IBM App Connect and AWS Glue are competitive tools in the data integration category. AWS Glue seems to have the upper hand due to its seamless integration with AWS services and cost-effective pricing model.
Features: IBM App Connect offers robust integration with minimal coding and a wide range of pre-built adapters for complex environments. It integrates well with IBM products like WebSphere, ensuring reliability and security. AWS Glue provides automated data cataloging, a serverless architecture for efficient ETL processes, and a no-code, drag-and-drop interface.
Room for Improvement: IBM App Connect could enhance logging capabilities, expand support for more adapters, and improve CI/CD functionalities. It also requires easier installation and better support channels. AWS Glue needs better support for non-AWS environments, improved interface, and reduced complexity in configuring connections and managing pipelines.
Ease of Deployment and Customer Service: IBM App Connect offers deployment flexibility across on-premises and hybrid cloud environments. Support receives mixed reviews for responsiveness. AWS Glue, operating in cloud settings, generally provides timely support, though handling complex queries needs improvement.
Pricing and ROI: IBM App Connect has costly licensing based on consumption and endpoints; however, users see ROI over time. AWS Glue's pay-as-you-go model offers cost efficiency, appreciated for its flexibility, though large-scale deployments may increase costs.
I advocate using Glue in such cases.
Upgrades occur every four months, and new developments coincide with version updates.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The technical support from IBM is good.
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.
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
As a managed service, it reduces management burdens.
IBM App Connect occasionally crashes for various reasons, requiring problem-solving intervention.
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.
Learning the latest functionalities is crucial, and while challenging, it is a vital part of staying current and ensuring an efficient ETL process.
I find it particularly good for on-premises and now cloud use.
Version 13 includes around 200 features with cloud platform compatibility.
Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.
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.
For insurance companies with simple JDBC connections, the process is straightforward.
AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.
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.
I think if I'm working with big data, common languages like Python work quite nicely, which is advantageous.
The features I find most valuable are message routing, message transformation, and protocol translation.
File operations are simple to execute, and converting between XML to JSON formats is effortless with IBM App Connect.
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.
Rapidly connect public clouds, private clouds and on-premises application
App Connect Professional is IBM’s cloud integration offering which delivers an integration solution
• With ease-of-use, flexibility and increased responsiveness to the evolving business needs, while removing the daunting complexities of integration.
• Provides the powerful combination of a ‘simple integration experience’ for business users looking to automate how their applications talk to each other; coupled with a ‘configuration based integration’ approach for IT.
• App Connect Professional is for the teams and integration developers who need to solve more complex problems and need powerful tooling for integration scenarios
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