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.

Read more

Elasticsearch News & Tutorials

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

  • Avoiding the Split Brain Problem in Elasticsearch

    How many nodes should the cluster have? It's a difficult question. Ultimately, it will boil down to questions like the following: 

    1. How much data are you working with?

    2. How many searches will you be processing?

    3. How complex are your searches?

    4. How much resources will each node have to work with?

    5. How many indexes/applications will you be working with?

    The answer to that question depends on a lot of factors, like expected load, data size, hardware, etc. In this tutorial post we discuss how to avoid the split brain problem.

  • Searching and Fetching Large Datasets in Elasticsearch Efficiently

    While a search request returns a single “page” of results, the scroll API can be used to retrieve large numbers of results (or even all results) from a single search request, in much the same way as you would use a cursor on a traditional database. Scrolling is not intended for real time user requests, but rather for processing large amounts of data, e.g. in order to reindex the contents of one index into a new index with a different configuration.

    The results that are returned from a scroll request reflect the state of the index at the time that the initial search request was made, like a snapshot in time. Subsequent changes to documents (index, update or delete) will only affect later search requests.

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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