Efficiently subscribe to SQL queries, process real-time data, and implement an event-driven architecture that combines the flexibility of a database with the power of Kafka. | Continue reading
Streaming databases power real-time applications, and downtime from typical “database migrations” is unacceptable. Here’s how ksqlDB handles the evolution of streaming queries. | Continue reading
Spring simplifies Kafka messaging, microservices communication, cloud data streaming,, and more. Learn how Spring and Kafka work, and how to easily get started in Confluent Cloud. | Continue reading
Kafka Connect integrates data between systems, databases, and more. In this tutorial, learn how Kafka Connect works, what it’s used for, setup and configuration, and more. | Continue reading
With infinite data retention comes new challenges for durability and safety. Learn how Confluent monitors, audits, and protects Kafka data on a massive scale to uphold our durability SLA. | Continue reading
Overview of ksqlDB’s internal architecture, how it fits into the Kafka ecosystem, and how to use advanced features for fault-tolerant, scalable streaming databases. | Continue reading
Building a CLI that works with multiple cloud and on-prem backends was a huge challenge. Learn how we designed and built the Confluent CLI and CLI tools, used by over 2,500 organizations today. | Continue reading
In our mission to design an elastically scaling, cloud-native Apache Kafka, we built Confluent Cloud to be an event-driven system with a seamless serverless experience. | Continue reading
How Maritime AIS uses streaming data, ETL pipelines, and analytics to fuel real-time location tracking across all their fleet using Confluent's data platform. | Continue reading
Confluent is building the foundational platform for data in motion so any organization can innovate and win in a digital-first world. | Continue reading
Our new cat, Snowy, is waking early. She is startled by the noise of jets flying over our house. Can I determine which plane is upsetting her by utilizing open source streaming solutions (Apache Kafka®), KSQL (the streaming SQL engine for Apache Kafka) and a Raspberry Pi? | Continue reading
Confluent is building the foundational platform for data in motion so any organization can innovate and win in a digital-first world. | Continue reading
Kafka outages can happen, and failures can have a huge impact. Learn typical failure scenarios, how to detect them quickly, and 6 strategies for handling outages gracefully. | Continue reading
Yes, you can run Kafka without ZooKeeper! Here's a guide to Kafka 2.8: scaling to millions of partitions, even faster failover, running Kafka in a single process, a completely new KRaft protocol, and other architectural improvements. | Continue reading
How to consume Apache Kafka topics using Azure Databricks and Confluent Cloud on Azure to leverage real-time data and cloud streaming, with all Azure services at your disposal. | Continue reading
How we used Kafka, Red Hat's Quarkus, and ksqlDB to build an event-driven sports app to track real-time game scores, player rankings, and more powered by event streaming. | Continue reading
Learn how ksqlDB works, the basics of real-time stream processing, and how it works with Apache Kafka, along with introductory concepts, visuals, and code examples. | Continue reading
Which messaging system is the fastest? The answer may shock you! Here we benchmark performance, stability, and latency at scale between Kafka vs Pulsar vs RabbitMQ. | Continue reading
Jay Kreps | Kafka Summit 2018 Keynote (Apache Kafka and Event-Oriented Architecture | Overcome by Events) | Continue reading
Apache Kafka 2.6 works to remove the ZooKeeper dependency, and adds client quota APIs, metrics to track disk read, as well as updates to Kafka Streams and more. | Continue reading
Say goodbye to Kafka ZooKeeper dependency! KIP-500 introduces a new way of storing data in Kafka itself, rather than in external systems such as ZooKeeper. | Continue reading
Say goodbye to Kafka ZooKeeper dependency! KIP-500 introduces a new way of storing data in Kafka itself, rather than in external systems such as ZooKeeper. | Continue reading
ksqlDB use case: see how apps can use ksqlDB to ingest, filter, enrich, aggregate, and query data directly with Kafka—no complex architectures or data stores needed. | Continue reading
Confluent announces revolutionary event streaming features so any businesses can leverage modernized, scalable, multi-cloud data systems. | Continue reading
Here's a deep dive on how we implemented Bincover, a simple, open source tool for measuring code coverage of Golang binaries. | Continue reading
Today, we’re announcing that we’ve raised a $250 million Series E round, valuing the company at $4.5 billion. The round was led by Coatue Management with participation from Altimeter Capital and Franklin Templeton, as well as our existing investors Index Ventures and Sequoia Capi … | Continue reading
Mock API vs. a real backend—which to choose? Mox lets you mix and match between real endpoints and mocked ones. | Continue reading
Apache Kafka allows you to achieve both high throughput and low latency. Learn to configure and scale Kafka clients to minimize latency. | Continue reading
Confluent Cloud is now offered as a fully managed, integrated cloud Kafka service with Azure for real-time stream processing at scale on Azure Marketplace. | Continue reading
Kafka Summit London 2020 is April 27th–April 28th. Check out the agenda for highest-rated talks across Kafka use cases, ksqlDB, and event stream processing. | Continue reading
Our new Tiered Storage feature allows for infinite Kafka data retention in Confluent Platform, improving scalability, cost efficiency, and ease of use. | Continue reading
Netflix uses Kafka to achieve modernized, scalable infrastructure for real-time, fault-tolerant distributed messaging and data streaming. | Continue reading
What are streams and tables in Apache Kafka, and how do they work? Here’s a complete guide to how streams-tables work for data processing, storage, fault tolerance, and more. | Continue reading
What are streams and tables in Apache Kafka, and how do they work? Here’s a complete guide to how streams-tables work for data processing, storage, fault tolerance, and more. | Continue reading
Learn how Apache Kafka allows you to connect on-premises data to Snowflake or S3 and Athena (or both) for cloud analytics. | Continue reading
Confluent Cloud is now offered as a fully managed, integrated cloud Kafka service with GCP for real-time stream processing at scale on GCP Marketplace. | Continue reading
Learn how ksqlDB can ingest, create, and configure live Twitter data streams for real-time database streaming and analytics. | Continue reading
Learn a faster, easier way to test Kafka Streams with TopologyTestDriver without using producers and consumers, complete with code examples. | Continue reading
Leverage Kafka and event-driven architectures to optimize software operations in a hybrid cloud world. | Continue reading
Today marks a new release of KSQL, one so significant that we’re giving it a new name: ksqlDB. There are two new major features we’re adding: pull queries and connector management. | Continue reading
ksqlDB is a new kind of database for building stream processing apps. Compare ksqlDB and Kafka Streams, including use cases and performance considerations. | Continue reading
Today marks a new release of KSQL, one so significant that we’re giving it a new name: ksqlDB. There are two new major features we’re adding: pull queries and connector management. | Continue reading
Kafka Connect allows for data streaming between Apache Kafka and external systems. Learn to configure connectors using a Kafka Connect SMT, complete with examples. | Continue reading
"Kafka Streams, Apache Kafka’s stream processing library, allows developers to build sophisticated stateful stream processing applications which you can deploy in an environment of your choice. | Continue reading
Learn how Apache Kafka applications can drive machine learning and real-time streaming analytic models with stream processing technology. | Continue reading
Learn to set up a Rust client with Kafka using real code examples, Schema Registry (similarly to a JVM), and rdkafka instead of Java. | Continue reading
Learn how Kafka Connect works—basic concepts and architecture, plus how to create a dynamic Kafka connector in just 4 steps using the Kafka Connect API. | Continue reading
This post covers how Apache Kafka and its Streams API are used for storing and processing all the articles ever published by The New York Times | Continue reading