![]() ![]() And, DocDB is the distributed document store responsible for foundational aspects such as sharding, replication consistency, and other storage subsystems. The YQL layer includes the API specific aspects, for example, the SQL implementation, corresponding query/command compilation, and run-time components. YugabyteDB has 2 logical layers – Yugabyte Query Layer and DocDB. So, what’s inside a YugabyteDB node? Let’s look at it from both the logical and physical perspectives. Typically, the term node is used to refer to a single machine in the cluster. In production, YugabyteDB is deployed over a cluster of multiple machines that may be virtual, physical or containerized. If you are unfamiliar with the Yugabyte database, this blog post will help you grasp the key architectural concepts in YugabyteDB by drawing comparisons to PostgreSQL and MongoDB. These include auto sharding, fault tolerance, low read latencies, and support for flexible schema designs using JSON documents. It combines the best features of a SQL database, such as PostgreSQL-compatibility, ACID transactions, relational modeling with JOINS, secondary indexes, and schemas with the characteristics typically found in NoSQL systems. YugabyteDB is a fully open-source distributed SQL database designed for internet-scale, geo-distributed applications. ![]() Luckily, YugabyteDB offers a solution by providing a new distributed SQL database with a familiar programming and architectural model, eliminating the complexities. Each database has its own unique terminology and nuances, making the learning process daunting. However, selecting the right database can be challenging due to the numerous niche options available. Developing a distributed application or expanding an existing one with new microservices often requires data storage in a distributed database. ![]()
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