Altair Panopticon vs SAP Event Stream Processor comparison

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Executive Summary

We performed a comparison between Altair Panopticon and SAP Event Stream Processor 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).
768,415 professionals have used our research since 2012.
Ranking
35th
out of 38 in Streaming Analytics
Views
43
Comparisons
36
Reviews
0
Average Words per Review
0
Rating
N/A
29th
out of 38 in Streaming Analytics
Views
142
Comparisons
116
Reviews
0
Average Words per Review
0
Rating
N/A
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.
768,415 professionals have used our research since 2012.
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.

Analyze and act on events as they happen with SAP Event Stream Processor. This award-winning complex event processing (CEP) platform delivers real-time stream processing and analytics. Maximize responsiveness and agility, take full advantage of the Internet of Things (IoT) - and develop new applications with embedded CEP functionality.
Sample Customers
BlackRock, Nasdaq, Citadel, Citi, Imagine Software, Deutsche Bank, FIS, HSBC, Morgan Stanley
Information Not Available
Top Industries
VISITORS READING REVIEWS
Financial Services Firm39%
Marketing Services Firm8%
Computer Software Company8%
Comms Service Provider6%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business26%
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.
768,415 professionals have used our research since 2012.

Altair Panopticon is ranked 35th in Streaming Analytics while SAP Event Stream Processor is ranked 29th in Streaming Analytics. Altair Panopticon is rated 0.0, while SAP Event Stream Processor is rated 0.0. On the other hand, Altair Panopticon is most compared with Tableau, whereas SAP Event Stream Processor is most compared with Apache Flink and PubSub+ Event Broker.

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.