AWS Glue ETL tool
July 25, 2023
AWS Glue ETL tool
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with AWS Glue
We use AWS Glue to creat Etl pipelines for transforming and moving of data from different data sources like S3, snowflakes, postgres to Redshift and vice versa. Execution of spark jobs is really easy as it has auto generated code which establishes connections with source and target data bases securedly and helps in the cleansing of data like deduplication and performing validations on data. As it is Serverless it will automatically scale up and scale down the memory resources required to run the spark glue job.
- Execution of spark jobs
- Scaling of memory resources
- Crawling the schemas
- Incremental data sync
- Real time data triggers
- Grouping of small files
- Extract
- Transform
- Load
- Spark jobs
- Crawling
- Connections
- Easy to use
- Lesser training required
- Detailed documentation available hence implementation is easy
AWS Glue is easier to use and has more and better features compared to it. And more documentation and tutorials and labs are widely available on the internet about AWS Glue which in turn helps in easier implementation of the spark jobs. Auto scaling is an added advantage. It's Serverless features will make it stand out from others.
Do you think AWS Glue delivers good value for the price?
Yes
Are you happy with AWS Glue's feature set?
Yes
Did AWS Glue live up to sales and marketing promises?
Yes
Did implementation of AWS Glue go as expected?
Yes
Would you buy AWS Glue again?
Yes