Aster Data Map Reduce vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Aster Data Map Reduce
Ranking in Data Warehouse
20th
Average Rating
7.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Data Warehouse
4th
Average Rating
8.2
Number of Reviews
83
Ranking in other categories
Cloud Data Warehouse (7th)
 

Featured Reviews

Srikanth Madduri - PeerSpot reviewer
Feb 6, 2020
Has good base product functionality of data storage and analytics but there should be an option to use it on the cloud
I think that a couple of things can be improved with this product. One is, of course, that there should be an option for using it on the Cloud. A lot of customers ask me how they can get up and running fast, and this would be the fastest way with the least client effort. I know Teradata already has its own Cloud solution, but I think that is one area that needs more maturation and exploration. We need to do more testing before we begin to recommend it to clients and we can do this because we work directly with Teradata. We are using the Cloud solution and it is more scalable and also the costs are fairly elastic. It should be something we are using more with clients in the future. At an organization level, I think sometimes the support for development is not forthcoming. It should become more of a part of their ongoing process. If they dedicate more resources to developing along with the latest trends in the industry, Teradata could then bring that functionality out for the current customers and maybe attract other customers as well. I would say that the company should consider more capabilities in handling unstructured data in a better way. Right now most of the latest solutions that are coming to the market address the need for how to take unstructured data and create a standard map for that. I think that would really help. Right now, I only see most of the data through Teradata with its unstructured processing and some of it is not available. They can do more with this. I think Teradata's mappings are good and very easy to use. I would use it for customer databases as it is. But there still some ways that the handling of unstructured data could be improved and that would really help.
Jelson-Ghigonetto - PeerSpot reviewer
Nov 8, 2022
Powerful tool, excellent revision options, with easy depolyment
The primary use case is machine learning and currently, I am working on IOT projects With Vertica, I am able to make changes using other Vertica features and I do not have to start the project over. The Vertica tool is very powerful but you cannot purchase the product based on individual…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The most valuable feature is Vertica's performance and the ease of using the database."
"Partition and join back to node are easy and simple for DBAs."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
 

Cons

"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."
"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."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"The integration with AI has room for improvement."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"Suboptimal projection design causes queries to not scale linearly."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"They could improve on customer service."
 

Pricing and Cost Advice

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."
"The price could be cheaper and it is best to negotiate the price."
"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
"From a cost perspective, the software is less than most of its competitors."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"It is fast to purchase through the AWS Marketplace."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"The pricing could improve, it is a little expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Computer Software Company
16%
Manufacturing Company
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Aster Data Map Reduce?
It's moderately priced. It's not cheap. I'd rate it 2.5 out of five in terms of affordability.
What needs improvement with Aster Data Map Reduce?
Some of our clients are looking for on-premise installations as well. Although we don't have any, some of our prospects are also asking, and we are not sure if that part is easily doable or is as e...
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis.
What needs improvement with Vertica?
Vertica's native cloud support could be improved, and its installation could be made easier. It's possible to deploy the solution on different hyperscalers, but it's not an easy process. Vertica is...
 

Comparisons

No data available
 

Also Known As

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Learn More

 

Overview

 

Sample Customers

Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Aster Data Map Reduce vs. Vertica and other solutions. Updated: May 2024.
787,061 professionals have used our research since 2012.