Hosted Elasticsearch Service
Launch our supported, fully-managed, RESTful search
application instantly.
Scale up or down and pay as you go.
Powering Production Elasticsearch
Around the World
- Jib Jab
- Doordash
- 99Designs
- Roadtrippers
- Jelly
- Class Dojo
- Paysimple
- DigitasLBi
- Drizly
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 Hosted Elasticsearch Service on AWS
- Qbox Hosted Elasticsearch Service on Softlayer
- Qbox Hosted Elasticsearch Service on Softlayer
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.
Read more about the ELK StackElasticsearch News & Tutorials
Learn more about Qbox Elasticsearch and how to get the most out of shards, aggregations, and more.
-
How to Detect Language in Elasticsearch using Nakatani Shuyo's Langdetect Plugin
We have already discussed the “Langdetect Ingest Plugin” in a previous post. We now focus on the “elasticsearch-langdetect” or the “Nakatani Shuyo's language detector” in this post.
The “elasticsearch-langdetect” plugin offers a mapping type to specify fields where we want to enable language detection. Detected languages are indexed into a subfield of the field named 'lang'. The field can be queried for language codes.
We can use the multi_field mapping type to combine this plugin with the attachment mapper plugin, to enable language detection in base64-encoded binary data. Currently, UTF-8 texts are supported only.
The plugin also offers a REST endpoint, where a short text can be posted to in UTF-8, and the plugin responds with a list of recognized languages.
-
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
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.