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Reviews from AWS customer

3 AWS reviews

External reviews

210 reviews
from and

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


    Raghwendra S.

Unified analytics platform

  • November 30, 2023
  • Review provided by G2

What do you like best about the product?
It allows us to work with multi cloud seamlessly and works good with scale
What do you dislike about the product?
Per TB licensing is not very user friendly and difficult to work with
What problems is the product solving and how is that benefiting you?
OpenText Vertica allowed us to setup a multi cloud data warehouse solution for one of the client


    Shubhan P.

Review on vertica

  • November 21, 2023
  • Review provided by G2

What do you like best about the product?
I personally like theflexibility of vertica's projections of tables.It allows us to modifyprimary projection without altering the tables.
What do you dislike about the product?
I think the database setup is quite simple but the documentations could be improved a little bit.For example if 3 nodes are runnind and 1 node is down the other two nodes dont scale up.
What problems is the product solving and how is that benefiting you?
Its solving the client side ease of usage. Clients can easily compress and code the data based on their need.


    Broadcast Media

Vertica Big Data Analytics Platform

  • November 16, 2023
  • Review provided by G2

What do you like best about the product?
As a big data Engineer This Platofrm is more useful for analtics on huge data platform.
It provides the business insights more acuratively as compared to other data wareshouse.
easily to work on all the major clouds.
more advantages on machine learning analysis.
What do you dislike about the product?
its difficult to implement on legacy platform on map reduce and hadoop.
needs improvments on on premises clouds.
What problems is the product solving and how is that benefiting you?
More on the data warehouse it uses ..same thing and improves on the scaling on huge data analytics..


    Kuldeep S.

Excel your Excellency

  • November 16, 2023
  • Review provided by G2

What do you like best about the product?
OpenText Veryica excels in understanding context, generating coherent responses, and aiding various natural language processing tasks. Its strengths lie in its versatility, adaptability, and the ability to provide contextually relevant information based on input. Users benefit from its capacity to handle diverse language-related queries and tasks effectively.
What do you dislike about the product?
As of now there is nothing.
I will feel free to mention if I will have anything.
What problems is the product solving and how is that benefiting you?
It is very effective and efficient.


    Sima Alexandru

A user-friendly tool that needs to improve its documentation part

  • November 08, 2023
  • Review from a verified AWS customer

What is our primary use case?

In my company, we use Vertica as it's a tool meant to serve as database performance software and to make some selections, including some usual activities on a database revolving around options like select, insert, update, delete, and a few more.

What is most valuable?

The best thing about Vertica is that it is a supportive database performance software. Generally, the tool is used for performance and KPIs.

What needs improvement?

In my opinion, nothing needs improvement in the solution as it is a great product.

The documentation of Vertica is an area with shortcomings where improvements are required.

Vertica needs to increase its sustainability in the future.

For how long have I used the solution?

I have been using Vertica for two years. I am a user of the product.

What do I think about the stability of the solution?

The stability offered by the product depends on various factors. Honestly, in my company, we encounter some problems with Vertica, though it is something that depends on the applications for which one uses it. I consider the stability of Vertica to be okay.

What do I think about the scalability of the solution?

Around 100 people in my company use Vertica.

How was the initial setup?

The product's initial setup phase is extremely simple.

The solution is deployed on the cloud.

What's my experience with pricing, setup cost, and licensing?

Vertica is an expensive tool.

Which other solutions did I evaluate?

My company chose Vertica over other products since I think that all the other products we use are meant for the children in our college. I don't exactly know the reason why my company chose Vertica.

What other advice do I have?

I would describe Vertica as a user-friendly product. The documentation part of Vertica is almost the same as the one for MySQL, which we have in our company. The documentation part of Vertica is very friendly enough to use, but I can never say that the documentation area is better.

I don't use ChatGPT to help me with my queries since I try to deal with my issues and queries on my own. I don't want anything improved in the solution as it provides us with everything we require in our IT environment. If I know how to run a query, then the results generated by Vertica turn out to be okay.

The stability offered by Vertica is something that depends on the application and the memory of the product. If you work with Vertica in any of your projects, you will see that it works better for you with much more resources than others. You won't encounter problems with Vertica, especially if your company's architects are better at managing and creating interfaces.

I recommend Vertica to those who plan to use it since it is easy to configure and use. I don't think you would encounter any problems with Vertica. The syntax in Vertica is easy to use and user-friendly, which you can find on Google.

I rate the overall tool a seven out of ten.


