At the 5th annual Distributed SQL Summit, Yugabyte CTO, Karthik Ranganathan unveiled product enhancements for YugabyteDB, supercharging PostgreSQL performance and addressing its traditional weak points with innovative features in YugabyteDB 2.19 and Voyager 1.5.
Dimitri Farafonov, VP and Fellow Architect at Fiserv, recently sat down to discuss his role at this top global fintech and payments company. During the conversation, he discussed the priorities that guide Fiserv’s database selection process, along with the complexities involved in working to achieve low latency, data consistency, and massive bi-directional scalability, which are critical to Fiserv’s operations.
As 2022 comes to an end, organizations will continue to shift their focus from using monolithic solutions to distributed SQL databases that better align with their cloud native architectures. And that is not the only shakeup we expect to see in the new year!
Check out our top 2023 database predictions based on trends we already see taking shape.
Recently, I came across a sample e-commerce application that demonstrates how to use Next.js, GraphQL engine, PostgreSQL, and a few other frameworks to build a modern web application. The application supports basic e-commerce capabilities such as product inventory and order management, recommendation system, and checkout function. This made me curious as to how much effort it would take to complete a retail application migration from an on-premise to cloud native solution. So I decided to try.
YugabyteDB is a 100% open source, distributed SQL database system. This single phrase expresses two distinct notions: a SQL database system, and a distributed database system. Historically, these notions were mutually exclusive. But current technology allows a single system to implement both notions. YugabyteDB does this with its two-layer architecture: an extensible query processing layer and a distributed document store.
In this blog post,
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In this blog post, we’ll explore why Abra Controls needed a new database. We’ll detail why it chose YugabyteDB. We’ll then discuss how the company used YugabyteDB Managed to implement its IoT application.
YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer;
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YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer;
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YugabyteDB just turned 5 years old, and I cannot help but reminisce about our journey in building this database over the last half-decade. I vividly remember the genesis of the YugabyteDB project, which started with Kannan, Mikhail, and myself meeting for lunch at a restaurant to discuss the future of cloud native databases. After iterating on the idea over a number of such discussions,
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Discover the seamless compatibility between PostgreSQL and YugabyteDB. Learn how the installation commands overlap, including connecting to databases, creating users, schemas, and executing files from the SQL shell.