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Tag: Yugabyte Platform

Spring Data YugabyteDB – Getting Started!

Spring Data YugabyteDB – Getting Started!

Spring Data modules are widely used Spring Framework projects for implementing database access in Java applications. Spring Data provides consistent and familiar APIs for querying the data by supporting Data Repository and Template methods, reducing the boilerplate code required for establishing database connection and queries.

For developers and architects, the standard set of APIs provided by Spring Data abstracts away the need to learn the database-specific query language, reducing ramp-up time and increasing developer velocity.

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Announcing Spring Data YugabyteDB

Announcing Spring Data YugabyteDB

YugabyteDB is the database of choice for building stateful cloud native apps that require resilience and scale. YugabyteDB offers Spring developers an easy way to deploy a transactional, resilient and geo-distributed database in their application stack from the outset, while also providing flexibility and  scalability as requirements change. The Spring community has always been a major influence on what we build at Yugabyte. Many of our customers rely on the immensely popular Spring Boot framework to build microservices. 

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Announcing YugabyteDB 2.9: Pushing the Boundaries of Relational Databases

Announcing YugabyteDB 2.9: Pushing the Boundaries of Relational Databases

This morning we announced the latest release of the YugabyteDB open source database, YugabyteDB 2.9! This release introduces new capabilities that push the boundaries of relational databases further than ever before. Yugabyte pioneered distributed SQL databases that combine advanced RDBMS capabilities with the resilience, scale, and geo-distribution that cloud native applications demand. Over the years, we have continued to innovate with capabilities such as distributed transactional backups, YSQL tablespaces,

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Schema Versioning in YugabyteDB  Using Flyway

Schema Versioning in YugabyteDB Using Flyway

Introduction

As developers, many of us are aware of source versioning which helps us easily track and manage changes to the source code of our applications. Schema versioning is to databases what source versioning is to the applications. It helps track and manage the changes to the databases that our applications rely on.

In this blog post, we will talk about using Flyway – one of the most popular tools that simplify schema versioning for databases –

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Using Sequelize with YugabyteDB

Using Sequelize with YugabyteDB

Sequelize is a promise-based Node.js ORM tool that allows us to interact with databases using javascript instead of SQL. In simple terms, Object Relational Mapping is a process for accessing a relational database using object-oriented languages like javascript. For more information on the features in Sequelize, you can check out their documentation site.

Sequelize Node.js package already has support for databases like Postgres, MySQL, MariaDB, SQLite, and Microsoft SQL Server.

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Announcing YugabyteDB 2.6

Announcing YugabyteDB 2.6

Yugabyte is on a mission to build the default database for cloud native applications and simplify operational data infrastructure. Our latest release, YugabyteDB 2.6, is a big step forward towards that goal. YugabyteDB 2.6 includes significant enhancements to the open source database and our self-managed DBaaS offering, Yugabyte Platform. These enhancements, including point in time recovery (PITR), default encryption in transit, availability of Yugabyte Platform on Microsoft Azure, Red Hat OpenShift, and VMware Tanzu, and Yugabyte Platform high availability,

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YugabyteDB Open Source Community Spotlight – July 2021

YugabyteDB Open Source Community Spotlight – July 2021

The Yugabyte community is always active and its members are constantly having interesting conversations and making valuable contributions. We spotlight members of the community to recognize their contributions to making the Yugabyte community a great place.

Radek Gruchalski, Managing Director & Software Engineer @ Klarrio GmbH

GitHub: https://github.com/radekg/, LinkedIn: https://linkedin.com/in/radgruchalski,

Blog: https://gruchalski.com/

If you’re on the Yugabyte community Slack often,

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Geo-Distribution in YugabyteDB: Engineering Around the Physics of Latency

Geo-Distribution in YugabyteDB: Engineering Around the Physics of Latency

Customers today expect always-on, highly responsive access to services wherever they are in the world. This is driving businesses to deploy globally distributed applications that deliver better customer experiences. Moving to a geo-distributed database is a key part of this. Moving data closer to where the end-users are enables lower latency access. Geo-distribution can make the data service resilient to zone and region failures in the cloud. Recent adverse weather conditions and data center accidents have underscored the need for this.

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Connecting to YugabyteDB with Arctype, a Collaborative SQL Client

Connecting to YugabyteDB with Arctype, a Collaborative SQL Client

YugabyteDB is PostgreSQL compatible. It uses the same protocol and SQL layer as PostgreSQL. This makes YugabyteDB compatible with a majority of database tools, because PostgreSQL is the most popular open source database on the planet. Here is an example with Arctype, a user-friendly collaborative SQL client to query and visualize data.

Setting up a database connection

1. I went to https://arctype.com/ and downloaded the client for Windows.

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Getting Started with the Kafka Connect for YugabyteDB (beta)

Getting Started with the Kafka Connect for YugabyteDB (beta)

Kafka Connect is a popular tool for scaling and reliably streaming data between Apache Kafka and other data systems. It ships with a JDBC Sink which is used to insert data from Kafka to a database. Although the default JDBC Sink is good for many popular RDBMS it isn’t optimized for distributed SQL databases that provide linear scalability and high availability like YugabyteDB.

In our earlier blog introducing YugabyteDB 2.7,

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