

Pentaho Data Integration and Fivetran are both prominent tools in the data integration category. Fivetran may have the upper hand due to its simplicity and ease of integration as highlighted in various comparisons.
Features: Pentaho Data Integration offers a robust graphical user interface and supports a wide range of data sources, including big data technologies. With drag-and-drop functionality, it enables users, even with minimal programming knowledge, to quickly execute data transformations. Fivetran excels in providing automated data pipelines and real-time data synchronization. Its integration capabilities are facilitated through pre-built connectors, reducing the need for extensive development work. Both tools have strong points in ensuring efficient data management, with Pentaho appealing to users who prefer flexibility and community-driven support, while Fivetran is suited for those seeking straightforward implementation.
Room for Improvement: Pentaho's performance with large data volumes could benefit from enhancements, specifically in logging and documentation. There is also a need for better support for Hadoop utilities and improvements in user-defined classes. Fivetran requires greater customization options and improved visibility into data pipelines. Lower pricing models could be more attractive to its users, alongside a demand for more comprehensive logging and faster development of new connectors.
Ease of Deployment and Customer Service: Pentaho provides flexible deployment options across on-premises and hybrid cloud environments, though it might necessitate more technical skills for deployment. Its community offers extensive support compensating for less formal backing. Fivetran facilitates seamless cloud and hybrid cloud deployments with strong automation, benefiting users with its more organized and responsive support system.
Pricing and ROI: Pentaho’s Community Edition presents an attractive cost-benefit for cost-conscious organizations, although its enterprise version can become expensive with increased usage. Conversely, while Fivetran's services may come at a higher price, the cost is justified by efficient integrations and lower maintenance requirements. Its scalable pricing based on data volume is especially appealing to larger enterprises with significant data needs.
Fivetran provides time savings, cost reductions, and improvements in data quality.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
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.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Customer support from Fivetran is quite good; it's really nice and responsive.
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
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
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.
They have 99.9% accuracy on the data load and they maintain transparency.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
During the duration of the time that we used Fivetran, it was highly stable.
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.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
I want more flexibility during ingestion, specifically for transformations needed beforehand.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
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.
Our current yearly contract for Fivetran is approximately $70,000.
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 most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
The ability to seamlessly integrate with a large variety of data sources is valuable.
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 (%) |
|---|---|
| Pentaho Data Integration and Analytics | 1.5% |
| Fivetran | 1.7% |
| Other | 96.8% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 18 |
| Large Enterprise | 29 |
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
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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