Yandex Managed Service for YDB Reviews

You can use Ignite as a traditional SQL Database by leveraging JDBC drivers or ODBC drivers. Or, you can use the native SQL APIs for Java, C# and C++, Python, or other programming languages. You can easily join, group, aggregate, or order your distributed on-disk and in-memory data. You can accelerate your existing applications up to 100x by using Ignite as an in memory cache or in-memory grid that is deployed over one of several external databases. You can query, transact, and calculate on this cache. Ignite is a database that scales beyond your memory capacity to support modern transactional and analytical workloads. Ignite allocates memory to your hot data and writes to disk when applications query cold records. Execute custom code up to kilobytes in size over petabytes. Your Ignite database can be transformed into a distributed supercomputer that can perform low-latency calculations, complex analysis, and machine learning.

The Leading Distributed SQL Database with High Performance. Open source, cloud native relational DB that powers global, internet-scale applications. Single-Digit Millisecond latency Create lightning fast cloud applications by serving queries directly to the DB. Massive Scale You can achieve millions of transactions per second and store multiple TTB's of data per Node. Geo-Distribution You can deploy across regions and clouds using synchronous or multimaster replication. Cloud Native Architectures. YugabyteDB makes it easy to develop, deploy, and operate modern applications faster than ever. Develop developer agility. Leverage full power of PostgreSQL-compatible SQL and distributed ACID transactions. Operate resilient services. Ensure continuous availability, even when the underlying storage, compute, or network fails. Scale On-Demand. You can add or remove nodes as you wish. Over-provisioned clusters are not a good idea. Lower User Latency.