Matillion Data Productivity Cloud and Azure Data Factory are prominent competitors in the data integration and ETL domain. Matillion is particularly well-suited for businesses heavily utilizing AWS services, while Azure Data Factory stands out in the Azure ecosystem, offering extensive data transformation capabilities.
Features: Matillion Data Productivity Cloud stands out with its diverse range of source-data components, seamless AWS service integration, and specialized features for handling wide tables. Azure Data Factory is noted for its robust data transformation capabilities, flexibility with integration in Azure services, and support for a wide range of connectors.
Room for Improvement: Matillion users are calling for more frequent updates to adapt to API changes and seek better integration with various databases along with enhanced documentation. Azure Data Factory needs improved integration with SAP, simplified pricing structures, and enhanced real-time data management orchestration with clearer documentation.
Ease of Deployment and Customer Service: Matillion offers optimized deployment via AWS Marketplace, showcasing simplicity in procurement and highly responsive support, providing a more personalized customer service experience. Azure Data Factory benefits from flexible deployment across both public and private clouds, fitting seamlessly into existing Azure ecosystems, supported by excellent customer service.
Pricing and ROI: Matillion adopts a predictable pricing model based on usage, appealing to smaller teams with flexibility to start small and scale. However, there is room for improvement in pricing competitiveness. Azure Data Factory employs a pay-as-you-go model, which poses challenges in cost estimation but offers competitive overall pricing. Both solutions deliver ROI within a year, although cost prediction with Azure Data Factory remains a challenge.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
The technical support is responsive and helpful
The technical support from Microsoft is rated an eight out of ten.
The technical support for Azure Data Factory is generally acceptable.
They communicate effectively and respond quickly to all inquiries.
Azure Data Factory is highly scalable.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
The solution has a high level of stability, roughly a nine out of ten.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score.
There is a problem with the integration with third-party solutions, particularly with SAP.
Connections to BigQuery for extracting information are complex.
The pricing is cost-effective.
It is considered cost-effective.
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.
It connects to different sources out-of-the-box, making integration much easier.
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.
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.
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