Denodo and AWS Glue compete in the data integration and data virtualization category. Denodo appears to have an advantage in data virtualization and integration capabilities, while AWS Glue has the upper hand in seamless integration with AWS services and serverless capabilities.
Features: Denodo is preferred for its strong data virtualization features, allowing data abstraction and integration with multiple sources, including flat files and cloud databases, without moving data physically. AWS Glue stands out for its serverless architecture and smooth AWS services integration, offering a flexible data processing interface, efficient ETL features, and a robust data catalog.
Room for Improvement: Denodo users suggest enhancements in data catalog capabilities, improved connectivity, and better integration with metadata systems, alongside more comprehensive support and documentation. AWS Glue could benefit from improved user-friendliness, more intuitive documentation, and a smoother experience for non-technical users. Concerns include high costs, rigid pricing structure, and integration challenges with non-AWS tools.
Ease of Deployment and Customer Service: Denodo supports various deployment models such as on-premises, hybrid, and cloud, offering flexibility but sometimes faces integration challenges and mixed customer support reviews. AWS Glue excels in cloud environments and benefits from the AWS ecosystem, yet could improve in responsive support and ease of use for new AWS users. Its deployment is straightforward for existing AWS users but can present a learning curve for newcomers to AWS services.
Pricing and ROI: Denodo can be expensive and often structures pricing on CPU usage, posing predictability challenges, but offers ROI through improved processing times and decision-making abilities. AWS Glue's pay-as-you-go model supports scalability but may incur higher costs during peak usage, justifying expenses through efficient AWS integration. While ROI is visible in data processing, initial costs might be a hurdle for smaller businesses.
I advocate using Glue in such cases.
AWS's documentation is reliable, and careful reference often resolves missed upgrade details.
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.
For jobs requiring multiple RAM usage, we increase the number of workers accordingly.
It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.
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.
AWS Glue is highly stable, and I would rate its stability as nine.
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.
Migrating jobs from version 3.0 to 4.0 can present compatibility issues.
With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.
A more user-friendly and simpler process would help speed up the deployment process.
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.
AWS charges based on runtime, which can be quite pricey.
The smallest cost for a project is around €700, while the largest can reach up to €7,000 based on the scale of the usage.
Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.
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.
For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.
AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.
I think if I'm working with big data, common languages like Python work quite nicely, which is advantageous.
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.
AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.
AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.
The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.
AWS Glue Features
AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:
AWS Glue Benefits
AWS Glue offers a wide range of benefits for its users. These benefits include:
Reviews from Real Users
Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.
Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.
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.
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