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IBM Streams vs Striim comparison

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IBM Streams

Read 5 IBM Streams reviews
674 views|593 comparisons
Striim Logo

Striim

336 views|275 comparisons
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Buyer's Guide
Streaming Analytics
April 2024
Executive Summary

We performed a comparison between IBM Streams and Striim based on real PeerSpot user reviews.

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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
25th
out of 38 in Streaming Analytics
Views
336
Comparisons
275
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Confluent logo
Confluent vs. IBM Streams
Compared 44% of the time.
Apache Spark logo
Apache Spark vs. IBM Streams
Compared 11% of the time.
Apache Flink logo
Apache Flink vs. IBM Streams
Compared 11% of the time.
Apache NiFi logo
Apache NiFi vs. IBM Streams
Compared 8% of the time.
More IBM Streams Competitors   →
Confluent logo
Confluent vs. Striim
Compared 78% of the time.
Apache Flink logo
Apache Flink vs. Striim
Compared 22% of the time.
More Striim Competitors   →
Also Known As
IBM InfoSphere Streams
Striim Platform
Learn More
IBM
Striim
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.

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
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
Sky, UPS, MACY'S, EMAAR, HSBC
Top Industries
VISITORS READING REVIEWS
Financial Services Firm23%
Computer Software Company15%
Comms Service Provider6%
Government6%
VISITORS READING REVIEWS
Financial Services Firm18%
Computer Software Company17%
Retailer12%
Comms Service Provider7%
Company Size
VISITORS READING REVIEWS
Small Business18%
Midsize Enterprise10%
Large Enterprise72%
VISITORS READING REVIEWS
Small Business12%
Midsize Enterprise16%
Large Enterprise72%
Buyer's Guide
Streaming Analytics
April 2024
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IBM Streams is ranked 15th in Streaming Analytics with 5 reviews while Striim is ranked 25th in Streaming Analytics. IBM Streams is rated 8.2, while Striim 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 Spark, Apache Flink and Apache NiFi, 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.