Pentaho Data Integration and Analytics and Matillion Data Productivity Cloud compete in the data integration and analytics category. Matillion appears to have an upper hand due to its comprehensive features and cloud integration, despite Pentaho's cost-effectiveness.
Features: Pentaho supports a wide array of data formats such as CSV, JSON, and Hadoop, offering quick development capabilities thanks to its intuitive graphical user interface. It benefits from open-source flexibility and big data compatibility. Matillion stands out for its seamless cloud platform integration like AWS, robust ETL processes, and strong data transformation capabilities, making it user-friendly and compatible with modern cloud data warehousing solutions.
Room for Improvement: Pentaho faces issues with outdated plugins and complex error logging while lacking advanced real-time processing. Users suggest improving support for newer platforms. Matillion, while effective, could benefit from enhanced UI efficiency, more pre-processing features, and better concurrent workload handling. It needs improvements in custom components and native connectors for better compatibility.
Ease of Deployment and Customer Service: Pentaho offers versatile deployment options across on-premises, public, and hybrid clouds, supported by a large community, though its direct customer service can be inconsistent. Matillion is adept in public and private cloud deployments, particularly with AWS. Its technical support is recognized for its responsiveness and efficiency, providing consistent assistance.
Pricing and ROI: Pentaho is praised for its affordability, offering a free Community Edition and a cost-effective Enterprise Edition upgrade. This open-source model offers substantial savings. Matillion's pricing aligns with cloud usage, providing scalability for diverse teams, though at a higher cost. However, the efficient processing on AWS, especially for smaller instances, justifies the expenses by enhancing productivity and reducing development time.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
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.
I have noticed a return on investment with Pentaho Data Integration and Analytics in terms of time savings and staff reduction.
They communicate effectively and respond quickly to all inquiries.
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
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
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.
Its ability to scale horizontally in cloud-native architectures or for massive real-time processing is limited.
Pentaho Data Integration handles larger datasets better.
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.
Connections to BigQuery for extracting information are complex.
The main areas for improvement are AI features and scalability.
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.
Pentaho Data Integration and Analytics could have real-time processing and automatic alerting, having alerts or automatic notifications when a job fails or when certain data doesn't meet certain rules.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
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 company covered it and they had no problem paying for it because they saw that it was cost-effective in terms of performance afterwards.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
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 | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 18 |
| Midsize Enterprise | 17 |
| Large Enterprise | 31 |
Matillion Data Productivity Cloud offers a user-friendly platform for seamless integration and dynamic data handling, favored for simplifying ETL processes with minimal coding and ensuring robust performance in complex data tasks.
Matillion Data Productivity Cloud integrates effortlessly with platforms like AWS, Snowflake, and SQL databases, providing tools for efficient data migration, transformation, and cloud warehousing. It supports large datasets with swift management, making it valued for its graphical interface that eases ETL processes for non-technical users. Automation features ensure scalability and dynamic data handling across diverse sources, while security and cost-effectiveness enhance its appeal. Enhancements in database connectivity, interface design, and multi-environment support would refine user experience, with growing demands for real-time data capture, SAP connectivity, and frequent API updates.
What are the most important features?In industries like finance, healthcare, and retail, Matillion Data Productivity Cloud is implemented for transforming data operations. Companies leverage it for its speed in data processing and integration capability, facilitating rapid adaptation to data-driven insights crucial in these sectors.
Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.
With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation. However, improvements in big data performance, better cloud service integration, and enhanced real-time processing capabilities can enhance user experience. Additional connectors and improved documentation are sought after by many. Providing support for more programming languages and optimizing memory usage also presents opportunities for enhancement.
What are the key features of Pentaho Data Integration and Analytics?Pentaho is employed across finance, healthcare, and retail industries for ETL processes. It's instrumental in integrating data from ERP, SAP systems, Excel, and APIs to develop comprehensive reports and data models. Companies rely on its capabilities for both on-premises and cloud deployments, improving data transparency and management.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
