Compare Upsolver vs. iWay Universal Adapter Framework

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Ranking
66th
Views
107
Comparisons
73
Reviews
0
Average Words per Review
0
Rating
N/A
79th
Views
28
Comparisons
26
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: March 2021.
475,291 professionals have used our research since 2012.
Popular Comparisons
Also Known As
Universal Adapter Framework, Information Builders Universal Adapter Framework
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Overview
iWay's Universal Adapter Framework contains more than 300 off-the-shelf adapters to provide easy access to any information system. With this breadth of data and application adapters, organizations can access data at every latency level from real-time, zero-latency transactions to staged data in the most summarized data mart.

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.

Offer
Learn more about iWay Universal Adapter Framework
Learn more about Upsolver
Sample Customers
RBC, City of Cincinnati, Pershing, Brotherhood Mutual, Friends University, Nationwide, City of Richardson, Cetera Financial Group
Information Not Available
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: March 2021.
475,291 professionals have used our research since 2012.

iWay Universal Adapter Framework is ranked 66th in Data Integration Tools while Upsolver is ranked 79th in Data Integration Tools. iWay Universal Adapter Framework is rated 0.0, while Upsolver is rated 0.0. On the other hand, iWay Universal Adapter Framework is most compared with , whereas Upsolver is most compared with Databricks.

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