Streaming data that's simpler, more reliable, with unbeatable price performance
Why real-time data is still too hard
Modern systems rely on real-time data, but most infrastructure wasn’t built for it. Legacy stacks are brittle, complex, and too slow for today’s AI-first workloads.
Complexity slows you down
Legacy stacks demand constant tuning, fragile integrations, and specialized expertise to stay stable.
Latency breaks real-time systems
Spikes, jitter, and slowdowns disrupt pipelines and make intelligent systems unreliable.
Costs that scale the wrong way
More data means more infrastructure, more management overhead, and unpredictable costs.
Not built for real-time AI workloads
Legacy architectures can’t reliably support continuous inferencing, agentic behavior, or intelligent automation.
Purpose-built for performance, engineered for simplicity
Redpanda removes the complexity and cost of legacy streaming stacks with a single, high-performance platform designed for today’s real-time world.
Simpler to run
A single C++ binary with no JVM, no ZooKeeper, and no extra services—Redpanda radically reduces operational overhead.
Faster to move data
Thread-per-core performance delivers sub-millisecond latencies, even under heavy load—ideal for AI and mission-critical apps.
Smarter to operate
Self-tuning, auto-balancing, and Kubernetes-native—Redpanda is engineered for fast-moving platform teams.
AI-first readiness
Real-time and historical data access, built-in durability, total consistency, and support for data sovereignty make Redpanda a perfect fit for agentic AI and live inference.
Built for global scale
Run Redpanda in the cloud, on-prem, at the edge, or inside your VPC with BYOC—your data, your control.
Efficiency built in
Redpanda reduces infrastructure needs by up to 6x, delivering real-time performance without the cloud bill shock.
Safe under pressure
Jepsen-verified with zero data loss, Redpanda provides strong consistency and built-in resilience for critical systems.
Integrate seamlessly with your entire stack
Go from humdrum data pipelines to composable data products. Connect anything with 300+ connectors.
Multi-cloud ready. Enterprise flexible.
Redpanda provides fully-managed cloud services and availability for self-managed deployments.
Cloud
Fully managed on AWS, GCP, and Azure with automated ops, 24x7 support, and marketplace availability.
Platform
Kafka-compatible event streaming platform built for data-intensive applications.
From agentic AI to observability and personalization
Redpanda gives you the foundation for intelligent, responsive, and scalable systems—whether you’re building personalized experiences or powering predictive models.
Unlock growth opportunities in retail and e-commerce with Redpanda’s high-speed, low-latency data streaming platform. Simplify inventory management, deliver personalized customer experiences, and drive revenue—without the complexities of Kafka.
Unlock real-time revenue opportunities with Redpanda’s powerful, Kafka-compatible streaming platform. Deliver personalized user experiences, automate billing, and simplify integrations—faster and more efficiently than ever.
Platform components
The Redpanda platform is your easy button for streaming data. It comes built in with a human-friendly CLI, a rich UI that simplifies working with real-time data, and 300+ pre-built connectors. Its powerful nature gives you up to 10x lower latencies and reduces your total costs by 6x—without sacrificing data safety!
Redpanda node
Redpanda nodes are self-sufficient with everything you need built in. Say goodbye to external dependencies (like JVM or KRaft) and hello to rapid boot times, simpler CI/CD integration, and reliable production environments.
Redpanda Connect
Redpanda Connect puts 300+ connectors at your fingertips, helping you integrate data from disparate sources in the blink of an eye. It is a declarative integration framework that's a simplified and powerful alternative to heavy-duty systems.
Redpanda Console
Redpanda Console is a developer-friendly UI that complements rpk, our CLI, for managing your Kafka-compatible clusters. It also gives you enhanced data observability and secure access control.
What makes Redpanda different?
Engineered for multi-core
Redpanda was engineered from scratch and written in C++ to extract the best performance out of every core, disk, memory chip, and network byte. It uses a patent-pending thread-per-core architecture to ensure the highest throughput, with up to 10x lower latencies, no matter where it’s deployed: global multi-region cloud clusters, on-prem bare metal hardware, private cloud containers, or at the edge!
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Single binary
Redpanda nodes deploy as self-sufficient processes with built-in schema registry, http proxy, Kafka API-compatible message, and Raft-based data management, and control. They are free from external dependencies like JVM, ZooKeeper™, or KRaft servers. A smaller compute footprint and fewer components means instantaneous boot times, simpler CI/CD integration, and more reliable production environments.
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Native Raft
Redpanda leverages the Raft consensus protocol for its data management and control functions to improve performance, data safety, and cluster reliability, no matter the size and shape of your workloads. Since the nodes natively speak Raft, there aren’t additional quorum servers to manage!
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Cloud-first storage
Redpanda clusters use cloud object storage (Amazon S3, Google Cloud Storage, or Azure Blob Storage) as the default storage tier. This enables Redpanda to deliver new capabilities such as Remote Read Replicas, and Intelligent Tiered Storage, that let you manage and distribute petabytes without breaking your bank on extra storage costs, and with minimal administrative overhead.
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Data sovereignty
Want the data controls of self-hosted clusters but the ease of Cloud? Redpanda Cloud's Bring Your Own Cloud (BYOC) approach gives you fully managed clusters that run within your VPC! Redpanda manages resource provisioning, monitoring, and upgrades, without your data and credentials ever leaving your environment!
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Redpanda Connect
Go from humdrum data pipelines to composable data products. Redpanda Connect prioritizes reliability and a convenient git-ops experience, allowing you to easily adapt data workflows as requirements change. Choose from 300+ open-source connectors, all packaged as a single Go binary that's 128 MiB. Or build your own, with multiple plug-in strategies including your favorite Wasm-supported languages.
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Inline data transforms
Reduce "data ping pong" and create more efficient pipelines by pushing transformation logic into the streaming engine itself. Redpanda Data Transforms is a stateless inline data processing framework that's built on WebAssembly (Wasm), allowing developers to write arbitrary code to process individual messages in-flight as they pass through the broker.
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Best-in-class experiences from startups to the enterprise
"We had a large Kafka environment (800M events per day). I dropped Redpanda in and changed nothing and that's when I was completely sold."
"Redpanda was able to handle the same load on far less resources than Kafka required. It was 5 to 6 times more efficient, greatly reducing our hardware costs as well as support and licensing costs."
"Redpanda helped us grow from the hundreds of millions of dollars in trading per day to billions of dollars."
"We have operational agility with Redpanda, meeting stringent SLOs while keeping developers focused on high-value work. Redpanda's tiered storage saves up to 30% on storage costs, easily handling 14.5GB/second."
"Redpanda rose to the top of our list because we knew its obsessed over performance and reliability at scale. We tested the data platform for up to 100M users with zero performance blips at 100GB/min throughput and peaks of 100K transactions/second."
Experience the better way to stream data
Need help deciding?
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