"The installation is very easy to do and understand."
"Its flexibility, and cost. It is reasonably priced."
"The solution's most important aspect is its seamless database."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"The clustering is very good. It allows us to have high availability."
"The most valuable feature is the geometric information done with GeoJSON."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"Speed and resiliency are probably the best parts of this product."
"Allows us to take volumes and process them at a very high speed."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"It has improved my organization's functionality and performance."
"The performance is very good and the aggregate records are fast."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"I have found the solution to be scalable."
"The solution could have more integration."
"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."
"I have found the solution difficult to operate as an administrator."
"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."
"Simplifying the aggregation framework would be an improvement."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"I suppose it could be a little more secure."
"The solution should have better integration."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"Support is an area where it could get better."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"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."
"When it is about to reach the maximum storage capacity, it becomes slow."
"I have found that coding support could be simplified."
"They could improve on customer service."
MongoDB is ranked 1st in NoSQL Databases with 32 reviews while Vertica is ranked 3rd in Data Warehouse with 10 reviews. MongoDB is rated 8.4, while Vertica is rated 9.4. The top reviewer of MongoDB writes "A flexible solution that is cost-effective and developer-friendly". On the other hand, the top reviewer of Vertica writes "Superior performance in speed and resilience makes this a very good warehousing solution". MongoDB is most compared with InfluxDB, Scylla, Oracle NoSQL, Neo4j and HPE Ezmeral Data Fabric, whereas Vertica is most compared with Snowflake, Amazon Redshift, Teradata, SQL Server and Oracle Exadata.
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