Denodo and Matillion compete in the data management category, particularly focusing on data integration and efficiency. Denodo has the upper hand in data virtualization, while Matillion excels in ease of integration and ETL processes.
Features: Denodo stands out with data virtualization, a robust data catalog, and seamless integration capabilities that allow connecting various data sources effortlessly. Matillion offers strong ETL processes, swift integration with AWS, and simplification of data extraction and transformation tasks, making it suitable for cloud environments.
Room for Improvement: Denodo could enhance its data catalog functionality and improve integration and user experience. Users also seek more comprehensive documentation and smoother integrations with third-party tools. Matillion requires more frequent API updates, better handling of concurrent workloads, and improvements in backend integrations. Enhancements in documentation and real-time data capture are also needed.
Ease of Deployment and Customer Service: Denodo provides flexible deployments across on-premises, hybrid, and private cloud environments with direct developer support, though user feedback suggests support could be more proactive. Matillion offers simple public cloud deployment via AWS Marketplace, with robust support and easy developer access, emphasizing user-friendly customer service.
Pricing and ROI: Denodo's per CPU pricing is considered expensive but apt for medium to large enterprises, delivering positive ROI through enhanced processing times. Matillion's pay-as-you-go model, charging per running hour on AWS, is more moderate, aligning with its cloud-native strategy, offering cost-effective scalability for operational cost control.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
The documentation is very thorough.
Denodo's customer support team is very competent and responsive.
They are proactive in conducting webinars and connecting with customers.
They communicate effectively and respond quickly to all inquiries.
Its complexity in configuring and the requirement to install different connectors for different sources affects its scalability.
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
I would rate it nine out of ten because it is very reliable, always performing as expected.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Ensuring data caching is up to date is critical.
Denodo needs better communication on how the product can be deployed for specific solutions.
The system has dependencies on other environments, like JVM, which can affect its performance.
Connections to BigQuery for extracting information are complex.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
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.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Denodo is also effective for developing solutions quickly, facilitating user reports, and offering good data governance.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
Denodo is a leading data integration, management, and delivery platform that uses a logical approach to enable data science, hybrid and multi-cloud data integration, self-service BI, and enterprise data services. Organizations of different sizes across various industries utilize the product to get above the data silos. The solution offers organizations the freedom to migrate data to the cloud, or logically unify data warehouses and data lakes, without affecting business. This can ultimately result in the evolution of data strategies.
The platform accelerates data provisioning through reduced data replication, provides business users the freedom to select their preferred applications, and enables consistent security and governance across multiple systems. The solution offers one of the leading logical data fabric solutions by initiating data virtualization and eliminating the complexity and exposing the data in business-friendly formats.
Denodo also offers modern data integration and management for hybrid and multi-cloud environments for Denodo Platform for Cloud. This service can be purchased through the bring-your-own-license (BYOL) option. Users seeking faster deployment can license the product to popular cloud providers, including Amazon AWS, Google Cloud Platform, and Microsoft Azure. The solution integrates, manages, and delivers data in complex environments with high performance, governance, and security. It also offers additional solutions, such as the Denodo Platform for Cloud Modernization, the Denodo Platform for Cloud Data Integration, and the Denodo Platform for Cloud Analytics, which overcome common cloud data challenges.
Denodo Features
At the beginning of 2022, version 8.0 of Denodo introduced several new key features of the platform. These include:
Denodo Benefits
Denodo offers various benefits for its users through its services. Some of the greatest advantages of using this platform include:
Reviews from Real Users
Naresh M., a senior application developer at a financial services firm, appreciates Denodo because it offers quick and simple web services creation.
Alisson M., a senior BigData DevOps engineer at Schaeffler, says that Denodo is great for queries and scouting data.
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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