Sep 09, 2021
We have experiences only in Pentaho Data Integrator (open source competitor of the Oracle Data Integrator).
But OLAP exporting wasn't in our scope until now.
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration.
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.
We actually achieved the first 18 months worth of work in the first six months.
Communication with the vendor is challenging
The first line of support needs to be more knowledgeable.
Pentaho Data Integration handles larger datasets better.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
It processes large volumes of data quickly.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Pentaho Data Integration is very friendly, it is not very useful when there isn't a lot of data to handle.
Within the South African context, if you are getting your enterprise agreement from First Technology, they don't provide support.
The logging capabilities could be improved, particularly for error logging.
SSIS has a difficult learning curve when dealing with complex transformations.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Data management could also encompass APIs and real-time streaming data integration.
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's easy to use and friendly, especially for larger data sets.
I would rate it at a 10 as it is highly reliable; we have never had any problems with it.
The challenge lies in Microsoft withdrawing a lot of the qualifications and watering down its emphasis, leading to a perception that this is supposed to be an elite product.
One of the best aspects of SSIS is that it is built into Microsoft SQL Server, so there are no additional costs involved.
Having access to Talend support directly from TNC proved quite beneficial.
| Product | Market Share (%) |
|---|---|
| SSIS | 5.7% |
| Talend Data Management Platform | 1.1% |
| Pentaho Data Integration and Analytics | 1.7% |
| Other | 91.5% |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 16 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 8 |
Pentaho Data Integration stands as a versatile platform designed to cater to the data integration and analytics needs of organizations, regardless of their size. This powerful solution is the go-to choice for businesses seeking to seamlessly integrate data from diverse sources, including databases, files, and applications. Pentaho Data Integration facilitates the essential tasks of cleaning and transforming data, ensuring it's primed for meaningful analysis. With a wide array of tools for data mining, machine learning, and statistical analysis, Pentaho Data Integration empowers organizations to glean valuable insights from their data. What sets Pentaho Data Integration apart is its maturity and a vibrant community of users and developers, making it a reliable and cost-effective option. Pentaho Data Integration offers a range of features, including a comprehensive ETL toolkit, data cleaning and transformation capabilities, robust data analysis tools, and seamless deployment options for data integration and analytics solutions, making it a go-to solution for organizations seeking to harness the power of their data.
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.
