AWS Glue vs. CloverDX

One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.

Incentivized

CloverDX designer as a standalone is well suited for fairly straightforward transformations of data. If you want to do large scale data integrations, then their server edition adds an extra level of automation and job control.

Incentivized

• It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
• As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
• It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.

Incentivized

• Connects with Salesforce very well
• The graphical view of the transformations allows for easy creations and maintenance
• Support has always been eager to assist with any graph creation difficulties I run into

Incentivized

• In-Stream schema registries feature people can not use this more efficiently
• in Connections feature they can add more connectors as well
• The crucial problem with AWS Glue is that it only works with AWS.

Incentivized

• The initial learning curve is a little steep. Not very steep or super steep, just a little steep.
• Having enough memory for large multi-step problems can be an issue if the graph isn't designed well.

Incentivized

While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration

Incentivized

Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.

Incentivized

While CloverDX has an active forum for users to submit questions and assist with answers, their in house support team is incredibly responsive when I've contacted them for assistance. This seems almost at odds with most other software companies who try to save money on tech support by promoting a forum or knowledge base.

Incentivized

AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.

CloverDX was a less expensive alternative to Talend and had a more intuitive interface from what I could see during the evaluation.

Incentivized

• We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
• One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing

Incentivized

• Work that use to take multiple people 20 to 30 hours a week to complete each has now been fully automated to where only 1 or 2 hours a week for maintenance is required.

Incentivized