SAS Data Management and Matillion Data Productivity Cloud are leaders in data management, each with distinct strengths. Matillion often has the upper hand due to its ease of use and cost-effectiveness.
Features: SAS Data Management offers extensive data quality, integration, and governance tools, alongside robust monitoring and flexibility in connecting to varied data sources. It supports quick analytics development. Matillion Data Productivity Cloud is known for rapid ETL setup, cloud platform integration like AWS, and its intuitive design for easy use.
Room for Improvement: SAS Data Management needs better pricing models, improved database connectivity, and a simpler installation process. Matillion could enhance its update frequency to keep up with API changes and expand integration with more ecosystems, including governance tools.
Ease of Deployment and Customer Service: SAS operates on-premises with substantial technical support, though integration into SAS infrastructure has affected service quality. Matillion primarily utilizes public cloud deployments, offering robust support that simplifies deployment.
Pricing and ROI: SAS Data Management is often seen as costly for smaller organizations, despite its high ROI potential through efficiency. Matillion provides a flexible, cost-aware pricing model with pay-as-you-go options, ensuring competitive ROI by lowering operational costs.
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 autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
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.
From my experience, SAS Data Management is an expensive tool.
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.
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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