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Actian DataCloud vs SWIFTnet FIN comparison

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Actian Logo
Actian DataCloud
21 views|18 comparisons
SWIFT Logo
SWIFTnet FIN
Read 1 SWIFTnet FIN review
1,028 views|840 comparisons
100% willing to recommend
Buyer's Guide
Cloud Data Integration
April 2024
Executive Summary

We performed a comparison between Actian DataCloud and SWIFTnet FIN based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: April 2024).
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769,479 professionals have used our research since 2012.
Featured Review
Use Actian DataCloud?
OleksiiShcherbatiuk
Has strong stability and professional support
Ranking
36th
out of 44 in Cloud Data Integration
Views
21
Comparisons
18
Reviews
0
Average Words per Review
0
Rating
N/A
7th
out of 27 in Business-to-Business Middleware
Views
1,028
Comparisons
840
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Cloud Data Integration
April 2024
Download Free Report
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
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769,479 professionals have used our research since 2012.
Comparisons
Also Known As
DataCloud, Pervasive DataCloud
Learn More
Actian
SWIFT
Overview

Actian DataCloud is a secure, elastic cloud-based platform that integrates cloud and on-premises applications and data. Customers depend on Actian DataCloud to remove friction from data integration while providing universal connectivity, scalability, and enterprise security that is SSAE 16 certified. Actian DataCloud helps free you from data infrastructure concerns so you can focus on business-critical priorities.

FIN enables financial institutions to exchange individual structured (MT and ISO 15022 message formats) financial messages securely and reliably. FIN is used by over 10,800 financial institutions and their corporate customers worldwide to exchange over 22.3+ million messages per day across a wide range of business areas within the banking and securities industries.

FIN value-added processing includes:

  • Message validation to ensure messages are formatted according to SWIFT message standards.
  • Delivery monitoring and prioritization.
  • Message storage and retrieval.

It is based on a distributed processing architecture with full, built-in redundancy to ensure maximum availability.

Sample Customers
Accanto Systems, Groupe Adeo, Medical Data Vision, SecureAlert, TimoCom, IsCool Entertainment, Oxford University CTSU, Pinnergy, The Rohatyn Group
Alcatel-Lucent, Bank of Tokyo-Mitsubishi UFJ, Canadian National Railway, General Electric Company, Huawei, Novartis International, Standard Bank, UniCredit, Volvo
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm58%
Computer Software Company9%
Comms Service Provider4%
Retailer4%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business10%
Midsize Enterprise7%
Large Enterprise82%
Buyer's Guide
Cloud Data Integration
April 2024
Download Free Report
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
DOWNLOAD NOW
769,479 professionals have used our research since 2012.

Actian DataCloud is ranked 36th in Cloud Data Integration while SWIFTnet FIN is ranked 7th in Business-to-Business Middleware. Actian DataCloud is rated 0.0, while SWIFTnet FIN is rated 9.0. On the other hand, the top reviewer of SWIFTnet FIN writes "Has strong stability and professional support". Actian DataCloud is most compared with , whereas SWIFTnet FIN is most compared with SWIFT InterAct.

See our list of best Cloud Data Integration vendors.

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.