Linx DB - cloud databases
database as a service
DBaaS
DBaaS is a cloud-based approach to data storage and management. You don’t need to install and maintain a database—it’s provided in the cloud as a customized, optimized, and ready-to-use solution.
Who is responsible for what
We take care of the entire IT infrastructure, database hosting and administration, allowing you to manage your data and benefit from it from anywhere in the world.
cloud databases
How to create and run a database in the cloud?
Мы полностью автоматизировали процесс добавления БД в облаке Linx Cloud. Время — деньги: 5 минут на запуск облачной базы данных против нескольких дней, потраченных на самостоятельную инсталляцию. Инстанс СУБД устанавливается поверх операционной системы Linux, которая была установлена командой Linx Cloud ранее.
Мы собираем необходимую конфигурацию БД, а затем моментально запускаем ее в Linx Cloud.
DBMS from a template in the required configuration
We have automated DBMS replication, so you just need to select the template from the list
Single-Instance
Cloud DB on a single server for development and testing purposes with minimal deployment costs.
Master-Slave
Data replicas for maximum read speed and smooth operation. Suitable for small projects.
Failover Cluster
Failover cluster with maximum availability, automatic recovery and failover. Suitable for most projects, including high-load applications with a need for strong information security.
your benefits
Cost savings
Like all other Linxdatacenter cloud services, Linx DB greatly reduces the costs of storing and processing business data and overall IT infrastructure management
Pay-as-you-go
Per-second billing for actually consumed resources
Reduced Time-to-Market
Faster product launches and business growth without the need to approve, order, and deliver hardware
Test environments
Deploy Cloud DB instances for development and testing without the need to invest in on-premises infrastructure, maintenance, and database hosting
Базы данных в linx cloud
MySQL
Relational database, suitable for small and medium web projects
PostgreSQL
A relational database for large projects and error-prone data
MongoDB
Document database, suitable for storing unrelated data and different types of content
Redis
High-performance database for fast query processing and real-time work
Postgres Pro
Relational database for large projects, financial transactions and business intelligence
ClickHouse
Analytical database for storing and processing historical data
Price calculator
Licenses and certificates
