When assessing the two solutions, reviewers found Amazon Redshift easier to use and administer. However, reviewers felt that AWS Glue was easier to do business with overall. Finally, reviewers felt that the products are equally easy to set up.
Reviewers felt that Amazon Redshift meets the needs of their business better than AWS Glue.
When comparing quality of ongoing product support, reviewers felt that Amazon Redshift is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of AWS Glue over Amazon Redshift.
AWS Glue helps you build a data pipeline which can be used for data visualization or storing the data after transforming it in glue using pyspark.
it can...Read more
What are the main components of AWS Glue?
2 Comments
MR
AWS Glue is a fully managed ETL (Extract, Transform, Load) service that simplifies the process of preparing and loading data for analytics. Its...Read more
What are the features of glue?
1 Comment
RV
AWS Glue is a fully managed extract, transform, and load (ETL) service offered by Amazon Web Services.
Features of AWS glue are
1.Data Catalog: AWS Glue...Read more
Should I use with a data mart for a frontend tool that make request on it ?
3 Comments
NM
Hi Mehdi
Can you elaborate your question?
AWS Redshift is a DataBase/Data Warehouse service, which is Ideal for Analytical use cases.
You can...Read more
When can I use Amazon redshift?
3 Comments
PG
Redshift is big data warehousing solution to handle petabytes of data and also for real time decisions. If you want highly optimized data warehousing...Read more
What are the characteristics of redshift?
2 Comments
AK
Redshift is mainly used for Big data and analytics to store the data in columner format. Retrieve the data is very fast and parallel processing also most...Read more
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