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IBM Streams vs Perspica comparison

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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
100% willing to recommend
Perspica Logo

Perspica

44 views|27 comparisons
Comparison Buyer's Guide
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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between IBM Streams and Perspica 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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Featured Review
Ahmed_Emad
A solution for data pipelines but has connector limitations
Quick deployments
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Questions from the Community
What is your experience regarding pricing and costs for IBM Streams?
Top Answer:The solution’s licenses pricing is different from one region to another region. I rate the solution’s pricing a seven out of ten.
What needs improvement with IBM Streams?
Top Answer:the limited number of connectors. This shall be overcome with work-arounds or eventually buying additional connectors to complete the solution.
What is your primary use case for IBM Streams?
Top Answer:We use the solution for data pipeline by modernizing the traditional ETL jobs done through advanced streaming. Another use case is building the g2g streaming platform, which facilitates data exchange… more »
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Ranking
15th
out of 38 in Streaming Analytics
Views
674
Comparisons
593
Reviews
1
Average Words per Review
447
Rating
7.0
23rd
out of 30 in IT Operations Analytics
Views
44
Comparisons
27
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
IBM InfoSphere Streams
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IBM
Perspica
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Overview
IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
Perspica uses advanced machine learning algorithms to reduce alarms by up to 99% while ensuring the alarms you do receive are accurate and actionable. By having complete visibility across the layers of your application infrastructure stack, Perspica’s AI solutions enable you to automatically determine the root cause of your issues and remediate them. Perspica alerts you to anomalous trends or potentially dangerous issues before they impact your application. By using advanced analytics based on the latest machine learning techniques, Perspica’s AI tools give you a definitive post mortem analysis with actionable recommendations, dramatically reducing your mean time to repair.
Sample Customers
Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
United Airlines
Top Industries
VISITORS READING REVIEWS
Financial Services Firm24%
Computer Software Company15%
Comms Service Provider6%
Real Estate/Law Firm5%
No Data Available
Company Size
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise10%
Large Enterprise72%
No Data Available
Buyer's Guide
Streaming Analytics
April 2024
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Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: April 2024.
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IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while Perspica is ranked 23rd in IT Operations Analytics. IBM Streams is rated 8.2, while Perspica is rated 0.0. The top reviewer of IBM Streams writes "A solution for data pipelines but has connector limitations". On the other hand, IBM Streams is most compared with Confluent, Azure Stream Analytics, Apache Flink, Apache Spark and Apache NiFi, whereas Perspica is most compared with .

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.