Why Redpanda?
Redpanda makes real-time data processing easy. Streamlined architecture, great performance, and developer-friendly tools—all without external dependencies. Build more, spend less, and be agile with the unified platform that simplifies building real-time applications.
Key feature breakdown
Architecture | ||
Single Binary | Brokers, schema registry, HTTP proxy, Raft consensus all built in | External dependencies on ZooKeeper/KRaft, JVM, schema registry, and HTTP proxy |
Unified Platform | One cluster supports diverse workloads. Optimize per topic for availability, consistency, latency, safety, networking costs, etc. | Requires multiple clusters to support different workload types in different deployment scenarios: Kora, WarpStream, Freight, Confluent Platform |
Cloud Storage Options | Tiered storage support. Cloud Topics roadmap (early 2025) for direct-to-object-storage persistence | Tiered storage support. Object storage options for Freight clusters (early access) and WarpStream (not enterprise-ready) |
Enterprise BYOC | Production-proven BYOC. Control plane & data plane are both fully managed and resilient to failure | Immature BYOC offering. WarpStream control plane (Confluent-managed) & data plane (customer-managed) are split and less resistant to failure |
Performance | Designed for modern hardware; supports high throughput & low latency on less infrastructure and flexible engine configurations | