Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I advocate using Glue in such cases.
For complex Glue-related problems such as job failures or permission issues, their documentation is good, but having direct access to support helps cut down troubleshooting time significantly.
AWS's documentation is reliable, and careful reference often resolves missed upgrade details.
TIBCO's support, especially for integration products, is swift.
It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.
It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.
AWS Glue is highly stable, and I would rate its stability as nine.
There are no significant stability issues as long as the product's capabilities are understood and not overly pushed.
Learning the latest functionalities is crucial, and while challenging, it is a vital part of staying current and ensuring an efficient ETL process.
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.
TIBCO Spotfire and ClickView need improvement in scheduling, which is critical yet lacking in quality.
AWS charges based on runtime, which can be quite pricey.
Regarding AWS Glue's pricing, it is not more expensive; rather, it is very reasonable, but it is not cheap.
Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.
TIBCO Spotfire's pricing is high, particularly in traditional markets like Turkey, impacting market penetration.
AWS Glue is very efficient and integrates well with the AWS ecosystem.
AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.
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.
TIBCO Spotfire integrates with R and Python, offering a differentiator from the competition.
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.
TIBCO Spotfire is a versatile data analytics platform that can handle large datasets and be deployed on-premise or in the cloud. Its dynamic reporting, easy creation of dynamic dashboards, and highly customizable tool make it a valuable asset for process data analysis, industrial performance dashboards, problem root cause analysis, business intelligence, and real-time analytics for IoT devices in the energy sector.
The solution also offers data science functions, map visuals, R and Python integration, and the ability to write HTML and JavaScript text areas. Spotfire has helped organizations deliver projects more efficiently and cost-effectively, allowing for faster data analysis.
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