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Amazon SimpleDB vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Amazon SimpleDB
Average Rating
8.0
Reviews Sentiment
7.6
Number of Reviews
1
Ranking in other categories
Non-Relational Databases (8th), NoSQL Databases (18th)
OpenText Analytics Database...
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Warehouse (6th), Cloud Data Warehouse (10th)
 

Featured Reviews

BV
SAP Senior Architect at Cognizant
Adapting to changing data needs with reduced development time and schema flexibility
Amazon SimpleDB is beneficial to me due to its reduced development time, adaptability, improved agility, and its ability to handle unstructured data. It also offers schema flexibility, which aids me in documentation, version control, modular design, data normalization, and denormalization. With this, I have a clear understanding of the data, considering future challenges, and designing for expansion.
JN
consultant at tcs
Data warehousing has transformed reporting performance and now delivers near real-time insights
OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

Quotes from Members

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

Pros

"Amazon SimpleDB is beneficial to me due to its reduced development time, adaptability, improved agility, and its ability to handle unstructured data."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"The compute and processing engine returns the queries fast and let us use our analysis resources in a better utilization."
"I enjoy the cybersecurity and backup features."
"We're just now getting into Vertica, but it allows us to store and access big data very quickly."
"The implementation itself is excellent with fantastic features, speed and scalability."
"In other databases, information will return in hours or even days while in Vertica it will be finished in minutes or even seconds."
"HPE Vertica is a unique solution as it handles a huge magnitude of data with matchless speed and simplicity."
"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."
 

Cons

"The ability to adapt database structures like tables and data types to changing data requirements without causing major disruptions or extensive code changes is an area where I feel improvement is needed."
"In a future release, we would like to have artificial intelligence capabilities like neural networks."
"It is usually very stable, but we occasionally see some nodes going down."
"The biggest problem is the cost of cloud deployment."
"It needs integration with multiple clouds."
"Machine learning implementations."
"Support is an area where it could get better."
"We faced some challenges when trying to use the temporary tables feature."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
 

Pricing and Cost Advice

Information not available
"The price of Vertica is less expensive than some competitors, such as Teradata."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"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's an expensive product"
"Read the fine print carefully."
"The pricing for this solution is very reasonable compared to other vendors."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Computer Software Company
13%
Manufacturing Company
7%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon SimpleDB?
I find the price of Amazon SimpleDB to be relatively high compared to other solutions available in the market like Microsoft and other cloud services.
What needs improvement with Amazon SimpleDB?
The ability to adapt database structures like tables and data types to changing data requirements without causing major disruptions or extensive code changes is an area where I feel improvement is ...
What is your primary use case for Amazon SimpleDB?
I use Amazon SimpleDB for managing my SAP database.
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?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
What needs improvement with Vertica?
OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...
 

Also Known As

SimpleDB
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Livemocha
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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