

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
IBM App Connect definitely saves significant time, approximately 50 to 60%.
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.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The customer support is available 24/7.
The technical support from IBM is good.
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
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
IBM App Connect is very scalable and a flexible tool.
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.
Some companies require multiple configurations, including ODBC connections, JDBC connections, different BI databases, main databases, and replication servers.
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.
Version 13 includes around 200 features with cloud platform compatibility.
I find it particularly good for on-premises and now cloud use.
Better debugging and observability would help us track any single transaction end-to-end across steps and connectors.
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.
For insurance companies with simple JDBC connections, the process is straightforward.
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.
Overall, 50 to 60% of the time is saved when using IBM App Connect.
The transformation capabilities in IBM App Connect are particularly beneficial.
The features I find most valuable are message routing, message transformation, and protocol translation.
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.


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 21 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 18 |
| Large Enterprise | 29 |
Rapidly connect public clouds, private clouds and on-premises application
App Connect Professional is IBM’s cloud integration offering which delivers an integration solution
• With ease-of-use, flexibility and increased responsiveness to the evolving business needs, while removing the daunting complexities of integration.
• Provides the powerful combination of a ‘simple integration experience’ for business users looking to automate how their applications talk to each other; coupled with a ‘configuration based integration’ approach for IT.
• App Connect Professional is for the teams and integration developers who need to solve more complex problems and need powerful tooling for integration scenarios
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.
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