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What is AWS Glue?
AWS Glue is a serverless data integration service that makes data preparation simpler, faster, and cheaper. You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
87 Likeliness to Recommend
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Since last award
98 Plan to Renew
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Since last award
77 Satisfaction of Cost Relative to Value
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Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+96 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love AWS Glue?
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Efficient Service
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Quality Profiling and Cleansing
Batch Integration
Metadata Management
Administrative Features
Data Security
Synchronization and Replication
Data Virtualization
Multi Channel Support
Real Time Integration
Exception Handling and Notifications
iPaaS
Vendor Capability Ratings
Ease of Implementation
Quality of Features
Vendor Support
Ease of Data Integration
Ease of IT Administration
Business Value Created
Usability and Intuitiveness
Availability and Quality of Training
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Customization
AWS Glue Reviews
Dhruv S.
- Role: Industry Specific Role
- Industry: Electronics
- Involvement: Business Leader or Manager
Submitted Oct 2024
Best ETL tool for Data Lake Management
Likeliness to Recommend
What differentiates AWS Glue from other similar products?
Since it is within the AWS ecosystem, it becomes very easy to connect to other AWS systems like S3, Redshift, and Snowflake. Data crawling from S3 buckets is real-time making the database up to date and reflecting the changes done in SAP, Infor which are integrated into Data Lake through Glue. Current alternates in the market like Talend are not very robust, it is very difficult to troubleshoot complex workflows, and you need skilled manpower, Glue is built in Apache Spark which is pretty common and it's easy to develop.
What is your favorite aspect of this product?
It is a superhouse of solutions with data crawling, database management, and data cataloging it is a one-stop solution for any Data Lake Management and also makes the creation of a Data Table easy. with Python scripts It has a multi-method approach so within the system, it allows ELT or batch processing. You can also put sequential scheduling for the jobs so it can be fully automated and can run multiple jobs without an intervention.
What do you dislike most about this product?
It's not a dislike but more like the ETL is limited to Python or Scala so an advanced Python engineer is required
What recommendations would you give to someone considering this product?
If you have tables in Redshift & Snowflake must try option is Glue and since its use based costing so you can control how much you spend. Look for advanced Python scripters for creating jobs.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Sriharsha K.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Oct 2024
AWS Glue: Transforming Data Integration with Ease
Likeliness to Recommend
What differentiates AWS Glue from other similar products?
AWS Glue operates on a serverless model, meaning users don’t have to manage infrastructure. This allows for automatic scaling, which helps reduce costs and streamline operations, especially during variable workloads and provides seamlessly integrates with other AWS services such as S3, Redshift, RDS, and Athena and includes a central metadata repository known as the AWS Glue Data Catalog, which automatically discovers and organizes data.
What is your favorite aspect of this product?
One of the most appealing features of AWS Glue is its serverless nature. Users don’t need to manage any infrastructure, allowing teams to focus on developing their data workflows rather than handling server configurations and scaling issues and provides a user-friendly interface with a visual workflow editor, enabling users to create ETL jobs without extensive coding knowledge and it can handle large volumes of data and scale automatically as needed. This flexibility is essential for businesses experiencing growth.
What do you dislike most about this product?
AWS Glue can have a steep learning curve, especially for users unfamiliar with AWS services and Debugging jobs in AWS Glue can be challenging. The error messages are not always intuitive
What recommendations would you give to someone considering this product?
AWS Glue works exceptionally well with other AWS services like S3, Redshift, RDS, and Athena. If your organization is already using AWS, Glue can streamline your data workflows and provide a cohesive environment for data management and designed to handle large volumes of data, making it suitable for enterprises that require scalability and provides powerful, it may have a learning curve, especially for users unfamiliar with AWS services. Proper training and exploration of documentation are essential to leverage its full potential.
Pros
- Trustworthy
- Client Friendly Policies
- Fair
- Altruistic
Nitin M.
- Role: Consultant
- Industry: Healthcare
- Involvement: End User of Application
Submitted Oct 2024
Fab Product and Cost effective
Likeliness to Recommend
What differentiates AWS Glue from other similar products?
Cost effective and well architectural framework for efficient data pipeline.
What is your favorite aspect of this product?
Support for data stored across different Amazon RDS
What do you dislike most about this product?
Workflow customisation and data engineering needs improvement
What recommendations would you give to someone considering this product?
Has to be good in data engineering expertise
Pros
- Respectful
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
Cons
- Under Delivered
- Less Inspiring
- Less Transparent
