Vertica by the Hour, Red Hat
OpenText | 24.4.0-0Linux/Unix, Red Hat Enterprise Linux 8 - 64-bit Amazon Machine Image (AMI)
External reviews
External reviews are not included in the AWS star rating for the product.
Flexible and scalable
What do you like best about the product?
its ability to process large amounts of data quickly and efficiently, making it an ideal solution for organizations that need to process data in real-time. It provides robust security features, including encryption, access controls, and auditing, to ensure that data is protected and secure.
What do you dislike about the product?
It is complex to install and maintain, which can make it challenging without extensive technical expertise. Vertica can be a relatively expensive solution, especially for organizations with limited budgets.
What problems is the product solving and how is that benefiting you?
Vertica's real-time analytics capabilities can lead to improved business outcomes, such as better-informed decisions, improved operational efficiency, and reduced costs.
- Leave a Comment |
- Mark review as helpful
Data engineer using vertica for database
What do you like best about the product?
It Column-based analytical functions, this gives us the flexibility to work with massive data, and it makes our query fast and easy. Another point is its k-safety. It saves our data from any node failure
What do you dislike about the product?
If we can say wrong about Vertica, then it's not good. Still, the area where Vertica can update itself is the connector for its clients
because when we use Vertica with a new version for spark like 3.0, then it has not better connectivity with Hadoop and spark. We have faced so many issues while connecting our spark application.
because when we use Vertica with a new version for spark like 3.0, then it has not better connectivity with Hadoop and spark. We have faced so many issues while connecting our spark application.
What problems is the product solving and how is that benefiting you?
We have created a Business intelligence tool for clients where we have to save massive data and process/query it very fast for a response. I think in this Vertica help's us a lot
It's really a very good data platform fir data warehouse house
What do you like best about the product?
Data storage and data management is superb.
What do you dislike about the product?
Indexing can be improved and memory also can be taken care
What problems is the product solving and how is that benefiting you?
Lots of data analysis done at my end
Recommendations to others considering the product:
Yes highly recommend
Good things are being done
What do you like best about the product?
Good work, excellent commitment, humanitarian will
What do you dislike about the product?
Not much of it seems fine let's see how it goes
What problems is the product solving and how is that benefiting you?
Pretty good computational problems
Columnar storage datawarehouse on cloud
What do you like best about the product?
MPP architecture
columnar compression
high performance
columnar compression
high performance
What do you dislike about the product?
Data size limitations
high pricing
limited options for querying clients
high pricing
limited options for querying clients
What problems is the product solving and how is that benefiting you?
Data warehouse, backend for BI and Analytical tools
Review on Vertica Technology
What do you like best about the product?
The best about Vertica is it has 99.99% availability and 100% consistency. It has got powerful tools like Vertica Backup and Restore utility which helps recover single table or schema or cluster from past backup images. The most admirable is its K Safe Feature due to which it helps maintain the consistency among the nodes. If a node goes down it does automatic sync as well. It also has Database Designer which will help you tune your SQLs and suggest optimized projections. To add icing to the case it has management console its GUI interface as well which helps you monitor multiple clusters using the same GUI . It has got nice online support as well in case of issues.
The incidents of cluster down specifically to the projects I support had gone down 100% . If one node goes down still due to Ksafe feature your entire cluster remains up and available to the business. Over all on personal grounds a very reliable and useful products that any Organization can rely on.
Note : This is my genuine personal opinion only for the product I have worked hence the candid feedback.
The incidents of cluster down specifically to the projects I support had gone down 100% . If one node goes down still due to Ksafe feature your entire cluster remains up and available to the business. Over all on personal grounds a very reliable and useful products that any Organization can rely on.
Note : This is my genuine personal opinion only for the product I have worked hence the candid feedback.
What do you dislike about the product?
About its upgrade path and just supporting 1 release backward compatibility if you upgrade your cluster.
Also cross environment restores for the cluster having different names but same nodes restores should be made possible that are having different names. So entire snap can be restored.
Note : This is my genuine personal opinion only for the product I have worked hence the candid feedback.
Also cross environment restores for the cluster having different names but same nodes restores should be made possible that are having different names. So entire snap can be restored.
Note : This is my genuine personal opinion only for the product I have worked hence the candid feedback.
What problems is the product solving and how is that benefiting you?
100% cluster availability issue is resolved. Maintenance down time is reduced. Also business functions are executing per expectations.
Recommendations to others considering the product:
Over all a good product worth it for the money you spent.
It leverages machine learning and predictive analytic features to help preprocess data
The primary use case is as an analytics database on EC2 instances.
How has it helped my organization?
* We gain insights into data in real-time with blazing, fast SQL analytics across exabytes of data.
* It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.
* It leverages machine learning and predictive analytic features to help preprocess data.
What is most valuable?
It maximize cloud economics for mission-critical big data analytical initiatives.
What needs improvement?
It needs integration with multiple clouds.
For how long have I used the solution?
One to three years.
What do I think about the stability of the solution?
I have implemented it on Amazon EC2 instances with medium IT workloads.
What do I think about the scalability of the solution?
It has an elastic scalability solution.
How was the initial setup?
It is easy to integrate with EC2 instances.
What's my experience with pricing, setup cost, and licensing?
It is fast to purchase through the AWS Marketplace.
The pricing and licensing depend on the size of your environment and the zone where you want to implement.
What other advice do I have?
It is a complete solution and a also good solution for EC2 instances.
showing 1 - 7