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Skyvia vs Striim comparison

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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
62nd
Ranking in Cloud Data Integration
29th
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
46th
Ranking in Cloud Data Integration
25th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Streaming Analytics (22nd)
 

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Skyvia is 0.7%, up from 0.6% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Striim0.6%
Skyvia0.7%
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.
RV
Data Engineer
Real-time data capture has accelerated releases and now improves trust in our data warehouse
The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do. Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change. The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking. I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.

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 acts as the perfect modern bridge for legacy environments, keeping both our development teams and business stakeholders happy."
"Striim is definitely my data migration tool and data reflection syncing tool. It reduces manual intervention because it automatically syncs the data from the warehouse."
"We were confidently in a situation to call Snowflake as a single source of truth, and I believe with Striim, we were able to do that because without Striim, the SLA would be much higher, and there would not have been much confidence in Snowflake."
"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 the initial schema mapping tool in Striim can have a learning curve when dealing with deeply nested mainframe structures or complex copybooks."
"I think Striim could be improved with better pricing and enhanced documentation."
"The user experience of triggering alerts if there's any lag which Striim identified, which is not normal, could intrinsically be done by Striim."
"I would say Striim performance needs improvement because we use more GoldenGate, so I tend to compare GoldenGate with Striim."
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Top Industries

By visitors reading reviews
Construction Company
15%
Performing Arts
15%
Outsourcing Company
10%
Comms Service Provider
8%
Retailer
16%
Construction Company
13%
Healthcare Company
12%
Financial Services Firm
10%
 

Company Size

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

Questions from the Community

Ask a question
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What is your experience regarding pricing and costs for Striim?
It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.
What needs improvement with Striim?
The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the c...
What is your primary use case for Striim?
We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest in...
 

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, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
914,322 professionals have used our research since 2012.