We performed a comparison between Aster Data Map Reduce and Vertica based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's stable and reliable."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"The most valuable feature is the ease of uploading data from multiple sources."
"I have found the solution to be scalable."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"The most valuable feature is Vertica's performance and the ease of using the database."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The solution is quick, has good compression data, and is not expensive."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"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."
"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."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"The geospatial functionality could be designed better."
"The integration of this solution with ODI could be improved."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"Very bad support, I would rate it two out of 10."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
Aster Data Map Reduce is ranked 19th in Data Warehouse with 3 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. Aster Data Map Reduce is rated 7.4, while Vertica is rated 8.2. 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 ". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Aster Data Map Reduce is most compared with , whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our Aster Data Map Reduce vs. Vertica report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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