Confluent Blog

Building cross-platform solutions enables organizations to leverage technology driven by real-time data and enabled with both highly available services and low-latency databases hosted on Microsoft Azure. Azure Cosmos DB is

Today, every company is a data company. There are many different data pipeline, integration, and ingestion tools in the market, but before you can feed your data analytics needs, data

SAP is a German multinational software corporation that develops and markets enterprise software to manage business operations and customer relations. SAP is most famous for its enterprise resource planning (ERP)

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

Kafka Connect is part of Apache Kafka®, providing streaming integration of external systems in and out of Kafka. There are a large number of existing connectors, and you can also

It’s 3:00 am and PagerDuty keeps firing you alerts about your application being down. You need to figure out what the issue is, if it’s impacting users, and resolve it

Since the MongoDB Atlas source and sink became available in Confluent Cloud, we’ve received many questions around how to set up these connectors in a secure environment. By default, MongoDB

Near-real-time insights have become a de facto requirement for Azure use cases involving scalable log analytics, time series analytics, and IoT/telemetry analytics. Azure Data Explorer (also called Kusto) is the

Building a Cloud ETL Pipeline on Confluent Cloud shows you how to build and deploy a data pipeline entirely in the cloud. However, not all databases can be in the

Why data privacy for Apache Kafka®? As companies seek to leverage all forms of data for competitive advantage, there is a growing regulatory and reputational risk that calls for the