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Vertica BYOL, Red Hat

Micro Focus | 10.0.1-6

Linux/Unix, Red Hat Enterprise Linux 7.5 - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

1 AWS reviews
  • 5 star
    0
  • 1
  • 3 star
    0
  • 2 star
    0
  • 1 star
    0

External reviews

96 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Consultant in Information Technology and Services

Performance

  • January 18, 2021
  • Review provided by G2

What do you like best?
The peer nodes in a Cluster and distribution of query from the requester to executer
What do you dislike?
Interactive - should be more GUI interactive
What problems are you solving with the product? What benefits have you realized?
query planning, performance tuning


    Retail

Great technology for compact data storage, real time processing and optimal performance.

  • January 06, 2021
  • Review provided by G2

What do you like best?
Columnar storage, projections, Documentation.
What do you dislike?
support, lack of community and stability.
What problems are you solving with the product? What benefits have you realized?
Business usecase, historical data analysis.


    Hospital & Health Care

its a robust Db

  • January 05, 2021
  • Review provided by G2

What do you like best?
its robust and very fast and works best with large databse
What do you dislike?
less supported and not much technical communities
What problems are you solving with the product? What benefits have you realized?
its help moving things faster and querying faster
Recommendations to others considering the product:
Good for robust Database


    Ivan P.

One of the best analytical DBs I've used

  • December 23, 2020
  • Review provided by G2

What do you like best?
Speed, reliability, well-written documentstion
What do you dislike?
I can't recall anything I disliked, therefore I'll say none
What problems are you solving with the product? What benefits have you realized?
KPI calculations, preparing data for dashboards and business reviews
Recommendations to others considering the product:
It's fast, it's good, it well-documented. Use it.


    Retail

Data Engineering using Vertica for 5 years

  • December 22, 2020
  • Review provided by G2

What do you like best?
It is a great solution for massive data warehouse application building.
What do you dislike?
It is very costly and was not cool with multiple users accessing it at once.
What problems are you solving with the product? What benefits have you realized?
Our data warehouse was based on Vertica. Its parallel processing and thus query execution is quite good.
Recommendations to others considering the product:
Use it for computation and processing but do not expose to it transactional users


    Prabhjot K.

Great Db experience

  • December 22, 2020
  • Review provided by G2

What do you like best?
column orientation: Data is stored in form of columns rather than rows.
What do you dislike?
Deletion is tough in Vertica esp in large tables.
What problems are you solving with the product? What benefits have you realized?
Fast query Performance


    Computer Software

Interesting and powerful database

  • December 16, 2020
  • Review provided by G2

What do you like best?
Simplicity while using, stability. EON mode is something very useful especially when talking big data.
What do you dislike?
Query sometimes lock tables and then it is necessary to use console to end queries. But this also can be a query tool problem.
What problems are you solving with the product? What benefits have you realized?
I am working with data warehouse tools and Vertica is working much faster than our previous database. So I can say it is DWH frendly tool.
Recommendations to others considering the product:
Very fast and reliable. Try it and you wont regret it.


    Akshay B.

processing speeds much better than traditional databases ans also easy to setup as well as query

  • December 12, 2020
  • Review verified by G2

What do you like best?
As we work on servers which receive huge amount of requests per day, integration with vertica for logging all the requests is very efficient as per my perspective. Vertica hds never disappointed ne till now.
What do you dislike?
Databases with big catalog size may takes longer to start, also sometimes you have keep on pressing yes for a prompt while starting big databases
What problems are you solving with the product? What benefits have you realized?
Processing speed was a major problem which vertica does in seconds,also integrating tradition databases with streaming application s was a pain, which vertica resolved by providing inbuilt schedular.
Recommendations to others considering the product:
If your company needs good processing speeds for huge amount of traffic data to be stored Vertica is always a Good to go over the traditional databases. It is easy to setup as well as vertica has a deep documentation how to do it, easy to query, integrate with other applications and use as well


    Computer Software

Analysis tool for SQL engine

  • December 10, 2020
  • Review provided by G2

What do you like best?
It's analytics of data as well as Parallel processing SQL engine
What do you dislike?
Nothing for dislike every part is amazing
What problems are you solving with the product? What benefits have you realized?
Fast access as well as Parallel processing SQL base Engine.fast processing


    Jeetendra M.

Excellent MPP system for Analytics

  • December 09, 2020
  • Review provided by G2

What do you like best?
Very easy installation. Robust architecture to store and process terabytes of data very quickly
What do you dislike?
When it comes to GUI based system management it isn't efficient. Also currency is an issue.
What problems are you solving with the product? What benefits have you realized?
We were working on analytical reporting based on very large number of records, which could not be done using other databases. But with Vertica we could get the results pretty fast for business to make timely decisions. Storing and retrieving data is super efficient.
Recommendations to others considering the product:
Consider it for Data mart type of applications where you need to do specific analytics based out of Teradata bytes of data.