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."Redshift Spectrum is the most valuable feature."
"Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."
"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"The solution has very competitive pricing."
"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."
"The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."
"The most valuable feature is the scalability, as it grows according to our needs."
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."
"The most valuable feature is the ease of uploading data from multiple sources."
"It's stable and reliable."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"The product must become a bit more serverless."
"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."
"The OLAP slide and dice features need to be improved."
"It would be good to see Redshift as a serverless offering."
"What would make Amazon Redshift better is improvising on the pricing structure. For example, Acronis provides backups in cybersecurity, yet the pricing is a bit lesser than Amazon Redshift."
"The solution is unable to work fast."
"It takes a lot of time to ingest and update the data."
"It would be useful to have an option where all of the data can be queried at once and then have the result shown."
"There are some ways that the handling of unstructured data could be improved."
"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."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 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, Teradata, Vertica and Microsoft Azure Synapse Analytics, whereas Aster Data Map Reduce is most compared with .
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
