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Intel Industrial Edge Insights Software vs Upsolver comparison

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Buyer's Guide
Data Integration
April 2024
Executive Summary

We performed a comparison between Intel Industrial Edge Insights Software and Upsolver based on real PeerSpot user reviews.

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Ranking
78th
out of 100 in Data Integration
Views
111
Comparisons
85
Reviews
0
Average Words per Review
0
Rating
N/A
76th
out of 100 in Data Integration
Views
110
Comparisons
102
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Data Integration
April 2024
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Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
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768,740 professionals have used our research since 2012.
Comparisons
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Intel
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Upsolver
Overview

Intel’s Industrial Edge Insights Software offers a validated solution to easily integrate customers’ data, devices, and processes in manufacturing applications, which helps enable near-real-time intelligence at the edge, greater operational efficiency, and security in factories.

Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.

Buyer's Guide
Data Integration
April 2024
Download Free Report
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
DOWNLOAD NOW
768,740 professionals have used our research since 2012.

Intel Industrial Edge Insights Software is ranked 78th in Data Integration while Upsolver is ranked 76th in Data Integration. Intel Industrial Edge Insights Software is rated 0.0, while Upsolver is rated 0.0. On the other hand, Intel Industrial Edge Insights Software is most compared with Palantir Foundry, whereas Upsolver is most compared with Databricks.

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