Built.io Flow Embed [EOL] vs ViaSQL by Adaptigent comparison

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Executive Summary

We performed a comparison between Built.io Flow Embed [EOL] and ViaSQL by Adaptigent based on real PeerSpot user reviews.

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Ranking
Unranked
In Cloud Data Integration
67th
out of 100 in Data Integration
Views
238
Comparisons
168
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Cloud Data Integration
March 2024
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
767,847 professionals have used our research since 2012.
Comparisons
Also Known As
GT Software Ivory Suite, Ivory Data Access
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Software AG
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Adaptigent
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Overview

Built.io Flow™ Embed is a cloud-based embedded integration engine designed to enable your users to easily connect and integrate data from over 190 systems, apps, and devices from within your application experience.

Through a simple-to-configure form, your users are able to access more data - quicker - while you retain full control over their integration experience and abilities.

Because it is based on Built.io Flow, your engineering team can focus on building differentiated content and let the infrastructure and maintenance be handled by us. This means faster time-to-market with less maintenance and more features for your end users.

ViaSQL enables powerful data extraction from complex sources through standard SQL queries. It provides direct access to all your system databases, allowing teams to seamlessly manage enterprise data with ease. The powerful tool opens bi-directional access to both mainframe and distributed data sources, enabling rapid web and cloud application development. Gone are the days of complex and time-consuming legacy data management practices!

Direct Access to Data Sources

With ViaSQL, you can directly access mainframe data using ODBC or JDBC. The native read/write conversion functionality allows you to access both relational and non-relational databases with SQL queries, so your teams don’t need to know anything about mainframe databases.

Call Out From Mainframe Applications

ViaSQL also makes outbound calls from legacy applications by providing COBOL and PL/I access to distributed data sources. It allows for true bi-directional data access from the mainframe without the need to modify any legacy system code.

Bulk Transfer Capabilities

ViaSQL allows you to move large amounts of data between the mainframe and relational databases. It eliminates the need for other expensive and complex Extract, Transform, and Load (ETL) systems when copying mainframe data to modern data lakes and warehouses.

Combine Direct and Indirect Data Sources

When used with Adaptive Integration Fabric, ViaSQL allows you to combine direct and indirect data sources by creating workflows that pull data via mainframe applications, as well as directly from data sources. This allows users to not only create highly efficient data extraction systems but also expose data to modern systems such as REST or SOAP APIs.

Sample Customers
Cisco, Agralogics, Dreamforce, Cables & Sensors, Sacramento Kings
Landesbank Baden-Württemberg (LBBW), France Galop, Benefit Programs Administration (BPA)
Buyer's Guide
Cloud Data Integration
March 2024
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
767,847 professionals have used our research since 2012.

Built.io Flow Embed [EOL] doesn't meet the minimum requirements to be ranked in Cloud Data Integration while ViaSQL by Adaptigent is ranked 67th in Data Integration. Built.io Flow Embed [EOL] is rated 0.0, while ViaSQL by Adaptigent is rated 0.0. On the other hand, Built.io Flow Embed [EOL] is most compared with , whereas ViaSQL by Adaptigent is most compared with .

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We monitor all Cloud Data Integration 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.