Overview
Product Information on AWS Glue
What is AWS Glue?
AWS Glue Pricing
Overall experience with AWS Glue
“Implementar AWS Glue es rápido aunque la configuración requiere navegar varias pantallas”
“Great for Batch Processing, room for improvement for real time”
About Company
Company Description
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
Company Details
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
User Sentiment About AWS Glue
Reviewer Insights for: AWS Glue
Deciding Factors: AWS Glue Vs. Market Average
Performance of AWS Glue Across Market Features
AWS Glue Likes & Dislikes
Nos encanta la facilidad de implementación con baja configuración, empezar a gestionar los datos en tablas de AWS Glue nos fue bastante rápido con casi nula configuración por parte del usuario. La velocidad de AWS Glue es otro aspecto que nos encanta, cuando con otros proveedores el indexado demoraba, con AWS Glue no fue un problema.
Read Full Review1. Serverless and Scalable ETL with Spark: AWS Glue removes the infrastructure overhead and automatically scales based on data and compute requirements. 2. Hive compatible metadata store i.e. AWS Glue Data Catalog 3. AWS Glue Crawlers can automatically infer schema from semi-structured data like JSON. Crawler runs every hour and also updates the Data Catalog.
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La configuración si bien es mínima, requiere ir saltando entre muchas pantallas confusas. Tablas por un lado, bases de datos por otro, ingesta por otro, y costos en otro totalmente distinto. Nos encantaría ver en un futuro un producto donde todo esté integrado en el mismo dashboard del servicio; cómo en otros productos de AWS. También, un punto negativo a destacar es que el producto cuenta con nulas funciones de IA, a comparación de la competencia.
Read Full Review1. Cold Start and Latency as Spark containerization takes 30-90 seconds for initialization, so even small takes minimum of 1.5-2 mins. 2. Glue Stream lacks flexibility and falls behind lower latency tools in the market. 3. Difficult to monitor as logs are scattered across CloudWatch.
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Peer Discussions
AWS Glue Reviews and Ratings
- Security Analyst50M-1B USDSoftwareReview Source
Implementar AWS Glue es rápido aunque la configuración requiere navegar varias pantallas
Utilizamos AWS Glue para toda la gestión automática de logs provenientes de AWS CloudTrail y AWS WAF, con una experiencia general agradable, aunque algunos aspectos a mejorar en la interfaz web. - DATA ANALYST<50M USDManufacturingReview Source
GlueによるRDS連携は導入や運用が簡便で効率的だった
GlueはRDSからのデータ連携にとても役立った。大量データに対応し、構築から運用までがスムーズだった。 - ENGINEER50M-1B USDIT ServicesReview Source
Great for Batch Processing, room for improvement for real time
AWS Glue is a great tool for batch processing but needs improvement for real time ingestion and processing. Its serverless capabilities enable data engineers to focus on data transformations rather than operational overheads. - OPERATIONS LEAD<50M USDSoftwareReview Source
Developer Productivity Enhanced by AWS Glue’s Automation and Cost-Effective Solutions
AWS Glue is a great tool for ETL jobs. It is easy to manage and integrates really well with other AWS services. Best part is that it is an AWS managed service and is fully scalable which can handle large datasets. - ANALYTICS & BUSINESS INTELLIGENCE DIRECT1B-10B USDBankingReview Source
Serverless Data Integration Offers Scalability But Requires Advanced Engineering Skills
Strong serverless data integration that scales well. Good for ETL, cataloguing and orchestration but requires engineering skills to get the most out of it. Overall a positive experience.