Here's a webinar playback on how to stretch database clusters across 3 or more regions while at the same time reducing cross-region latency.
Delivered by my colleague Sid Choudhury, SVP of Product at Yugabyte, you can also check out the companion blog here:
blog.yugabyte.com/9-techniques-to-build-cloud-native-geo-distributed-sql-apps-with-low-latency/
New to distributed SQL or YugabyteDB? Read on.
What is Distributed SQL?
Distributed SQL databases are becoming popular with organizations interested in moving data infrastructure to the cloud or cloud native environments. This is often motivated by the desire to reduce TCO or move away from the horizontal scaling limitations of monolithic RDBMS like Oracle, PostgreSQL, MySQL, and SQL Server. The basic characteristics of Distributed SQL are:
They must have a SQL API for querying and modeling data, with support for traditional RDBMS features like foreign keys, partial indexes, stored procedures, and triggers.
Automatic distributed query execution so that no single node becomes a bottleneck.Should support automatic and transparent distributed data storage. This includes indexes, which should be sharded across multiple nodes of the cluster so that no single node becomes a bottleneck. Data distribution ensures high performance and high availability.
Distributed SQL systems should also provide for strongly consistent replication and distributed ACID transactions.
For a deeper discussion about what Distributed SQL is, check out, “What is Distributed SQL?”
What is YugabyteDB?
YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB is PostgreSQL wire compatible, cloud native, offers deep integration with GraphQL projects, plus supports advanced RDBMS features like stored procedures, triggers and UDFs.
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