Thoughts on distributed databases, open source and cloud native
If you’re a database developer, you know the time saving value of being able to visually design, document and query SQL and NoSQL databases from a single UI. DbSchema is a well-rounded, visual database tool that supports over 40 databases from a single interface. Because YugabyteDB is PostgreSQL compatible, getting DBSchema to work with a distributed SQL database is relatively simple.
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Read MoreFor customers that run Kafka for their streaming data platform, the Kafka Connect Sink plugin handles delivery of specific topic data to a YugabyteDB instance. As soon as new messages are published, the Sink manages forwarding and automatic addition to a destination table.
YugabyteDB is a high-performance, distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.
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Read MoreWe are excited to announce that YugabyteDB is now available as a self-managed database service on Crossplane, the open-source multicloud control plane. Built on top of our recent Rook Kubernetes Operator for YugabyteDB, this offering makes YugabyteDB one of the first distributed SQL databases available on Crossplane.
With Crossplane as the single control plane,
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Read MoreToday, we are proud to announce that Blitzz and Yugabyte have partnered to accelerate database modernization. Both these companies were founded by engineering leaders with a proven track record in databases and share a common vision of enabling enterprises to replicate and migrate their existing databases to a cloud-native platform. With Yugabyte DB’s Postgres-compatible YSQL API,
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Read MoreIf you’re a database developer, you already understand the importance of a tool to manage your databases. Whether it is for creating schemas, ad-hoc querying, backups, or diving deeper to troubleshoot a database issue, a database tool can make your life much easier and increase your productivity. In a previous posts we covered how to get started with DBeaver,
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Read MoreAlthough most databases ship with a command line utility to administer the instance, these utilities often come with a steep learning curve. If using the command line and learning sometimes arcane syntax makes you uncomfortable, there are graphical tools that can help you speed up many daily DBA tasks. In fact, you can find a comprehensive list of tools on the PostgreSQL wiki here.
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Read MoreIn our previous post “Develop IoT Apps with Confluent Kafka, KSQL, Spring Boot & Distributed SQL”, we highlighted how Confluent Kafka, KSQL, Spring Boot and YugaByte DB can be integrated to develop an application responsible for managing Internet-of-Things (IoT) sensor data. In this post, we will review the challenges and best practices associated with deploying such a stateful streaming application on Kubernetes.
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Read MoreThe Spring application development framework is arguably the most popular framework among Java developers. However, given its extensive breadth and depth, it can be difficult to learn for new users. As the name suggests, Spring Boot makes it easy to boot up with the Spring framework. It shortens development time by taking an opinionated view of the framework and the associated third-party libraries.
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Read MoreIn our previous post “5 Reasons Why Apache Kafka Needs a Distributed SQL Database”, we highlighted why Kafka-based data services need a distributed SQL database like YugaByte DB as their highly scalable, long-term persistent data store. In this post, we show how Confluent Kafka, KSQL, Spring Boot and YugaByte DB can be integrated to develop an application for managing Internet-of-Things (IoT) sensor data.
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Read MoreModern enterprise applications must be super-elastic, adaptable, and running 24/7. However, traditional request-driven architectures entail a tight coupling of applications. For example, App 1 asks for some information from App 2 and waits. App 2 then sends the requested information to App 1. This sort of app-to-app coupling hinders development agility and blocks rapid scaling.
In event-driven architectures,
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