Yandex Managed Service for ClickHouse
Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. ClickHouse is great at handling queries to large amounts of data in real time, while column-based storage saves space due to strong data compression. All DBMS connections are encrypted using the TLS protocol. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. Visualize the data structure in your ClickHouse cluster and send SQL queries to databases from the management console. The service also provides data replication between database hosts (both inside and between availability zones) and automatically switches the load over to a backup replica in the event of a failure.
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Yandex Managed Service for MongoDB
Get access to new MongoDB features and official releases that are 100% compatible with the platform. If the load on your cluster increases, you can add new servers or increase their capacity in a matter of minutes. Invest your time in your project, and we’ll take care of database maintenance: software backups, monitoring, fault tolerance, and updates. You can enable sharding for clusters that have MongoDB version 4.0 or higher. You can also add and configure individual shards to improve cluster performance. All DBMS connections are encrypted using the TLS protocol, and DB backups are GPG-encrypted. Data is secured in accordance with the requirements of local regulatory, GDPR, and ISO industry standards. MongoDB has no regular tables and stores data as collections of JSON-like documents. This is great for projects where data structures may change during development.
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Yandex Managed Service for Elasticsearch
Get access to new functionalities, security patches, and other Elasticsearch improvements with official subscriptions. You can deploy a ready-to-use cluster in just a few minutes. Elasticsearch and Kibana stack settings are initially optimized for the cluster size you selected. Invest your time in your project, and we’ll take care of cluster maintenance, software backups, monitoring, fault tolerance, and updates. Index sharding reduces the load on each host and makes it easy to scale a cluster under peak loads. It’s much easier to develop an infrastructure if you have a visual representation of system behavior. Create trends, make forecasts, and evaluate system stability in a user-friendly interface. To create fault-tolerant geo-distributed Elasticsearch and Kibana clusters, just select the number of hosts and specify availability zones. Select the necessary computing capacity and create a ready-to-use Elasticsearch cluster.
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Amazon Aurora
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.
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