

Pentaho Data Integration and SnapLogic compete in the ETL and data integration category. SnapLogic seems to have the upper hand due to its rapid deployment and scalability based on user preferences.
Features: Pentaho Data Integration is recognized for its open-source accessibility that offers strong ETL capabilities with extensive support for big data technologies. It features a drag-and-drop setup, facilitating the transformation of a wide array of data formats. SnapLogic boasts a low-code environment with a diverse array of connectors that simplify integrations with third-party applications, offering both straightforward and complicated data workflows, along with an intuitive graphical user experience.
Room for Improvement: Pentaho Data Integration could improve performance for big data tasks, enhance error messaging, and ensure timely plugin updates. SnapLogic can enhance its capabilities in managing large datasets and refining its debugging tools, alongside improving API management and customization options for complex integrations.
Ease of Deployment and Customer Service: Pentaho Data Integration offers various deployment options from on-premises to hybrid cloud, although it relies heavily on community forums for customer service, which can vary in responsiveness. SnapLogic excels in cloud deployment, particularly in public and hybrid cloud setups; however, its customer support experiences vary with some users noting a lack of technical depth in addressing complex issues.
Pricing and ROI: Pentaho Data Integration is cost-effective, especially with its free Community Edition offering substantial functionality without licensing costs, resulting in a high ROI. SnapLogic, though it has higher upfront costs, offers flexible usage-based pricing tiers and is perceived to have a good ROI as it enhances complex integration efficiencies.
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.
SnapLogic is really helpful and processes in very little time, so it doesn't take much time compared to any legacy tool.
SnapLogic has helped automate manual data transfers significantly and improved our workflow efficiency, reducing integration development timelines considerably, which reflects a good ROI.
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 technical support from SnapLogic is excellent, and I would give it a complete ten.
Some SMEs are allotted for the organization, so in case of any issue, we have their email IDs to contact them for support, including SMEs and community.
Customer support scales well; as pipeline volume grows, we have been able to add more integrations and users without performance degradation.
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.
I rate the scalability of SnapLogic as eight out of ten.
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.
I would rate the stability of SnapLogic as nearly ten out of ten.
But recently, in a year, I haven't found many performance issues in SnapLogic.
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.
If the AI capabilities and integrations were more intuitive and easy to learn for new users, it would be greatly beneficial.
They can improve more visuals, with graphical representations, such as how many things can be added, how many users can be added or dropped, and how the back-end nodes can be graphically shown in a better way.
I tend to frequently communicate with SnapLogic to ask for additional features, and they have been responsive.
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.
I would say the pricing is on the higher side, but it aligns with the capabilities offered for mid- to large integrations.
There would be only one point of improvement if the price could be lower.
SnapLogic is positioned at around seven or eight out of ten in terms of pricing.
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 also like the whole child-parent pipeline feature; it allows me to break up a process into smaller pieces and then have one big pipeline that controls these smaller pipelines.
The drag-and-drop builder and pre-built snaps have helped our team through a very low-code approach, making it easier for us to develop fast pipelines and be more agile compared to the heavier integration platforms we used before.
I find SnapLogic to be user-friendly, especially for beginners with limited experience in data engineering or ETL.
| Product | Market Share (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.5% |
| SnapLogic | 1.1% |
| Other | 97.4% |


| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 18 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 5 |
| Large Enterprise | 11 |
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.
The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.
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