    Telecommunications

Good Analytical Database

  • July 05, 2023
  • Review provided by G2

What do you like best about the product?
Vertica offers you a very good set of tools to perform analysis on the data.The processing power and the flexibility is one the major points why Vertica is best in class.
What do you dislike about the product?
Historically Vertica has been supported in Enterprise mode, which comes with a lot of limitations. This is being fixed with the introduction of EON mode on public cloud and private infrastructure but the change has been slow. Although we are getting there.
What problems is the product solving and how is that benefiting you?
Ingest and analyze large amount of data. Interface with BI tools to create visualizations of the data and show the value of the solution offered by my company to our customers.


    Computer Software

Nice DW solution although not the best

  • May 25, 2023
  • Review provided by G2

What do you like best about the product?
It is a pretty stable Datawarehouse solution and really manageable in some aspects as many other similar solutions it allows for scale of thousands and thousands of records
What do you dislike about the product?
It has a lot of flaws like sometimes queries would take ages if you are not constantly purging your tables (in case you do a lot of deletes over that table) something I haven't experienced in other solutions like Redshift
What problems is the product solving and how is that benefiting you?
A data warehouse of a large-scale reporting data warehouse that provided a centralized data solution for many data consumer applications and principal storage of fact processed information


    Basharat H.

it was amazing

  • April 12, 2023
  • Review provided by G2

What do you like best about the product?
Vertica is known for its versatility, speed, and investigation capacities. It is intended to deal with a lot of information and perform complex questions continuously. Vertica likewise has a columnar stockpiling design, which takes into consideration quicker information recovery and pressure.

Vertica upholds a large number of information types, including organized, semi-organized, and unstructured information. It likewise offers worked in AI capacities, permitting clients to perform progressed examination and prescient demonstrating straightforwardly in the data set.

Moreover, Vertica has an easy to understand interface and gives progressed investigation works, for example, geospatial examination, text search, and time-series investigation. In general, Vertica is a strong data set administration framework that is great for information driven associations hoping to dissect a lot of information rapidly and productively.
What do you dislike about the product?
One possible test with Vertica is that it might require particular abilities and information to set up and keep up with. Vertica is a complicated framework that requires cautious preparation and enhancement to accomplish ideal execution. Associations might have to put resources into preparing or recruit particular assets to actually deal with the information base.

Another thought is that Vertica may not be the most ideal decision for associations that don't have huge informational collections or don't demand constant information examination. While Vertica is intended to deal with a lot of information, more modest informational indexes may not legitimize the interest in a particular data set administration framework.

At long last, similar to any innovation, Vertica isn't safe to possible bugs or execution issues. Clients might experience issues with information exactness or inquiry execution, which can require endlessly investigating endeavors to determine.

Generally, while Vertica offers many advantages, clients ought to painstakingly consider their association's particular requirements and assets prior to choosing this data set administration framework.
What problems is the product solving and how is that benefiting you?
Business Insight and Examination: Vertica is frequently utilized for information warehousing, business knowledge, and investigation. Its capacity to deal with enormous volumes of organized and unstructured information rapidly and productively makes it an ideal stage for these utilization cases.

Ongoing Information Handling: Vertica's columnar stockpiling design and appropriated engineering go with it an amazing decision for constant information handling, for example, handling and dissecting information produced by IoT gadgets or continuous information streams.

AI: Vertica incorporates worked in AI abilities that empower clients to perform progressed examination and prescient demonstrating straightforwardly inside the data set.

Information Science: Vertica can be utilized for information science undertakings like exploratory information examination, information perception, and factual investigation.


    Ahmed F.

Use of vertica as a date warehouse

  • February 15, 2023
  • Review provided by G2

What do you like best about the product?
Very useful functions in vertica and lots of ways to optimize queries. The documentation of vertica is very extensive. Being a columnar database, it's very effective in analytical uses.
What do you dislike about the product?
Sometimes performs poorly because of some builtin features like non existence of nvarchar or varchar2 datatype, no qualify function etc
What problems is the product solving and how is that benefiting you?
Replication of temenos 24 banking application


    jeetendra g.

Vertica is a columnar database management system designed for large-scale data analytics

  • February 10, 2023
  • Review provided by G2

What do you like best about the product?
if you are having very large data volumes and high-speed data ingestion need for your data lake vertica is best solution.
Vertica uses advanced compression techniques to reduce the amount of storage space needed for data, improving overall efficiency
What do you dislike about the product?
Vertica is optimized for large-scale data analytics, but may not be suitable for smaller data sets or use cases that do not require high performance.
What problems is the product solving and how is that benefiting you?
Vertica is designed to provide fast query performance, even for complex analytics, by using columnar storage and in-memory processing.
All our datalake usecases was solved using vertica.