Cloud Providers

Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency
November 23, 2020
By
CockroachDBDatabasesDistributed SQLGoogle Cloud PlatformMongoDB

Distributed SQL Summit Recap: How Admiral Scales Globally and Achieves Single Digit Latency

At the Distributed SQL Summit 2020, James Hartig – Co-Founder at Admiral, presented the talk “How Admiral Scales Globally with YugabyteDB on Google Cloud While Maintaining Single-Digit Latency.”

Admiral’s Go application runs in Google Cloud across 5 regions in 3 continents. This geo-distributed architecture is powered by a single YugabyteDB cluster that delivers an average global read latency of 3ms! In this talk,

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Introducing Yugabyte Platform on Microsoft Azure
November 12, 2020
By
DatabasesDistributed SQLMicrosoft Azure

Introducing Yugabyte Platform on Microsoft Azure

We have been hard at work expanding our ecosystem to be available across major cloud infrastructure providers so we can power applications in any cloud or across clouds. In addition to deploying the YugabyteDB Anywhere (formerly YugabytDB Platform), our commercial database-as-a-service (DBaaS) offering, natively in AWS and GCP, we’re excited to announce the beta release of the Yugabyte Platform on Microsoft Azure. While it’s true Yugabyte Anywhere can already be deployed on Azure as an on premise cloud provider,

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Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB
October 19, 2020
By
Amazon Web ServicesDistributed SQLHow ToSpring

Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB

Introduction to Serverless Applications

Serverless applications allow developers to run code without having to provision or manage any servers; developers can just concentrate on implementing the business logic of their applications.

As workloads move to the cloud, serverless applications are gaining tremendous popularity with developers. Serverless frameworks allow developers to program for the cloud to take advantage of elastic scaling for workloads and provide cost benefits of using pay-for-use features, only getting billed for compute time they consume.

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How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases
September 23, 2020
By
Apache CassandraCockroachDBCustomersGoogle Cloud Platform

How Justuno Leveraged YugabyteDB to Consolidate Multiple SQL and NoSQL Databases

Justuno provides a Conversion Rate Optimization (CRO) Platform that enables e-commerce sites to turn visitors into customers through personalized onsite messaging, intelligent cross-selling, and upselling. More than 188,000 (and counting) industry leading brands improve sales and the customer experience at the same time.

At the heart of the Justuno platform is visitor intelligence data, and there’s a lot of it. Justuno tracks between 30 and 50 data points per visitor–such as time on site,

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Heroku Add-on for Yugabyte Cloud Now Available in Public Beta
September 17, 2020
By
Cloud ProvidersDatabasesDistributed SQLGraphQL

Heroku Add-on for Yugabyte Cloud Now Available in Public Beta

Today, we are pleased to announce the public beta release of the Heroku Yugabyte Cloud add-on. With new accessibility to the Heroku marketplace, the process of deploying a fully-managed distributed SQL database in the cloud is now radically simple. For those of you who are new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud native distributed SQL database that is 100% open source. It puts a premium on high performance, data resilience, and geographic distribution,

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Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL
August 24, 2020
By
Distributed SQLGoogle Cloud PlatformGraphQLHow ToKubernetesMicrosoft AzurePostgreSQL

Getting Started with Hasura GraphQL Remote JOINs on Multi-Cloud Distributed SQL

Remote joins in Hasura GraphQL extend the concept of joining data across tables, to being able to join data across tables and remote data sources. In this blog post we are going to demonstrate this capability by configuring the following set up.

  • A 3 node YugabyteDB cluster running on GKE with a Hasura GraphQL Engine attached
  • A 3 node YugabyteDB cluster running on AKS with a Hasura GraphQL Engine attached
  • A Remote Schema and Remote Relationship configured
  • The ability to issue GraphQL queries that join data from two different databases,

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Deploying a Real-Time Location App with Hasura GraphQL Engine and Distributed SQL
August 21, 2020
By
DatabasesDistributed SQLGoogle Cloud PlatformGraphQLHow ToKubernetes

Deploying a Real-Time Location App with Hasura GraphQL Engine and Distributed SQL

Hasura is one of the leading vendors in the GraphQL ecosystem. They offer an open source engine that connects to your databases and microservices, and then auto-generates a production-ready GraphQL backend. GraphQL is a query language (more specifically a specification) for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL is often used for microservices, mobile apps, and as an alternative to REST.

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Run the REST Version of Spring PetClinic with Angular and Distributed SQL on GKE
August 20, 2020
By
Distributed SQLGoogle Cloud PlatformKubernetesSpring

Run the REST Version of Spring PetClinic with Angular and Distributed SQL on GKE

Java developers know that Spring Data makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. When YugabyteDB is combined with Spring, Java developers are able to leverage their familiarity with PostgreSQL while gaining the added benefits of distributed SQL. These “out-of-the-box” benefits include geo-data distribution, high performance, and horizontal scalability, which are impossible or difficult to achieve with monolithic SQL databases.

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Distributed SQL Change Management with Liquibase and YugabyteDB on GKE
July 30, 2020
By
DatabasesDistributed SQLGoogle Cloud PlatformHow ToKubernetes

Distributed SQL Change Management with Liquibase and YugabyteDB on GKE

Liquibase is an open source and extensible change management project that supports a variety of databases including Snowflake, MySQL, and PostgreSQL via JDBC. Liquibase allows users to easily define changes in SQL, XML, JSON, and YAML. These changes are then managed in a version control system so the changes can be documented, ordered, and standardized. For more information on the features and benefits of Liquibase, check out their documentation site.

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Getting Started with SQLPad and Distributed SQL on Google Kubernetes Engine
July 29, 2020
By
DatabasesDistributed SQLGoogle Cloud PlatformHow ToKubernetes

Getting Started with SQLPad and Distributed SQL on Google Kubernetes Engine

SQLPad is an MIT licensed web app written in React and Node.js for writing and running SQL queries and visualizing the results. SQLPad supports PostgreSQL, MySQL, SQL Server, Crate, Vertica, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, and many more via ODBC. Because YugabyteDB is PostgreSQL compatible, most third-party tools and apps will work “out of the box.” SQLPad is no exception here.

In this blog post we’ll show you how to:

  • Install a 3 node YugabyteDB cluster on Google Kubernetes Engine
  • Build the sample Northwind database
  • Build and configure SQLPad
  • Start the required SQLPad processes
  • Launch the SQLPad UI and issue a test query to validate the deployment

New to distributed SQL or YugabyteDB?

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