Yandex Managed Service for MySQL

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.

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.