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Category: Databases

Change Data Capture (CDC) Using a Spring Data Processing Pipeline

Change Data Capture (CDC) Using a Spring Data Processing Pipeline

Change Data Capture (CDC) is a technique to capture changes in a source database system in real-time. The goal is to stream those changes as events through a data processing pipeline for further processing.

CDC enables many use cases, especially in modern microservices-based architecture that involves a lot of bounded services. It is the de-facto choice for use cases such as search indexes, in-memory data cache, real-time notifications, data sync between sources,

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How YugabyteDB Scales Temenos’ Cloud Platform to 100K Business Transactions Per Second

How YugabyteDB Scales Temenos’ Cloud Platform to 100K Business Transactions Per Second

Temenos could not continue to rely on monolithic databases for manufacturing business operations. They needed a high-availability, scale-out transactional database, so they turned to YugabyteDB. They recently announced that the Temenos Banking Cloud is achieving 100,000 business transactions per second. Learn how that performance benchmark was achieved.

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Streaming Changes From YugabyteDB to Downstream Databases

Streaming Changes From YugabyteDB to Downstream Databases

In this blog post, we will stream data to downstream databases leveraging YugabyteDB’s Change Data Capture (CDC) feature introduced in YugabyteDB 2.13. This will publish the changes to Kafka and then stream those changes to databases like MySQL, PostgreSQL, and Elasticsearch.

YugabyteDB CDC Downstream Databases Topology

The diagram below represents how data will flow from YugabyteDB to Kafka and then further to the sink databases. 

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Change Data Capture (CDC) From YugabyteDB to Elasticsearch

This post walks through how to send data from YugabyteDB to Elasticsearch using YugabyteDB’s Change Data Capture (CDC) feature.

Background

YugabyteDB CDC is a pull-based approach to CDC introduced in YugabyteDB 2.13 that reports changes from the database’s write-ahead-log (WAL). More specifically, the detailed CDC architecture is mentioned in YugabyteDB’s documentation.

Elasticsearch is a search engine based on the Lucene library. It also provides a distributed,

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Celebrating Significant Growth Milestones in YugabyteDB’s Community!

Celebrating Significant Growth Milestones in YugabyteDB’s Community!

The YugabyteDB community is at the heart of everything we do at Yugabyte. The worldwide community of open source enthusiasts, application builders, and database aficionados has been a fountain of inspiration, knowledge, and belonging for us. Here are some community highlights we’d love to call out.

Over 5K Users in YugabyteDB Community Slack

We planned to celebrate when we reached 5,000 YugabyteDB Community Slack members. But then we blinked and realized we were already over 5,500!

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Change Data Capture (CDC) from YugabyteDB CDC to ClickHouse

This post describes how we can send data from YugabyteDB to ClickHouse through YugabyteDB’s Change Data Capture (CDC) feature.

Background

YugabyteDB CDC is a pull-based approach to CDC introduced in YugabyteDB 2.13 that reports changes from the database’s write-ahead-log (WAL). Additionally, the detailed CDC architecture is mentioned in YugabyteDB’s documentation.

ClickHouse is an open source column-oriented Online Analytical Processing (OLAP) database mainly used for analytical workloads.

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The Power of a Modern Database: YugabyteDB and VMware Tanzu

As global companies engage in app modernization initiatives, their developers find it increasingly difficult to match those efforts with a strong data layer. These developers continue to work with costly monolithic databases like Oracle or DB2 and NoSQL databases that forgo strong data consistency and important relational features. But it’s clear a modern database is required to match the ambition of app modernization.

That’s where the YugabyteDB and VMware Tanzu story comes in.

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Three Insights Gained as an Intern at DSS Asia 2022

Three Insights Gained as an Intern at DSS Asia 2022

Hey Everybody! It’s Lakshmi, reporting again from the APJ team!

I recently received valuable first-hand experience helping to run one of the team’s flagship events: the second annual Distributed SQL Summit (DSS) Asia!

This event brought together developers, architects, and business leaders from all over Asia and beyond. Vish Phaneendra’s roundup post provides a great recap. It was exciting to reach close to 1,000 unique attendees and watch 20+ different talks from thought leaders,

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DSS Asia 2022: Event Highlights and Key Takeaways

DSS Asia 2022: Event Highlights and Key Takeaways

We held our second annual Distributed SQL Summit (DSS) Asia annual conference on the 30th and 31st of March 2022, following great feedback from our initial event and user demand.

This two-day online conference was packed with fascinating presentations, discussions, and demos from customers, partners, and our own experts.

With 35 engaging sessions to choose from, and more than 40 speakers, the conference served as a hub for advocates, partners, customers,

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