Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.
I advocate using Glue in such cases.
AWS's documentation is reliable, and careful reference often resolves missed upgrade details.
I find the technical support from Oracle to be good.
It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.
For jobs requiring multiple RAM usage, we increase the number of workers accordingly.
AWS Glue is highly stable, and I would rate its stability as nine.
The solution is stable.
A more user-friendly and simpler process would help speed up the deployment process.
With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.
Migrating jobs from version 3.0 to 4.0 can present compatibility issues.
The mapping is a bit complex, so configuration is not very easy for a new user.
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.
AWS charges based on runtime, which can be quite pricey.
Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.
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.
Additionally, it provides a wide variety of built-in adapters for many cloud providers, such as Azure Blob and AWS S3.
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.
Oracle Integration Cloud Service is a cloud-based integration tool that seamlessly integrates on-premise applications with Oracle Cloud (SaaS) or other cloud apps (for example, Workday, Salesforce, etc.) to other cloud apps. Oracle’s solution combines all the capabilities of application integration, process automation, visual application building, and integration analytics into a single unified cloud service. The solution offers real-time and batch-based integration, structured and unstructured processes, case management, stream analytics, and integration insight. All of these capabilities together allow users to service all their end-to-end integration needs in one cohesive platform.
Oracle Integration Cloud Service Features
Oracle Integration Cloud Service has many valuable key features. Some of the most useful ones include:
Oracle Integration Cloud Service Benefits
There are many benefits to implementing Oracle Integration Cloud Service. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Oracle Integration Cloud Service is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it has good adapters, is user friendly, and produces a solid ROI.
Rishabh S., Business and Technology Delivery Associate Manager at Accenture, says, “It has good performance, easy integration, is user-friendly, and also has helpful technical support. The dashboard provided by Oracle Integration Cloud for monitoring and error handling is very intuitive. You do not need a third-party dashboard or logging framework when you initiate the integration. There are a lot of adapters, which is what I like the most.”
“The most valuable features of this solution are the SFTP adapters, file adapters, and risk adapters, that we use in everyday projects,” says PeerSpot user Arun N., Technical Manager at a financial services firm.
Kanhaiya C., Solution Architect at Tata Consultancy, explains, "Oracle Integration Cloud Service is a really good product and the ROI is very good with it. It lowers development time. A development cycle that may have taken a year without Oracle Integration Cloud Service can drop down to three or four months with it."
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