

Pentaho Data Integration and Alteryx Designer compete in the data integration tools category. Pentaho leads in flexible data transformation capabilities, while Alteryx stands out for ease of use.
Features: Pentaho Data Integration excels in data transformation and customization, supports numerous data sources, and is open-source, allowing extensive flexibility. Alteryx Designer is known for its user-friendly interface, quick setup, and effective rapid data processing, making it ideal for non-technical users.
Room for Improvement: Pentaho users seek improved performance, smoother cloud integrations, and better documentation. Alteryx faces criticism for its high cost; enhancements in cloud capabilities and additional data integration features are desired.
Ease of Deployment and Customer Service: Pentaho offers flexibility with support for on-premises and hybrid cloud environments, bolstered by strong community support despite limited official aid. Alteryx Designer, mainly on-premises, provides efficient customer service and technical support at higher operational costs.
Pricing and ROI: Pentaho's significant advantage is cost-effectiveness with a free Community Edition, enhancing ROI via reduced development time. Alteryx, criticized for high pricing, is suited for businesses justifying costs through increased operational efficiency.
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.
There are areas where they need to improve response time and overall competence.
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
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.
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.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
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.
The main valuable aspect is the simplicity of use across all features.
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.
| Product | Market Share (%) |
|---|---|
| Alteryx Designer | 1.5% |
| Pentaho Data Integration and Analytics | 1.5% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 18 |
| Large Enterprise | 29 |
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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