StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Search
  4. Search As A Service
  5. Groonga vs Qbox.io

Groonga vs Qbox.io

OverviewComparisonAlternatives

Overview

Qbox.io
Qbox.io
Stacks7
Followers17
Votes0
Groonga
Groonga
Stacks2
Followers15
Votes0
GitHub Stars831
Forks120

Qbox.io vs Groonga: What are the differences?

Developers describe Qbox.io as "Dedicated cloud hosting for Elasticsearch on Amazon EC2, Rackspace, and SoftLayer". Qbox is supported, dedicated, hosted Elasticsearch - the bleeding edge of full-text search and analytics. We provide an intuitive interface to provision, secure, and monitor ES clusters in Amazon EC2 and Rackspace datacenters everywhere. On the other hand, Groonga is detailed as "* An open-source full-text search engine and column store*". It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

Qbox.io and Groonga can be categorized as "Search as a Service" tools.

Some of the features offered by Qbox.io are:

  • Global availability
  • 24x7 support
  • Reserved cloud resources

On the other hand, Groonga provides the following key features:

  • Storage Engine
  • Fast
  • Easy to use

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Qbox.io
Qbox.io
Groonga
Groonga

Qbox is supported, dedicated, hosted Elasticsearch - the bleeding edge of full-text search and analytics. We provide an intuitive interface to provision, secure, and monitor ES clusters in Amazon EC2 and Rackspace datacenters everywhere.

It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

Global availability; 24x7 support; Reserved cloud resources; EBS (w/ Provisioned IOPS) and SSD; Private IPs and SSL; HTTP Basic authentication; Elasticsearch plugins; Simple cluster scaling; Data Analytics; Elasticsearch Updates; Free 24x7 Support;
Storage Engine; Fast; Easy to use
Statistics
GitHub Stars
-
GitHub Stars
831
GitHub Forks
-
GitHub Forks
120
Stacks
7
Stacks
2
Followers
17
Followers
15
Votes
0
Votes
0
Integrations
No integrations available
Snowplow
Snowplow
Kibana
Kibana
Couchbase
Couchbase
Cloud 66
Cloud 66
Datadog
Datadog
Redash
Redash
Logstash
Logstash

What are some alternatives to Qbox.io, Groonga?

Elasticsearch

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Typesense

Typesense

It is an open source, typo tolerant search engine that delivers fast and relevant results out-of-the-box. has been built from scratch to offer a delightful, out-of-the-box search experience. From instant search to autosuggest, to faceted search, it has got you covered.

Sphinx

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

Amazon CloudSearch

Amazon CloudSearch

Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.

Amazon Elasticsearch Service

Amazon Elasticsearch Service

Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.

Manticore Search

Manticore Search

It is a full-text search engine written in C++ and a fork of Sphinx Search. It's designed to be simple to use, light and fast, while allowing advanced full-text searching. Connectivity is provided via a MySQL compatible protocol or HTTP, making it easy to integrate.

Azure Search

Azure Search

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

MkDocs

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Swiftype

Swiftype

Swiftype is the easiest way to add great search to your website or mobile application.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope