Hosted Elasticsearch Service

Launch our supported, fully-managed, RESTful search application instantly.
Scale up or down and pay as you go.

More Affordable at Any Scale

Get affordable prices for large datasets with free 24/7 premium support and maintenance.

Single Endpoint Smart Scaling

Resize and replicate any cluster from your dashboard without switching endpoints.

A Perfect, Dedicated Fit

Adjust RAM and processors independently to align with your data requirements.

Powering Production Elasticsearch
Around the World

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Free 24/7 support and maintenance for every customer

With Qbox, you can count on your clusters being up when you need them. You're fully backed with a SLA, a dedicated support team, and fully managed upgrades and migrations.

  • Fully managed upgrades and migrations

    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.

  • Automatic backups and simple restore

    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.

  • Add or remove plugins on demand

    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.

Available on multiple cloud platforms in over 47 regions

Qbox is the only hosted Elasticsearch provider that allows you to choose both the location and the cloud platform of your cluster, which lowers response times significantly.

Qbox makes it easy for us to provision an Elasticsearch cluster without wasting time on all the details of cluster configuration.

Chris Olivares, Software Engineer

Infinitely Scalable

Launch a 1-node Elasticsearch cluster for testing and then scale to a 10-node production cluster with ease.

Unrestricted API

Whether it’s 10 thousand or 10 billion documents you need to index, we’ve got it covered.

VPC Peering

Increase your security and throughput with VPC peering. Available on clusters on the AWS platform.

Kibana, Logstash, and Elasticsearch. Get the ELK stack, a suite of powerful search analytics for your cluster.

Hook your cluster into the ELK stack to get detailed Kibana and Logstash analytics. Let our expert support team help design your ideal ELK Stack infrastructure.

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Elasticsearch News & Tutorials

Learn more about Qbox Elasticsearch and how to get the most out of shards, aggregations, and more.

  • Subword Transformations via the Word Delimiter Token Filter in Elasticsearch

    Text segmentation has always been very critical from the perspective of Search. It is the process of dividing written text into meaningful units, such as words, sentences, or topics. The term applies both to mental processes used by humans when reading text, and to artificial processes implemented in computers, which are the subject of natural language processing. The problem is non-trivial, because while some written languages have explicit word boundary markers, such as the word spaces of written English and the distinctive initial, medial and final letter shapes of Arabic, such signals are sometimes ambiguous and not present in all written languages.

    Word segmentation is the task of dividing a string of written language into its component words. In English and many other languages, using some form of the Latin alphabet, the space is a good approximation of a word divider (word delimiter). Some examples where the space character alone may not be sufficient include contractions like won't for will not.

    However the equivalent to this character is not found in all written scripts, and without it word segmentation is a difficult problem. Languages which do not have a trivial word segmentation process include Chinese, Japanese, where sentences but not words are delimited, Thai and Lao, where phrases and sentences but not words are delimited, and Vietnamese, where syllables but not words are delimited

  • How to Index the Geographical Location of IP Addresses to Elasticsearch 5.0

    Elasticsearch is generally used to index data of types like string, number, date, etc. However, what if you wanted to index a file like a .pdf or a .doc directly and make it searchable? This is a real-time use case in applications like HCM, ERP, and ecommerce.

Not yet enjoying the benefits of a hosted ELK-stack enterprise search on Qbox? Discover how easy it is to manage and scale your Elasticsearch environment.

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