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AWS Database Migration Service vs Skyvia comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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
6.4
Number of Reviews
34
Ranking in other categories
No ranking in other categories
Skyvia
Ranking in Cloud Data Integration
26th
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
Data Integration (52nd)
 

Mindshare comparison

As of March 2026, in the Cloud Data Integration category, the mindshare of AWS Database Migration Service is 7.4%, down from 14.7% compared to the previous year. The mindshare of Skyvia is 1.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
AWS Database Migration Service7.4%
Skyvia1.3%
Other91.3%
Cloud Data Integration
 

Featured Reviews

AG
Delivery Head Data Engineering at BAGIC
Streamlines data migration across platforms with cost-effective and scalable solutions
We have the continuous data integration feature, but it does not work very well in our given ecosystem because we have huge data volume, and it reads from archive log rather than the redo sequence. That is where it lacks, so we are not able to do continuous streaming data injection. The ability to handle heterogeneous migrations for our organization is adequate. I do not see a major value add, or see it as a marquee feature. It is a good tool, but we do not have that sort of uses requirement. In my 10 plus years of experience, I do not see that kind of requirement where I have to replicate it in real time. I leverage AWS CloudWatch for addressing migration issues. The major challenges come across CDC. We have created latency filter and everything, but there is no way to control it. Due to the nature of our business, the transactions increase during month end and year end. My transactions are supposed to increase, my workloads on my core system increases, but my DMS is not able to keep up with them, even if I increase it to a higher side. Improvements could be made in AWS Database Migration Service. Because of that, I am moving out of DMS now to a STRIIM solution. DMS works within AWS ecosystem, but they also have to look for third party solutions. Now Snowflake is a bigger player, or Databricks. Something that could be possible as a connector, whether paid or free, but giving as a connector to that ecosystem as well.
RH
CTO & Developer at a consultancy with self employed
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.

Quotes from Members

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

Pros

"It's scalable."
"I am very impressed by the scalability of AWS Database Migration Service."
"The initial setup is very simple and straightforward."
"Support is helpful."
"The main reason clients come to us to do these migrations to AWS is that it's self-managed."
"This efficient workflow has been particularly helpful."
"The process is now simplified because there won't be maintenance, we can automate the backup snapshots and restore them very quickly, and we get many benefits from the application."
"It's pretty useful when we need to migrate something big from a different type of database that AWS Data Migration Services supports."
"For what it offers, I think this solution is a must for any Delphi programmer."
 

Cons

"Migrating from here and pushing the data from on-premise to AWS cloud is a big challenge and a few more services from AWS would be helpful."
"One area that AWS DMS can improve on is its conversion of data types. For example, in Oracle, you have a data type called RAW, but in PostgreSQL there is no such thing. Thus, AWS DMS doesn't know what type I want to use when migrating from Oracle to PostgreSQL, and when performing the migration, AWS DMS changed the RAW data type to the byte data type, which isn't what I wanted."
"We would like to see some improvement in the performance of large scale procedures, such as when we migrate from Oracle to csSQL."
"It is a very expensive program and you pay a license fee based on the amount of users you have."
"More endpoints need to be supported by AWS Database Migration Service. There's also a need for more control and transparency on the product, including better technical support."
"Database Migration Service could be more integrated. I think that it makes sense to add integration to these functions. For example, AWS Glue has a feature called Orchestrator to create data flows, and that's more straightforward."
"I was looking for a table that suggests which facets such services address with proofs of reference from professional conferences."
"The live duplication has a delay of two minutes, which can be an issue."
"Error handling 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."
 

Pricing and Cost Advice

"I would rate the pricing a seven out of ten."
"AWS Database Migration Service is the least expensive solution, but is still expensive."
"I rate the product price a seven on a scale of one to ten, where one is a high price, and ten is a low price."
"For Egypt, the product's prices are high, making it a specific problem in one region and not globally."
"AWS Database Migration Service is very inexpensive."
"The pricing is per hour, though I do not have the exact figures. If you have specific questions about the service, a personal support team from Amazon is available, but this will bring in additional costs."
"The pricing is on the higher side."
"In terms of pricing, I'd rate it an eight out of ten, considering it's a well-priced solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
11%
Manufacturing Company
7%
Government
5%
Performing Arts
20%
Construction Company
12%
Computer Software Company
8%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise8
Large Enterprise17
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: March 2026.
885,376 professionals have used our research since 2012.