Distributed search and analysis.
It's important to compare the features, pricing, and resources of different plans before deploying Elasticsearch network hosting.
By using Elasticsearch as a service, Cloud Clusters takes care of tasks such as cluster configuration, software updates, backups, security, and performance optimization, allowing users to focus on application development and data management.
Cloud Clusters provides round-the-clock technical support to help you resolve any issues related to Elasticsearch hosting.
Deploy your Elasticsearch Database in just a few minutes with the one-click installation, getting it ready immediately.
Weekly or biweekly backup service included. You can also manually back up data anytime to avoid data loss problems.
Cloud Clusters offers cross-data center data migration services, enabling users to easily move their data from one data center to another.
Users can use the Control Panel to add, delete, modify, and query databases/users and use database management tools, such as pgAdmin.
Elasticsearch Hosting integrates seamlessly with other components of the Elastic Stack, which allows for unified log analysis, data visualization, and data ingestion workflows.
Unlike other SaaS applications, Elasticsearch hosting has no restrictions on the database size and the number of database users and connections.
There is only a maximum of 8.76 hours of unavailable time per year, covering service interruptions caused by hardware, network, and power failures.
By using secure Elasticsearch hosting, organizations can maintain the confidentiality, integrity, and availability of their data. It prevents data breaches, unauthorized access, and compliance breaches. Implementing strong security measures in the hosting environment increases user confidence by ensuring that the Elasticsearch cluster remains safe and trustworthy.
Compared to shared hosting, Elasticsearch hosting uses Docker container technology to isolate and protect each database, enhancing DB security.
Cloud Clusters configures a firewall to limit the IP addresses and ports for external access to the database and prevent unauthorized access.
Cloud Clusters will protect the data transmission of the database through the SSL encryption protocol to prevent data from being eavesdropped or tampered with.
Elasticsearch hosting utilizes a professional DDoS protection system that can detect and filter malicious traffic, protecting websites from DDoS attacks.
Cloud Clusters provides an easy-to-use control panel and tools to help you create, configure, and monitor Elasticsearch collections.
Control Panel provides user account management options that allow you to add, delete, and modify database user accounts and control their privileges and access levels.
Elasticsearch hosting supports the configuration of Kibana server host. Kibana is a powerful data visualization and analysis platform that is tightly integrated with Elasticsearch. With Elasticsearch hosting, users can easily set up and manage Kibana server host to control Kibana's network access.
By configuring Kibana server host, users can access remotely through the specified network interface. This provides flexibility and security to users, enabling them to manage access to Kibana according to their needs and security policies.
Elasticsearch cloud hosting provides a convenient and reliable way to host SQL databases, allowing users to focus on their applications and data without worrying about server infrastructure.
After placing an order, you will enter the control panel, click manage, create an Elasticsearch in the "DB & User" tab, and you can start connecting to the database.
After the installation is complete, you need to configure Elasticsearch according to your specific needs. This includes settings such as cluster name, node roles, network settings, heap size, and storage configuration.
After installing and configuring Elasticsearch on the server, start the Elasticsearch instances to form the cluster. Elasticsearch uses a distributed architecture that allows multiple nodes to work together as a cluster for scalability and fault tolerance.
By connecting nodes, they can communicate and share data in the cluster. Monitor the health of the cluster by Kibana or CMD and check the logs for any errors during startup.
Elasticsearch's versatility and extensibility make it a popular choice for various use cases, including search engines, log analytics, and e-commerce platforms. Elasticsearch 7.10.1 community edition offers a wide range of features that empower users to effectively manage and analyze their data.Learn More >
Distributed search and analysis.
Near real-time data processing.
High scalability and availability.
Easy-to-use RESTful API to interact with Elasticsearch.
Full text search and advanced query.
Multilingual support and analyzer.
Security and authentication.
Integrations and ecosystems.
Elasticsearch hosting manages Elasticsearch, the open-source search and analytics engine. It provides a powerful and scalable solution for searching, analyzing, and visualizing large amounts of data in real time.
Elasticsearch is widely used to build search engines and provide search functionality for various applications. It provides fast and accurate full-text search capabilities, including fuzzy matching, relevance scoring, and support for complex queries.
Elasticsearch can be used to monitor and analyze application metrics and performance data. It provides a platform for collecting, storing, and analyzing metrics, enabling you to monitor application health and performance in real time.
Ecommerce platforms leverage Elasticsearch to power product search and recommendation systems. It provides fast and relevant search results, enabling users to find products efficiently.
Elasticsearch has built-in support for geospatial data and provides geographic queries and aggregations. It supports searching and analyzing location-based data, making it valuable for applications dealing with mapping, geolocation, and geospatial analysis.
Elasticsearch is used in CMS for efficient content search and retrieval. It allows users to search various content types, such as articles, documents, images, and videos, with features such as autocomplete and suggestions.
Elasticsearch can be used as a central hub for integrating data from multiple sources. It supports data federation by indexing and querying data from different systems or databases, providing a unified search interface.
A variety of database hosting solutions, choose from relational, non-relational, and distributed.