Free yourself from infrastructure worries and use a fully managed service for the world's most popular open source relational database. Provides easy deployment, scaling and monitoring.
MySQL is a very common database that is often used as a reliable and efficient data store for CMS. It provides quick access to information, easy management and editing of data, making the development and management of websites more convenient.
MySQL is the ideal choice for e-commerce applications. With its scalability and high performance, you can process large amounts of data, synchronize orders, and efficiently manage the information you need for your business.
MySQL is one of the most popular databases that is widely used in educational programs and research institutions. It provides reliability and flexibility to efficiently manage student data, academic resources and educational research.
With MySQL, you can quickly model your data structure, create tables, define relationships, and make changes as needed. Prototyping with MySQL means easy work and fast results.
Create simple web applications and websites with a robust relational database that conforms to ACID principles. Its simplicity and widespread use in web development makes MySQL the ideal solution for your project.
Our platform allows you to deploy a ready-to-go cluster quickly, easily and efficiently. With automatic backups and replication, you can rest assured that your data is safe and available.
Customize replication to your liking with Managed Service for MySQL. Create read-replicas for distributed data reading or build complex replication topologies to ensure high availability and fault tolerance.
Your data is backed up every 24 hours to easily restore services and prevent data loss.
Monitor cluster health and optimize resource consumption with powerful real-time monitoring. The management console and API allow you to control metrics and make decisions based on up-to-date information.
We provide easy maintenance of your database while you develop your project. We offer a full range of services including backup, monitoring, fault tolerance and software upgrades.
The DBaaS concept involves storing and managing data in a cloud environment, where the user does not need to install and maintain a database - he gets a ready-made and optimized solution in the cloud.
Open source distributed streaming processing platform. Provides high throughput and ensures streamlined data delivery between producers and consumers. Ideal for streaming data processing, event-notification architecture implementation and real-time big data processing.
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High-performance open source columnar database. Provides fast analytics and big data processing. It is optimized to run complex analytical queries on large datasets. ClickHouse offers high speed, efficient resource utilization and scalability, making it a popular choice for real-time analytics and big data workloads.
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A distributed search and analytics system. It is well suited for scenarios where fast and scalable data access is required, such as site search, log analysis and real-time data monitoring.
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High-performance distributed database with great flexibility, scalability and parallel query processing. It is the best choice for analytical tasks and big data processing.
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A flexible NoSQL database optimized for storing unstructured data such as documents, images and social media. With easy scalability and high performance, MongoDB is the ideal choice for Big Data projects and applications requiring real-time data processing.
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A powerful data mining and analysis tool optimized for processing large volumes of data and extracting valuable insights with full-text search, advanced analytics and data security. Well suited for complex analytical systems and real-time data monitoring.
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A powerful and reliable open source relational database. It has a wide range of features, supports ACID transactions and provides flexibility for storing and processing structured data. Supports extensions and provides powerful features for database developers and administrators.
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A fast, scalable storage system best suited for caching, sessions, message queues, and lightweight data analytics. Its flexibility in data structures and high performance make Redis a popular solution for web applications.
DiscoverProvide continuous protection and instant access to rapidly growing datasets. Highly scalable and cost effective storage that integrates with your application scenarios.
Distribute traffic and workloads in the most efficient way: no server downtime, overload or underutilization.
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For what tasks is it better to use MySQL?
MySQL is a relational DBMS, which is widely used in various fields. MySQL is characterized by simplicity, accessibility, good performance and security. It also has extensive support from various services. MySQL can easily integrate with programs in various programming languages through an API interface, giving users easy access to the database management system.
MySQL database management system is most often used for projects in the following areas:
A large number of content management system engines are based on MySQL and PHP/Apache. The most famous of them WordPress, which has a lot of functions, provides interaction with MySQL.
On websites, MySQL helps to track registration and store user data. To administer websites, a "bundle" of PHP and MySQL is often used. MySQL allows you to store long text in the database without loss of performance, allows you to perform full-text indexing of text fields and organize searches.
It is not uncommon for companies to be dissatisfied with off-the-shelf enterprise-level solutions such as resource planning systems, groupware, and customer relationship management systems. Reasons for this may include the high cost of enterprise solutions, lack of necessary highly specialized functionality, and the complexity and redundancy of generic solutions. As a result, companies take it upon themselves to develop their own solutions for such systems and often choose MySQL for working with data.
Most forum management systems not written in ASP currently use MySQL. For example, phpBB, yaBB, Invision Power Board, etc.
MySQL is used by both corporations and small organizations for a variety of data management tasks. MySQL is freely distributed, reliable and fast. For web development purposes, MySQL will be a good option.
What tasks does a MySQL database management service provider undertake?
Managed Service for MySQL is a service that provides a ready-to-use MySQL database management system, the cluster of which uses cloud architecture for hosting.
You can focus on working with the database, enjoy all its benefits, and we will take care of the technical issues of organizing the database cluster and its operation.
Our area of responsibility includes:
Is there a default database backup?
Backups are enabled by default. For MySQL clusters, a full backup is performed once per day and all transaction logs of the database cluster are saved. This allows you to restore the cluster state at any point in time within the backup retention period, except for the last 30 seconds.
hy do I need a read-replica in MySQL?
A read-replica is an asynchronously updated copy of the primary database host, intended solely for reading and reducing the load on the primary host. Read replicas are not used for fault tolerance or as a secondary instance in case the primary host fails.
What happens when a new DBMS version is released?
DBMS software is updated automatically when new versions are released. Database cluster owners are notified in advance of the software upgrade work deadlines and possible database availability limitations.
What happens when a MySQL version becomes unsupported?
If the MySQL DBMS version you are using is no longer supported by the developer, you will not lose access to your data. However, in this case you will not be able to create new cluster nodes and will be notified by e-mail about an automatic upgrade to the nearest supported version. This upgrade will be performed even if you have disabled automatic upgrades.
For minor version upgrades, the client is notified 7 days in advance and for major version upgrades 1 month in advance of the automatic upgrade. After receiving such notification, the customer should check the software interacting with MySQL for compatibility with the new version. If necessary, the client should take measures to ensure compatibility with the new version.
Can I change the compute resources and storage capacity for a database cluster?
Yes, you can change the cluster configuration to increase compute resources and storage capacity in the control panel. Changing the configuration to decrease compute resources and storage capacity is available by contacting the manager or through the ticket system.
Changing cluster characteristics can take some time, depending on the size of the cluster and the required configuration. On average, the process of changing the cluster configuration takes about 30 minutes. During this time, software updates and other technical work may be installed.
Is the connection to the MySQL database cluster encrypted?
The connection between the database cluster and the application is always encrypted using SSL. You cannot disable encryption of connections to the cluster.
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The cluster's compute resources are not yet exhausted, why is the cluster running slow?
The maximum IOPS (input/output operations per second) or bandwidth of the storage system is likely insufficient for the current load.
To increase the maximum IOPS and bandwidth, and to reduce the likelihood of trotting, it is recommended that you increase the storage size by adding additional cluster nodes. If you are using HDD-based storage, it is worth considering switching to SSD-based storage. To migrate to another type of storage, you need to perform the following steps: create a database backup, create a new cluster with SSD-based storage using the backup, and after the new cluster is successfully started, delete the original cluster.
TCP/IP is the backbone of everything. This protocol stack is like the circulatory system of the Internet and cloud computing.
MongoDB is a widely used NoSQL database designed for fast and efficient data management. Unlike traditional relational databases, it follows a document-oriented model.
PostgreSQL is more than just an object-relational DBMS — it’s the Swiss Army knife of databases: reliable, versatile, and always within reach.