Pentaho Data Integration and Analytics and Matillion Data Productivity Cloud are competitors in the data integration and analytics market. Matillion seems to have the upper hand due to its robust integration with AWS services and cloud support, offering faster data transformation processes and scalability.
Features: Pentaho Data Integration and Analytics supports various data sources, big data technologies, and integrates seamlessly with multiple databases and file types. It features an intuitive graphical interface and powerful ETL capabilities. Matillion Data Productivity Cloud also boasts strong integration features with AWS services, ease of use, and cloud environment support, facilitating fast data transformation processes.
Room for Improvement: Pentaho requires better logging capabilities, scheduling, and backward compatibility, along with improved administration tools and an updated interface. Matillion could enhance real-time data handling, integrate with more cloud sources, and offer better cost-efficiency for large data processes. Both products need improvement in scalability and handling large data volumes.
Ease of Deployment and Customer Service: Pentaho is versatile, suiting both on-premises and hybrid cloud deployments, but often depends on community support, with some issues in response times and documentation. Matillion is geared towards cloud environments with high customer satisfaction in technical support, though it may limit flexibility for on-premise users.
Pricing and ROI: Pentaho offers a cost-effective solution with strong ROI, particularly with its free Community Edition, noted for affordability compared to other ETL tools. Matillion, though more expensive due to its pay-as-you-go model influenced by data team size and EC2 instance usage, reportedly delivers positive ROI through efficient data processing and scalability.
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.
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.
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.
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.
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.
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 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 | 18 |
| Large Enterprise | 29 |
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
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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