

Pentaho Data Integration and Analytics and SAS Data Management compete in the data management category. Pentaho holds an edge with its lower cost and open-source versatility, whereas SAS excels in a corporate setting with its advanced capabilities at a higher price point.
Features: Pentaho is known for its intuitive drag-and-drop interface and broad database connectivity, including Hadoop and big data technologies. Its open-source nature and strong ETL capabilities make it appealing for developing data pipeline templates rapidly. SAS, on the other hand, provides solid data quality management with extensive source support and analytical tools, making it a reliable option for larger organizations.
Room for Improvement: Pentaho users seek improvement with large data set performance, better documentation, and enhanced cloud connectors. SAS users mention high costs, complex installation, and call for improved documentation and easier integration with Python and R. Enhanced cloud integration is also desired.
Ease of Deployment and Customer Service: Pentaho's flexibility supports on-premises, public, and hybrid cloud environments, benefitting from strong community support for its free edition. SAS is limited to on-premises deployment but offers solid technical support, albeit with a greater cost concern for users.
Pricing and ROI: Pentaho's open-source community edition provides cost savings while maintaining functionality, with a strong ROI through reduced ETL times. SAS's comprehensive solutions justify its expense in large enterprises, though its high cost may deter smaller businesses from accessing its complete range of features.
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.
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 support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
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.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
| Product | Market Share (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.5% |
| SAS Data Management | 1.1% |
| Other | 97.4% |

| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 17 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| 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.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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