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Skyvia vs Striim 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

Skyvia
Ranking in Data Integration
57th
Ranking in Cloud Data Integration
26th
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Striim
Ranking in Data Integration
65th
Ranking in Cloud Data Integration
30th
Average Rating
8.0
Reviews Sentiment
5.2
Number of Reviews
1
Ranking in other categories
Streaming Analytics (26th)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Skyvia is 0.7%, up from 0.3% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Skyvia0.7%
Striim0.6%
Other98.7%
Data Integration
 

Featured Reviews

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.
Mario Rodríguez Hernández - PeerSpot reviewer
Arquitecto De Soluciones at a tech vendor with 10,001+ employees
Reliable change data capture has kept critical databases synchronized in real time
I consider the best features that Striim offers to be great performance and a large number of sources and targets that can be connected. Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency and highlights the variety of sources and targets I have used. Striim has had a positive impact on my organization as it has solved stability issues that I had with other tools.

Quotes from Members

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

Pros

"For what it offers, I think this solution is a must for any Delphi programmer."
"Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency and highlights the variety of sources and targets I have used."
 

Cons

"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."
"I think Striim could be improved with better pricing and enhanced documentation."
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Top Industries

By visitors reading reviews
Performing Arts
19%
Construction Company
14%
Outsourcing Company
9%
Computer Software Company
6%
Healthcare Company
14%
Construction Company
14%
Financial Services Firm
13%
Retailer
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Comparisons

 

Also Known As

Skyvia, Skyvia Data Integration
Striim Platform
 

Overview

 

Sample Customers

Boeing, Sony, Honda, Oracle, BMW, Samsung
Sky, UPS, MACY'S, EMAAR, HSBC
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: June 2026.
900,644 professionals have used our research since 2012.