Confluent Blog

Microservices architectures have now been widely adopted among developers, and with a great degree of success. However, drawbacks do exist. Data silos can arise where information processed by one microservice

A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is

Users with business-critical data locked in mainframes want to exploit this data by using Confluent to deploy in either a public cloud, multicloud, on-premises, or hybrid infrastructure. In collaboration with

Many Oracle Database customers currently still leverage Oracle 12c or 18c in their production environments, with some even using Oracle 11g. Most of these customers have moved to 19c or

Today, Confluent is announcing the general availability (GA) of the fully managed Azure Cosmos DB Sink Connector within Confluent Cloud. Now, with just a few simple clicks, you can link

One of the most common relational database systems that connects to Apache Kafka® is Oracle, which often holds highly critical enterprise transaction workloads. While Oracle Database (DB) excels at many

This a summary of Podium’s technological journey and an example of how our engineering team is tooling ourselves to scale well into the years to come. Here at Podium, we’re

This article describes why Bolt, the leading European on-demand transportation platform that operates across ride-hailing, food delivery, and e-mobility sectors, has journeyed toward adopting change data capture (CDC). Adopting CDC

Change Data Capture (CDC) is an excellent way to introduce streaming analytics into your existing database, and using Debezium enables you to send your change data through Apache Kafka®. Although

First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill