We performed a comparison between Amazon Redshift and Aster Data Map Reduce based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."I have primarily used the Redshift Spectrum feature and found it most valuable."
"Redshift allows you to transform different data formats and consolidate them into one Redshift cluster. This means you can transform various siloed data sources like Excel files and CSV files into Redshift."
"The most valuable feature is its scalability."
"The most valuable feature is that the solution is fully embedded in the AWS stack."
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"It allows for the storage of huge amounts of data."
"We have found Machine Learning use cases are very nice."
"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."
"It's stable and reliable."
"The most valuable feature is the ease of uploading data from multiple sources."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"Pricing is one of the things that it could improve. It should be more competitive."
"The product must become a bit more serverless."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"The refreshment rate of data reaching Redshift from other sources should be faster."
"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."
"It is hard for some of our users to set up rules for cleansing and transforming data, so this is something that could be improved."
"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."
"There are some ways that the handling of unstructured data could be improved."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 57 reviews while Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews. Amazon Redshift is rated 7.8, while Aster Data Map Reduce is rated 7.4. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Aster Data Map Reduce writes "Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud ". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Microsoft Azure Synapse Analytics, Vertica and Teradata, whereas Aster Data Map Reduce is most compared with .
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