Ecosystem Integrations

YugabyteDB Integrates with Arctype SQL Client

January 25, 2022

Databases Ecosystem Integrations PostgreSQL YugabyteDB

YugabyteDB Integrates with Arctype SQL Client

PostgreSQL has eaten the world. And so Yugabyte set out to build the most Postgres-compatible, scalable, and resilient database. YugabyteDB is not only wire compatible with PostgreSQL, it is code compatible by reusing the upper half of PostgreSQL. Thanks to this compatibility, YugabyteDB can connect to the vast majority of database tools that integrate with Postgres.

In a previous blog post, Yugabyte Developer Advocate Franck Pachot showed how to connect YugabyteDB in Arctype.

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Getting Started with YugabyteDB, Temporal, and the Temporal-Maru Benchmarking Tool

December 15, 2021

By Eric Pratt

Databases Distributed SQL Ecosystem Integrations How It Works Kubernetes Open Source YugabyteDB

Getting Started with YugabyteDB, Temporal, and the Temporal-Maru Benchmarking Tool

Learn how to integrate Temporal and Maru with the YugabyteDB database to run sample workflows and operate resilient applications using developer-friendly primitives.

Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It to Kubernetes on minikube

September 17, 2021

By Suda Srinivasan

How To Kubernetes Spring YugabyteDB Aeon

Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It to Kubernetes on minikube

Spring Boot is one of the most popular frameworks for building cloud native applications. It makes configuring an application easy and offers tons of starters to get you off the ground quickly. Each Spring Boot application is stand-alone and self-contained, which makes them easy to deploy in a distributed fashion – to containers or, even better, on Kubernetes.

YugabyteDB Managed (formerly Yugabyte Cloud) is Yugabyte’s DB-as-a-service and is a perfect match for Spring Boot applications,

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Spring Data YugabyteDB – Getting Started!

September 2, 2021

By Nikhil Chandrappa

Spring YugabyteDB Aeon

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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Getting Started with the Kafka Connect for YugabyteDB (beta)

July 21, 2021

By Suranjan Kumar

How To Kafka

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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Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

June 23, 2021

By Nikhil Chandrappa

Distributed SQL GraphQL How To YugabyteDB Aeon

Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

Hasura is a leading vendor in the GraphQL ecosystem, offering a powerful alternative to REST for building microservices and mobile applications. Hasura’s open source GraphQL Engine connects to your database and instantly auto-generates a production-ready GraphQL API backend. YugabyteDB, the open source distributed SQL database, is a perfect complement to GraphQL giving you horizontal scalability, fault tolerance, and global data distribution in a single system. YugabyteDB eliminates many of the scaling and resilience limitations of a traditional monolithic RDBMS.

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Creating Standard Patterns to Load Data into YugabyteDB with Apache Airflow

March 25, 2021

By Jimmy Guerrero

Ecosystem Integrations How It Works

Creating Standard Patterns to Load Data into YugabyteDB with Apache Airflow

In this talk, learn how data platform engineers can provide a standard template for users to perform business-specific actions with Apache Airflow to replicate Postgres data to a distributed YugabyteDB instance. They conclude with a brief overview of the Airflow Provider framework.

Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

January 26, 2021

By Nikhil Chandrappa

Databases Distributed SQL GraphQL Kubernetes

Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

GraphQL provides a query language for APIs, giving UX developers autonomy over querying APIs and the database.

The advantages of using GraphQL for UX applications are well understood. GraphQL clients can retrieve only the data needed in the UI application. GraphQL provides a strong type system that avoids manual code parsing and data filtering that takes up precious processing cycles when rendering the UI to users. Additionally, GraphQL increases UX development’s velocity, and the feedback cycles needed for designing API responses are minimized.

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Distributed SQL Summit Recap: Cloud Native Spring for Relational Databases

January 15, 2021

By Michelle Brinich

Databases Distributed SQL Spring

Distributed SQL Summit Recap: Cloud Native Spring for Relational Databases

Editor’s note: Below is the final recap from last year’s event. There’s still time to join us live for the upcoming Distributed SQL Summit, Jan 20-22 in India Standard Time.

At the Distributed SQL Summit 2020, DaShaun Carter, formerly a Tanzu Solution Engineer at VMware presented the talk, “Cloud Native Spring for Relational Databases”.

In the talk, DaShaun takes us down about a possible path to distributed SQL,

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A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

December 4, 2020

By Jimmy Guerrero

Amazon DynamoDB Distributed SQL GraphQL How To

A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

At the Distributed SQL Summit 2020, Tobias Meixner – CTO & Co-Founder at BRIKL , presented the talk, “A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura.”

Switching databases is painful, even more so when going from NoSQL to SQL. In this talk Tobias gave us insights into BRIKL’s two key elements of their migration path. First, migrating from Apollo Server and Amazon DynamoDB over to Hasura and YugabyteDB.

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Ecosystem Integrations

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