.0. On the other hand, the top reviewer of SAS Event Stream Processing writes "A solution with useful windowing features and great for operations and marketing". Altair Panopticon is most compared with Tableau, whereas SAS Event Stream Processing is most compared with Apache Spark Streaming and Apache Flink.

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.