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.
Pentaho Data Integration and Analytics and SSIS are competitors in the field of data integration solutions. Based on the available data, SSIS appears to have the upper hand due to its strong integration with Microsoft products and exceptional enterprise deployment capabilities.
Features: Pentaho Data Integration and Analytics is known for its ease of use, support for multiple data sources, and a robust graphical interface. It excels in providing comprehensive capabilities such as big data support and rapid development cycles, with a user-friendly GUI and extensive functionality. In contrast, SSIS is recognized for its seamless integration with Microsoft products, extensive scripting capabilities, scalability, and high performance, making it ideal for enterprise-level deployments. It offers beneficial features for complex data transformations.
Room for Improvement: Pentaho users seek better performance with large datasets, expanded Hadoop utilities support, and improved logging. There is also a need for enhanced error handling and repository management. On the other hand, SSIS users suggest improvements in handling various data sources, better integration, and advanced real-time processing capabilities, with a demand for more native connectors and enhanced debugging features.
Ease of Deployment and Customer Service: Pentaho Data Integration can be flexibly deployed across diverse environments, including on-premises and hybrid clouds, catering to various business needs. While community and enterprise support are available, response times can vary. SSIS, primarily deployed on-premises, offers easy integration within Microsoft ecosystems. Its customer service and technical support receive high ratings, providing reliable enterprise-level assistance.
Pricing and ROI: Pentaho offers competitive pricing with its free Community Edition and subscription-based Enterprise Edition, providing significant ROI through reduced ETL development time and cost savings, especially for open-source users. SSIS, included with SQL Server licenses, offers value through its integration with the Microsoft stack, presenting a favorable pricing model for enterprises already within the Microsoft ecosystem, thus achieving cost-effective data integration solutions.
I have seen a return on investment; my team was able to stay extremely small even though we had a lot of data integrations with many companies.
I can testify to the return on investment with metrics regarding time saved; we have increased our efficiency by about 20 to 30 percent due to the swift migration processes facilitated by the tool.
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.
24/7 assistance is available for the Enterprise Edition.
take the time to understand our business requirements, offering appropriate recommendations.
Communication with the vendor is challenging
The first line of support needs to be more knowledgeable.
It can be scaled well until you reach a point where you need to perform a lot of operations, and the issue arises when it runs out of memory to handle some data.
Pentaho Data Integration handles larger datasets better.
Pentaho Data Integration and Analytics' scalability is commendable, as it allows us to scale up according to our needs.
Performance issues arise due to reliance on a flowchart-based mechanism instead of scripts, which can lead to longer execution times.
I find that version 3.1 is the most stable version I have ever used.
It's pretty stable, however, it struggles when dealing with smaller amounts of data.
It processes large volumes of data quickly.
We should also explore more effective partitioning for parallel processing and fine-tuning database connections to reduce load times and improve ETL speed.
Pentaho Data Integration and Analytics can be improved by working with different environments, specifically the possibility to change the variables, meaning I write my variables only once and can change them for different environments such as production or development.
I also lack the option to use programming languages beyond Python and SQL, and a provision to incorporate Scala code in the scripting component would be beneficial.
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.
I use the community version of Pentaho Data Integration and Analytics, and I do not need additional costs.
The setup cost was minimal, and the pricing experience was pretty good.
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.
Pentaho Data Integration and Analytics has positively impacted my organization because it meant we didn't have to write a lot of custom API back-end processing logic; it did the majority of that heavy lifting for us.
It automates the data workflow, including extraction, cleansing, and loading into warehouses for BI reporting purposes, while also removing duplicates, validating data, and standardizing formats, enabling real-time decision-making.
Pentaho Data Integration and Analytics has positively impacted my organization because it is easier to use, and my knowledge about this work facilitates the translation from the source to my final system.
I would rate it at a 10 as it is highly reliable; we have never had any problems with it.
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 | 4.6% |
| Pentaho Data Integration and Analytics | 1.5% |
| Other | 93.9% |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 18 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 19 |
| Large Enterprise | 57 |
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.
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