Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The tool has made us tremendously more efficient and saved us a significant amount of money.
Using SSIS has proven cost-effective as there are no additional fees outside the SQL Server license, and it significantly enhances data management efficiency.
The first line of support needs to be more knowledgeable.
It processes large volumes of data quickly.
Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.
SSIS has a difficult learning curve when dealing with complex transformations.
The logging capabilities could be improved, particularly for error logging.
Utilizing SSIS involves no extra charges beyond the SQL Server license.
It was included in our licensing for SQL server, and our licensing for SQL server was extremely cheap, making it a very good price point for us.
It is a very robust tool that can work with many data sources, and its main strength is that it is extremely easy to use.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
SSAS is included in the base installation of SQL Server.
Product | Market Share (%) |
---|---|
SSIS | 5.7% |
Informatica PowerCenter | 6.0% |
Azure Data Factory | 5.2% |
Other | 83.1% |
Product | Market Share (%) |
---|---|
Tungsten RPA | 2.1% |
UiPath Platform | 17.9% |
Microsoft Power Automate | 17.7% |
Other | 62.3% |
Company Size | Count |
---|---|
Small Business | 26 |
Midsize Enterprise | 19 |
Large Enterprise | 57 |
Company Size | Count |
---|---|
Small Business | 11 |
Midsize Enterprise | 1 |
Large Enterprise | 18 |
SSIS is a versatile tool for data integration tasks like ETL processes, data migration, and real-time data processing. Users appreciate its ease of use, data transformation tools, scheduling capabilities, and extensive connectivity options. It enhances productivity and efficiency within organizations by streamlining data-related processes and improving data quality and consistency.
We monitor all 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.