Geo-Partitioning

Scout24 Reshapes Global Hospitality Management with Geo-Partitioning and High Availability

Scout24 Reshapes Global Hospitality Management with Geo-Partitioning and High Availability

YugabyteDB Managed helps Scout24 meet their complex data needs for “Kotao” with a geo-partitioned, high-availability architecture for global operations. YugabyteDB’s PostgreSQL compatibility and scalable, fault-tolerant design make it a resilient choice for Scout24’s innovative hospitality management tool.

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How my Wish to Contribute to Open Source Lead me To Join Yugabyte

How my Wish to Contribute to Open Source Lead me To Join Yugabyte

Databases are omnipresent

Back in 2016 I started at Nutanix, fresh after finishing my graduate studies. This was barely a couple of weeks after two of Nutanix’s employees, Karthik and Kannan, left to start Yugabyte with Mikhail Bautin. They were still the subject of a few watercooler chats at Nutanix, mainly because of their bold decision to enter the database market, one that is definitely not known for being easy.

It became apparent to me why databases are hard.

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Geo-Partitioning of Data in YugabyteDB

Geo-Partitioning of Data in YugabyteDB

Achieve high performance and regulatory compliance for global apps

We are excited to announce the availability of row-level geo-partitioning in YugabyteDB, a feature heavily requested by our user community and enterprise customers alike. This feature allows fine-grained control over pinning data in a user table (at a per-row level) to geographic locations, thereby allowing the data residency to be managed at the database level.

Making the nodes of a multi-region database cluster aware of the location characteristics of the data they store allows conforming to regulatory compliance requirements such as GDPR by keeping the appropriate subset of data local to different regions,

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Announcing YugabyteDB 2.5

Announcing YugabyteDB 2.5

Support for Geo-Partitioning and Enterprise-Grade Security Features

Our mission at Yugabyte is to build the default distributed SQL database for cloud native applications in a multi cloud world. To further that mission, this release brings major enhancements to multi-region deployments, performance, and security features offered by the database – while simultaneously improving on high availability, horizontal scalability, and ease of managing the database.

  • Enhanced multi-region capabilities with geo-partitioning and follower reads: The YugabyteDB 2.5 release adds row-level geo-partitioning capabilities as well as follower reads to the extensive set of multi-region features that YugabyteDB already had.

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How Data Sharding Works in a Distributed SQL Database

How Data Sharding Works in a Distributed SQL Database

Enterprises of all sizes are embracing rapid modernization of user-facing applications as part of their broader digital transformation strategy. The relational database (RDBMS) infrastructure that such applications rely on suddenly needs to support much larger data sizes and transaction volumes. However, a monolithic RDBMS tends to quickly get overloaded in such scenarios. One of the most common architectural patterns used to scale an RDBMS is to “shard” the data. In this blog, we will learn what data sharding is and how it can be used to scale a SQL database.

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