Amazon Elasticsearch Service vs Qbox comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Elasticsearch Service and Qbox based on real PeerSpot user reviews.

Find out what your peers are saying about Elastic, Amazon, Microsoft and others in Search as a Service.
To learn more, read our detailed Search as a Service Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "You only pay for what you use."
  • "Compared to other cloud platforms, it is manageable and not very expensive."
  • "There is a community edition available and the price of the commercial offering is reasonable."
  • "The solution is not expensive, but priced averagely, I will say."
  • More Amazon Elasticsearch Service Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:It enables us to efficiently search and retrieve our event data, offering us a versatile approach to locate specific information within these logs.
    Top Answer:The solution is not expensive, but priced averagely, I will say. Regarding the pricing part based on the use cases, we used to sometimes see or do some of the costing parts also in that case… more »
    Top Answer:One glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become… more »
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    Ranking
    3rd
    out of 12 in Search as a Service
    Views
    3,171
    Comparisons
    2,725
    Reviews
    4
    Average Words per Review
    616
    Rating
    8.0
    9th
    out of 12 in Search as a Service
    Views
    72
    Comparisons
    38
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Overview

    Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud.

    Upgrading to the newest Elasticsearch version has never been so easy. Our support team will work with you and follow up to make sure there are no issues with your cluster upgrade.

    Have an issue and need to roll back? We're here to help. Qbox will work with you to quickly restore your data with minimal downtime.

    Want to add the newest plugin on the block to your existing Elasticsearch cluster? With Qbox, it's as easy as sending a ticket to our support team. We'll take care of the rest.

    Sample Customers
    VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
    99designs, SUPER, DoorDash, 3 Sided Cube, MediaSilo, ClassDojo
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company14%
    Manufacturing Company9%
    Government8%
    No Data Available
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise72%
    No Data Available
    Buyer's Guide
    Search as a Service
    March 2024
    Find out what your peers are saying about Elastic, Amazon, Microsoft and others in Search as a Service. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon Elasticsearch Service is ranked 3rd in Search as a Service with 6 reviews while Qbox is ranked 9th in Search as a Service. Amazon Elasticsearch Service is rated 8.2, while Qbox is rated 0.0. The top reviewer of Amazon Elasticsearch Service writes "Easy to use, efficient, and straightforward installation". On the other hand, Amazon Elasticsearch Service is most compared with Amazon Athena, Amazon Kendra, Elastic Search and Amazon AWS CloudSearch, whereas Qbox is most compared with .

    See our list of best Search as a Service vendors.

    We monitor all Search as a Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.