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Aerospike Database vs Kore.ai 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

Aerospike Database
Ranking in AI Security
163rd
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
NoSQL Databases (14th)
Kore.ai
Ranking in AI Security
13th
Average Rating
7.8
Number of Reviews
10
Ranking in other categories
AI Agent Builders (7th), AI Customer Experience Personalization (10th), AI Customer Support (5th), AI IT Support (8th)
 

Mindshare comparison

As of May 2026, in the AI Security category, the mindshare of Aerospike Database is 0.0%. The mindshare of Kore.ai is 0.7%. It is calculated based on PeerSpot user engagement data.
AI Security Mindshare Distribution
ProductMindshare (%)
Kore.ai0.7%
Aerospike Database0.0%
Other99.3%
AI Security
 

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.
Judin Augustin - PeerSpot reviewer
Associate Data Scientist at Guide House
Automation has reduced large call centers and provides real-time outbound support for patients
Kore.ai is a low-code platform, and you do not necessarily have to be an expert in artificial intelligence or generative AI to use this platform. However, if you have that experience, it will be a valuable add-on. The main advantage is that it has almost every kind of plugin available to use, whether for live agents or if you want to use it as a call center. You have real-time capabilities and the most useful plugins available, with almost every kind of model available with configurations. We can configure the ML models and train them. The platform is very user-friendly with explanatory features and a great UI. One significant feature is the live testing platform with Kore.ai. When you are creating a workflow, you have an interactive, real-time testing platform that reflects every change you make. This makes it easy to debug errors or add new features. Additionally, Kore.ai has many different tools and platforms that cater to different needs, whether for a call center, normal workflow, or machine learning workflow, which is really useful. Because of Kore.ai, it was much easier than creating something manually. A low-code platform always helps, and when that platform has this much capability, it provides far more value than manual development. It was particularly helpful for our team that we could create a POC and get that project into production. Kore.ai helped our team build a generative AI outbound calling chatbot, and it truly helped our customers. If you have a hospital with a thousand employees in a call center, you might consider outsourcing. However, with Kore.ai's outbound calling capabilities, you can eliminate the outsourcing part. You do not need a thousand call center employees. You can accomplish this through automation with just one or two employees if people need to switch to agents. This represented a significant cost reduction.

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."
"The positive impacts we have seen include expected reductions in average handle time, which is typically around 40 to 50 percent for any BFSI industry use case."
"Kore.ai offers multiple support and services, including API integration, webhook integration, and multiple channels, making it easy to design your own layout, integrate with multiple channels and webhooks, deploy quickly, and track any errors that occur, so it is a good way to start and easy to learn."
"Kore.ai has positively impacted my organization, as it saved a lot of time in implementation and the proof of concept was very fast to implement and easy to develop."
"Kore.ai helped us integrate a lot through documentation and trial and error, making it straightforward to integrate overall, resulting in a very good experience for first-timers."
"Kore.ai has positively impacted our organization by reducing error rates from around fifteen to twenty percent to just two to three percent after implementation."
"Because of Kore.ai, it was much easier than creating something manually, and when that platform has this much capability, it provides far more value than manual development."
"Kore.ai has positively impacted my organization by simplifying the process of responding to emails and streamlining the workflow, saving me considerable time."
"It impacted my organization by helping us move into being AI-native, and it helped a lot to show other clients that we have worked in AI."
 

Cons

"The lack of automation in upgrading clusters from development to production is a concern."
"I rated Kore.ai an 8 out of 10 because additional features could be added to it."
"I would suggest incorporating pre-recorded videos in the tutorials and enhancing the documentation area to make it more user-friendly."
"To improve Kore.ai, I suggest focusing on more agentic automation, such as offering MCP kind of features with an orchestration layer for use cases."
"The two points I deduct relate to the integrations, which were not as extensive as I initially expected."
"Kore.ai can be improved by enhancing their documentation, which is currently a bit disorganized."
"Customer support is where Kore.ai has significant room for improvement. Post-implementation support is a particularly discouraging aspect for me."
"In my experience, Kore.ai is not stable."
"I choose 7.5 out of 10 for Kore.ai because a few things already need to be improved, one of which I have mentioned."
 

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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
15%
Comms Service Provider
11%
Media Company
5%
Construction Company
12%
Financial Services Firm
9%
Outsourcing Company
8%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Midsize Enterprise3
Large Enterprise12
 

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 Kore.ai?
My experience with pricing, setup cost, and licensing is comparatively lower than other companies and tools available.
What needs improvement with Kore.ai?
Kore.ai can be improved by enhancing their documentation, which is currently a bit disorganized. They should include detailed videos or workshops. There are not many videos or community resources a...
What is your primary use case for Kore.ai?
My main use case for Kore.ai was creating an outbound calling generative AI-powered chatbot, which is useful for insurance and healthcare companies.
 

Comparisons

 

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
Leading banks & Enterprise Companies
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893,311 professionals have used our research since 2012.