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Compare Lenses.io vs. Oracle Stream Analytics

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Lenses.io Logo
247 views|225 comparisons
Oracle Stream Analytics Logo
89 views|42 comparisons
Ranking
21st
out of 38 in Streaming Analytics
Views
247
Comparisons
225
Reviews
0
Average Words per Review
0
Rating
N/A
28th
out of 38 in Streaming Analytics
Views
89
Comparisons
42
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: October 2021.
540,984 professionals have used our research since 2012.
Comparisons
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Overview

Lenses.io delivers a developer workspace for building & operating real-time applications on any Apache Kafka. By enabling teams to monitor, investigate, secure and deploy on their data platform, organizations can shift their focus to data-driven business outcomes and help engineers get their weekends back.

Oracle Stream Analytics allows users to process and analyze large scale real-time information by using sophisticated correlation patterns, enrichment, and machine learning. It offers real-time actionable business insight on streaming data and automates action to drive today’s agile businesses.
Offer
Learn more about Lenses.io
Learn more about Oracle Stream Analytics
Sample Customers
RBS, CDC, Generali. Adidas, Carta, Viseca, Babylon Health, Komatsu
Information Not Available
Top Industries
VISITORS READING REVIEWS
Comms Service Provider23%
Computer Software Company11%
Government8%
Manufacturing Company8%
No Data Available
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: October 2021.
540,984 professionals have used our research since 2012.

Lenses.io is ranked 21st in Streaming Analytics while Oracle Stream Analytics is ranked 28th in Streaming Analytics. Lenses.io is rated 0.0, while Oracle Stream Analytics is rated 0.0. On the other hand, Lenses.io is most compared with Confluent, whereas Oracle Stream Analytics is most compared with Cloudera DataFlow.

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.