

Denodo and Matillion Data Productivity Cloud are major players in the data solutions space. Denodo has the upper hand with its data virtualization prowess, strong community, and performance management, making it ideal for large-scale environments. Matillion stands out due to its ease of use and integration with AWS, making it user-friendly for smaller teams.
Features: Denodo offers robust data abstraction and integration across diverse sources, supported by a vibrant community, and manages complex datasets effectively. Its management of complex datasets and flexible integration options are praised. Matillion is user-friendly, facilitates ETL process visualization, and simplifies AWS integration, reducing the need for extensive scripting. It also offers strong end-to-end data migration capabilities.
Room for Improvement: Denodo could improve its data catalog and enhance interface and documentation for better user accessibility. Matillion needs more frequent updates, better concurrent workload management, and improved connectivity options beyond AWS services.
Ease of Deployment and Customer Service: Denodo supports deployment in on-premises, hybrid, and public clouds but has mixed reviews on technical support, with reports of delays. Matillion excels in public and private cloud deployments, especially with AWS, and is praised for responsive customer service, offering direct access to developers.
Pricing and ROI: Denodo targets medium to large enterprises with a higher price, offering discounts for educational uses, yet users report significant ROI through performance enhancements. Matillion offers competitive pricing with a pay-as-you-go model, appealing to various team sizes, and supports easy purchasing via AWS Marketplace.
If you don't need to write a whole ETL to make the data virtualization, you need way fewer people to write a query instead of writing an ETL pipeline.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
They have a good methodology for learning how to use the tool.
Denodo's customer support team is very competent and responsive.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
They communicate effectively and respond quickly to all inquiries.
For huge data requests, it cannot scale automatically; admin action is required.
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
Its complexity in configuring and the requirement to install different connectors for different sources affects its scalability.
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.
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.
The main areas for improvement are AI features and scalability.
For small companies, it's not a solution that most small companies can afford.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
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.
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 supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
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.
| Product | Market Share (%) |
|---|---|
| Denodo | 3.2% |
| Matillion Data Productivity Cloud | 5.1% |
| Other | 91.7% |


| Company Size | Count |
|---|---|
| Small Business | 14 |
| Midsize Enterprise | 6 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
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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