Elasticsearch Hosting, Hosted ELK Stack, Elasticsearch Database

Do not need the Kubernetes cloud or Docker container? Try hosting Elasticsearch™ instance on a VPS or dedicated server.

6 Reasons to Choose Elasticsearch Hosting

Elasticsearch database hosting can store and retrieve data in the cloud.
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Always Low Price

Enjoy managed Elasticsearch hosting with constantly enriched features at an affordable price. Hosting plans start at $4.99/m. You will never get an overage charge for the high traffic usage.

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24/7/365 Tech Support

Be it sales questions, technical issues, or any other problems with our managed Elasticsearch hosting, our support team is available 24/7 by live chats and tickets to ensure any issue is addressed with a high level of efficiency.

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7-Day Free Trial. No Credit Card Required

Our 7-day free trial enables you to try our cloud Elasticsearch hosting without any hassle. Get your free hosting trial now, our support team can help you migrate your existing onto our platform for FREE.

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Fully Managed Elasticsearch hosting

Our expert team takes on the management work of cloud Elasticsearch hosting, including system administration, maintenance, upgrade and security, leaving you time and energy to concentrate on your business value.

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Powerful Control Panel

You can quickly start your Elasticsearch by just one click, import/export any files via FTP, securely manage your Elasticsearch through Shell/SSH, and monitor console with Elasticsearch metrics. All these management operations can be taken on a single intuitive client panel.

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Easy Backup and Restoration

To secure your data, our cloud Elasticsearch hosting plans come with regular backup feature. If a backup or restoration is needed, you can take it manually in just one hit of a button.

Benefits of Using the Managed Elasticsearch Hosting with ELK Stack

Make the Kibana Elasticsearch host experience enjoyable with high security, reliability, and uptime.
Elasticsearch Hosting with Improved Uptime
Improved Uptime
The Elasticsearch cloud hosting platform is a cluster of powerful servers that tolerates a single point of hardware failures and increases loads, ensuring a high uptime.
Elasticsearch Hosting with Superior Reliability
Superior Reliability
Distributed storage system along with cloud technologies help provide high availability Elasticsearch hosting.
Elasticsearch Hosting with Enhanced Security
Enhanced Security
Our Elasticsearch hosting platform secures your data and applications through proper data isolation, storage segregation, encrypted solutions, and firewalls & backup recoveries.
Elasticsearch Hosting with Increased Scalability
Increased Scalability
Our Elasticsearch hosting allows you to freely scale resources to meet your business’s changing priorities and ongoing growth.

Elasticsearch Database Hosting with Docker Container

Allowing your application to operate in a protected, highly organized Elasticsearch Docker environment, while managing its interactions with the Docker container.
Kubernetes is a container orchestrator developed by Google, which has been donated to CNCF and is now open source. Its advantage lies in the use of Google's years of expertise in container management. It is a comprehensive system for automatic deployment, scheduling, and expansion of containerized applications, and supports many containerized tools, such as Docker. Currently, Kubernetes is the market leader and a standardized means for orchestrating containers and deploying distributed applications. Kubernetes can be run on public cloud services or locally, is highly modular, open-source, and has a vibrant community.
CockroachDB Hosting on Kubernetes Cloud

Features that Make Elasticsearch Hosting Easier

Massive free services ease the management of the hosted ELK stack and allow you to focus on building your business.

FAQs of Elasticsearch Hosting & Hosted ELK Stack

The most commonly asked questions about Esclusters Elasticsearch hosting service.

What is Elasticsearch?

Elasticsearch is a distributed and free open search and analysis engine. It is applicable to all types of data, including text, digital, geospatial, structured and unstructured data. Elasticsearch is built on Apache Lucene, and was first released by Elasticsearch NV (now called Elastic) in 2010. Elasticsearch is famous for its simple REST API, distributed features, speed and scalability. It is the core component of Elastic Stack, which is a set of free and open tools for data ingestion, enrichment, storage, analysis and visualization. It is usually called ELK Stack (after Elasticsearch, Logstash and Kibana). Elastic Stack now contains a rich collection of lightweight transportation agents, called Beats, for sending data to Elasticsearch.

What is Elasticsearch hosting?

Elasticsearch hosting is a hosting environment where accounts are set up on virtual “cloud” instances spread across a cluster of servers. Your web server, database server, storage server, FTP, emails, and such are all delated to separated servers.

What is the ELK stack?

Elasticsearch is a distributed search and analysis engine at the core of Elastic Stack. Logstash and Beats help you collect, aggregate, and enrich your data and store it in Elastic search. Kibana enables you to interactively explore, visualize, share insights into data, and manage and monitor the stack. Elastic search is where the magic of indexing, searching, and analyzing happens.

What is Elasticsearch used for?

Elasticsearch is a distributed search and analytics engine built on Apache Lucene. Since its release in 2010, Elasticsearch has quickly become the most popular search engine and is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases.

Is Elasticsearch a database?

Elasticsearch is a document-oriented database. The entire object graph you want to search needs to be indexed. Therefore, before indexing your documents, they must be denormalized.

The most powerful feature of Elastic search is its indexing capability. A piece of data is a document here. JSON is used as the format for document serialization. The difference between traditional table creation and Elasticsearch is as below:
Relational database: Database > Table > Row > Columns
Elasticsearch: Index > Type > Documents > Fields

How is data stored in Elasticsearch?

Elasticsearch databases store data as JSON documents. Each document associates a set of keys (names of fields or properties) with their corresponding values (strings, numbers, booleans, dates, value arrays, geographic locations, etc.)

What are the use cases of Elasticsearch?

The speed and scalability of Elasticsearch and its ability to index multiple types of content mean that it can be used for multiple use cases:

apply search
website search
enterprise search
logging and log analysis
infrastructure indicators and container monitoring
application performance monitoring
geospatial data analysis and visualization
safety analysis
business Analysis

What is Kibana host?

Kibana is a data visualization and exploration tool for log and time-series analytics, application monitoring, and operational intelligence use cases. It offers powerful and easy-to-use features, such as histograms, line graphs, pie charts, heat maps, and built-in geospatial support.
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