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Aerospike Database vs OpenText Analytics Database (Vertica) comparison

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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

Aerospike Database
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
NoSQL Databases (14th), AI Security (262nd)
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 (11th)
 

Featured Reviews

Manikandan Gunasekaran - PeerSpot reviewer
Director of Engineering at Ola
Boost authentication and session management with reliable and fast data handling
There is a lot of technical debt in our company, and we need to update to the latest versions. The lack of automation in upgrading clusters from development to production is a concern. A tool for automatically handling such upgrades would reduce operational huddle. Additionally, it would be beneficial if Aerospike had a community version to encourage broader adoption and experimentation.
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

"It shows better compression and compaction, which is valuable."
"We can also load massive amounts of data in seconds and query it with SLA for online dashboards."
"I like the projection feature, which increases query performance."
"This solution has allowed us to reduce the creation of summarized tables, as the user can perform queries on the fly."
"The most valuable feature is the merge function, which is essentially the upsert function, and it has become our ELT pattern because, unlike when we used the ETL tool to manage upserts, the load time is now pretty much flat relative to the volume of records processed."
"Speed and resiliency are probably the best parts of this product."
"In other databases, information will return in hours or even days while in Vertica it will be finished in minutes or even seconds."
"We are trying to data mine customer event data, and having the ability to invoke analytic functions without having to write self-join SQL statements is just brilliant."
"I found the columnar storage, which increases performance of sequential record access, to be the most valuable feature."
 

Cons

"The lack of automation in upgrading clusters from development to production is a concern."
"The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases."
"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."
"Node recovery is very inconsistent and impacts performance."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company."
"Pricing could be more competitive."
"Even with some optimization (adding projections for merge joins and grouped by pipelined), it's still taking a longer time than a Spark job in some cases."
"The biggest problem is the cost of cloud deployment."
 

Pricing and Cost Advice

"We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike."
"The solution is relatively cost-effective."
"Vertica is an expensive tool."
"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."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"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."
"The price could be cheaper and it is best to negotiate the price."
"Read the fine print carefully."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Outsourcing Company
11%
Comms Service Provider
11%
Construction Company
11%
Financial Services Firm
15%
Outsourcing Company
13%
Manufacturing Company
10%
Comms Service Provider
7%
 

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 Aerospike Database 7?
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
What needs improvement with Aerospike Database 7?
There is a lot of technical debt in our company, and we need to update to the latest versions. The lack of automation in upgrading clusters from development to production is a concern. A tool for a...
What is your primary use case for Aerospike Database 7?
Aerospike is mainly used as the first step for authentication, authorization, and session persistence in our organization. It is a critical part of our workflow, as without it, we wouldn't be able ...
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...
What is your primary use case for Vertica?
The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...
 

Also Known As

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

Overview

 

Sample Customers

AppNexus, Adform, KAYAK, Williams-Sonoma Inc., The Trade Desk, GREE, BlueKai, Chango CTO, InMobi, Yashi, eXelate CTO, Snapdeal, adMarketplace, Tapad, Komli Media, Neustar, So-net Media Networks, IMHO Vi, Vizury
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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