Altair Panopticon vs Striim comparison

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43 views|36 comparisons
Striim Logo
336 views|275 comparisons
Executive Summary

We performed a comparison between Altair Panopticon and Striim 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
25th
out of 38 in Streaming Analytics
Views
336
Comparisons
275
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
Striim Platform
Learn More
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.

The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.

Sample Customers
BlackRock, Nasdaq, Citadel, Citi, Imagine Software, Deutsche Bank, FIS, HSBC, Morgan Stanley
Sky, UPS, MACY'S, EMAAR, HSBC
Top Industries
VISITORS READING REVIEWS
Financial Services Firm39%
Marketing Services Firm8%
Computer Software Company8%
Comms Service Provider6%
VISITORS READING REVIEWS
Financial Services Firm19%
Computer Software Company17%
Retailer12%
Comms Service Provider7%
Company Size
VISITORS READING REVIEWS
Small Business26%
Midsize Enterprise7%
Large Enterprise67%
VISITORS READING REVIEWS
Small Business12%
Midsize Enterprise16%
Large Enterprise72%
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 Striim is ranked 25th in Streaming Analytics. Altair Panopticon is rated 0.0, while Striim is rated 0.0. On the other hand, Altair Panopticon is most compared with Tableau, whereas Striim is most compared with Confluent 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.