SAS Data Management and Matillion Data Productivity Cloud are competitors in the data management and ETL market. Matillion seems to have the upper hand in user-friendliness and ease of setup, appealing to a broader user base with its seamless integration with AWS.
Features: SAS Data Management provides ETL capabilities, data standardization, and verification, ensuring data consistency across enterprises. It supports cloud and big data environments allowing cross-functional integration. Matillion Data Productivity Cloud is known for its intuitive interface and strong integration with AWS services. It excels in ETL and end-to-end data migration with built-in verification and sampling features, making it user-friendly and efficient.
Room for Improvement: SAS Data Management has issues with inflexible licensing models, high costs, and limited connectivity and integration capabilities. Users desire enhanced documentation. Matillion requires more frequent API releases, better backend integration, and improved database connectivity. Scalability and concurrent workload processing need enhancement, though there are plans to address these.
Ease of Deployment and Customer Service: SAS Data Management is primarily on-premises with some hybrid cloud options. Technical assistance is often needed for complex issues, and users suggest improvements in customer support. Matillion primarily operates in the public cloud, offering scalable deployment and accessible support through AWS Marketplace, suiting dynamic environments.
Pricing and ROI: SAS Data Management is perceived as expensive but justified by its capabilities, especially valuable in regulated industries like pharmaceuticals. Matillion offers a cost-effective pay-as-you-go pricing through AWS, featuring predictable and adaptable costs based on usage, making it attractive for budget-conscious users.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
They communicate effectively and respond quickly to all inquiries.
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.
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.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
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.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool.
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
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.
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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