Everything you need to build. Fast.

Redpanda vs. Confluent: A Performance and TCO Benchmark Report

Read McKnight's benchmark on Redpanda vs. Confluent, with insights on performance, cost efficiency, and scalability.

Why low-latency matters

Redpanda is 10x faster than Kafka. Learn how faster data can benefit your business.

Gaming industry use cases report

See how esports and game development teams can realize real-time patterns with Redpanda.

Build operational systems with Redpanda

Exploring event-driven microservice architectures for payments systems.

Redpanda's official Jepsen report

Analysis of our official Jepsen report, including a look at write-write conflicts in the Apache Kafka® protocol.

Redpanda vs Kafka TCO/perf benchmark

Redpanda is 10x faster, while reducing costs by 6x. See all the data.

Redpanda architecture and sizing guide

Our recommended guidelines for sizing production Redpanda clusters.

Kafka vs Redpanda capability comparison

Learn what sets Redpanda apart from Apache Kafka® while offering Kafka-compatibility.

A beginner’s guide to rpk commands

Skip straight to mastery with this quick guide on rpk’s must-know commands.

Migrating from Apache Kafka to Redpanda

Your migration handbook to smoothly transition from Kafka to Redpanda.

Data streaming for AI in the financial services industry

A closer look at the challenges holding companies back from successfully adopting AI—and how to solve them.

The State of Streaming Data Report (2023-24)

Independent analysis of the size, shape and scope of modern streaming data deployments.

Stream processing with Flink & Redpanda

Watch this hands-on lab in where we explored a particularly fun use case with these technologies — algorithmic trading.

Redpanda Connect

Watch this two-hour, hands-on, beginner-friendly masterclass designed to help developers master Redpanda Connect

How to Migrate from Batch and Kafka to Redpanda Streaming Data

Watch this masterclass to learn how to migrate from Apache Kafka to Redpanda, transitioning from batch to real-time data pipelines with expert insights.

Redpanda in Kubernetes

Join us for this hands-on lab, where we will step you through how to get started with our lightning-fast streaming data engine in Kubernetes.

Stream processing with Flink and Redpanda

Join us for a hands-on lab in which we explore a particularly fun use case with these technologies — algorithmic trading.

How to migrate from batch and Kafka to Redpanda streaming data

This 2-hour hands-on lab will cover how to smoothly transition from batch operations and also shift from Kafka instances to Redpanda.

Masterclass: Day 2 Operations with Redpanda

Join us for an intensive 2-hour masterclass on how to manage and maintain your Redpanda clusters.

Performance of Redpanda vs Apache Kafka

This blog post covers what's great about Apache Kafka® API and where we found room for improvement.

Arm vs Intel comparison benchmark

Comparing Graviton-based systems vs x86 hardware for real-time applications.

Redpanda vs Kafka transactions

See how with Redpanda you don't have to choose between transactionality and performance.

Redpanda vs Kafka replication protocols

An availability footprint of the Redpanda and Apache Kafka® replication protocols.

Redpanda Connect Launch Stream (June 2024)

Join us online for 45 minutes to see the end-to-end stream processing capabilities made possible by our new Redpanda Connect.

Redpanda Data Transforms Launch Stream

See the next generation of streaming data from Redpanda — includes live data transforms demo, customer talks, AMA session & tech workshop

Redpanda talk at Performance Summit

How we built a new storage engine from scratch using a thread-per-core architecture for predictable tail latencies.

Fireside chat with LinkedIn's Kafka and Samza teams

We talk to LinkedIn's Apache Kafka® and Samza teams and dive deep into the technical architecture of Redpanda.

Real-Time Predictions with Machine Learning & Streaming Data Transforms

Learn how to streamline data structures in AI applications and simplify data architecture in stateless pipelines for real-time analytics.

The Data Engineering Podcast Episode 152

Tobias and Alex discuss Redpanda as an Apache Kafka® replacement for mission critical workloads.

The future of data engineering

The authors of Fundamentals of Data Engineering talk about the democratization of streaming, the rise of unstructured data, and new data paradigms.

To stream or not to stream?

This fireside chat between Kelsey and Alex Gallego includes a candid look at when streaming data is the best approach for a use case — and when it is not.

Redpanda versus Kafka

Got the need for speed? See how Redpanda performs against Apache Kafka for various workloads and differing numbers of brokers.

Redpanda Serverless Launch Stream

Join us online for 45 minutes to see the latest streaming data advancements from Redpanda.

Migrating from Confluent Cloud to Redpanda

Watch a migration from Confluent Cloud to Redpanda, and get an overview of Redpanda’s compatibility with Apache Kafka®.

Remote Read Replicas

See our Remote Read Replicas in action. This demo will show you why it's like having a CDN for your streaming data.

Redpanda Console

Have a look at what you can do with our new web UI! This lightning talk includes a live demo of how to time-travel debug.

Tiered Storage

Hear about our tiered storage architecture, the benefits it brings and example use cases – from the team that built it.

See how consumer groups work in Redpanda

Principal engineer Noah Watkins joins Alex Gallego to discuss (and draw) how Redpanda consumer groups differ from those in Kafka.

Write path optimizations for tiered storage

Redpanda founder Alex Gallego illustrates subsystems, this time focusing on write path optimizations for tiered storage.

A demonstration of Redpanda Console (Kowl)

Alex Gallego is joined by Kowl co-creator Martin Schneppenheim for an overview of what the Kowl UI brings to the Redpanda product suite.

Redpanda's internal communication infrastructure

Redpanda creator Alex Gallego illustrates the custom RPC library used by Redpanda for blazing-fast, CPU-efficient communication between servers.

From batch to real-time: The evolution of streaming data

Redpanda founder Alex Gallego live-draws the evolution of streaming data and what’s left to do in building real-time data infrastructure.

Building a complete IoT backend with Redpanda and Tinybird

Learn how to build a complete IoT backend in 45 minutes using Redpanda and Tinybird.

Unify real-time and historical data with Shadow Indexing

Redpanda founder Alex Gallego talks and illustrates how we built our Shadow Indexing tiered storage system for limitless ingestion and retention of data.

Optimizing Redpanda's read path for tiered storage

Redpanda founder and CEO Alex Gallego discusses Redpanda internals, live-drawing about how we optimize the read path for tiered storage.

Lacework: Pipedreaming with Redpanda

Hear how Lacework built a scalable, reliable, efficient, cloud-agnostic streaming data pipeline to power its cloud security platform with Redpanda.

Friendly guide to rpk – Redpanda's command-line interface

Take a tour of the cool, dev-friendly features in rpk and learn how to use them like a pro with illustrated explanations and handy tips.

StoneX: Redpanda for retail trading

Insight into how the StoneX Retail business unit is reducing costs and improving scale for their for latency-sensitive business products.

Understanding Apache Kafka

Learn the most important Kafka fundamentals, features, and popular use cases.

Improving performance in Apache Kafka

Understand what affects Kafka's performance and how you can optimize it.

Comparing Apache Kafka alternatives

Compare popular Kafka alternatives and how they stack up against Redpanda.

Data engineering 101

Learn how data engineering converts raw data into actionable business insights.

Understanding event stream processing

Learn about the principles, considerations, best practices, and trends of event stream processing.

Kafka architecture—a deep dive

Learn the basic building blocks and explore Kafka's design principles.