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AWS Database Migration Service vs Skyvia comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on May 11, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

AWS Database Migration Service
Ranking in Cloud Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
32
Ranking in other categories
No ranking in other categories
Skyvia
Ranking in Cloud Data Integration
33rd
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
Data Integration (54th)
 

Mindshare comparison

As of June 2025, in the Cloud Data Integration category, the mindshare of AWS Database Migration Service is 16.4%, up from 15.8% compared to the previous year. The mindshare of Skyvia is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Avinash Gangu - PeerSpot reviewer
Centralizing database tables enhances workflow efficiency for ease of use
I was looking for some content as part of a comparison analysis. However, one of the pain points is that it is way too free-flowing. I have to skim through all the security pages to get to the crux of it. I was looking for a table that suggests which facets such services address with proofs of reference from professional conferences. The document is a 63-page read, making it very difficult to navigate without a summary. I was looking for a summary at the start, however, if I have to do it myself, I might as well integrate from AWS Docs and then Informative Exchange. The current document contains a lot of information, which is great, but there needs to be a summary indicating the story's essence. Unless there's a correction, it is not present in the document.
RH
The product works, is simple to use, and is reliable.
Error handling. This has caused me many problems in the past. When an error occurs, the event on the connection that is called does not seem to behave as documented. If I attempt a retry or opt not to display an error dialog, it does it anyway. In all fairness, I have never reported this. I think it is more important that a unique error code is passed to the error event that identifies a uniform type of error that occurred, such as ecDisconnect, eoInvalidField. It is very hard to find what any of the error codes currently passed actually mean. A list would be great for each database engine. Trying to catch an exception without displaying the UniDAC error message is impossible, no matter how you modify the parameters in the OnError of the TUniConnection object. I have already implemented the following things myself. They are suggestions rather than specific requests. Copy Datasets: This contains an abundance of redundant options. I think that a facility to copy one dataset to another in a single call would be handy. Redundancy: I am currently working on this. I have extended the TUniConnection to have an additional property called FallbackConnection. If the TUniConnection goes offline, the connection attempts to connect the FallbackConnection. If successful, it then sets the Connection properties of all live UniDatasets in the app to the FallbackConnection and re-opens them if necessary. The extended TUniConnection holds a list of datasets that were created. Each dataset is responsible for registering itself with the connection. This is a highly specific feature. It supports an offline mode that is found in mission critical/point of sale solutions. I have never seen it implement before in any DACs, but I think it is a really unique feature with a big impact. Dataset to JSON/XML: A ToSql function on a dataset that creates a full SQL Text statement with all parameters converted to text (excluding blobs) and included in the returned string. Extended TUniScript:- TMyUniScript allows me to add lines of text to a script using the normal dataset functions, Script.Append, Script.FieldByName(‘xxx’).AsString := ‘yyy’, Script.AddToScript and finally Script.Post, then Script.Commit. The AddToScript builds the SQL text statement and appends it to the script using #e above. Record Size Calculation. It would be great if UniDac could estimate the size of a particular record from a query or table. This could be used to automatically set the packet fetch/request count based on the size of the Ethernet packets on the local area network. This I believe would increase performance and reduce network traffic for returning larger datasets. I am aware that this would also be a unique feature to UniDac but would gain a massive performance enhancement. I would suggest setting the packet size on the TUniConnection which would effect all linked datasets.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
16%
Government
7%
Manufacturing Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What resources can you use to learn how to utilize AWS Database Migration Service?
As with all AWS products, you are given very useful documentation with AWS Database Migration Service. Before we started using this product, we went over it and we were able to learn the basics an...
Would you recommend AWS Database Migration Service as a cloud data integration tool?
My current company started using AWS Database Migration Service upon my recommendation, and I continue telling people how good of a product it is. However, users should keep in mind a few things. ...
Is AWS Database Migration Service an affordable solution?
Compared to similar solutions, AWS Database Migration Service falls somewhere in the middle price-wise, at least from my experience. This being said, it is not a very affordable solution, especial...
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Also Known As

AWS Data Migration Service
Skyvia, Skyvia Data Integration
 

Overview

 

Sample Customers

Veoci, Trimble, Nasdaq, shaadi.com, Hotelbeds, SysAid, Verizon, Expedia, Pega
Boeing, Sony, Honda, Oracle, BMW, Samsung
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration. Updated: June 2025.
856,873 professionals have used our research since 2012.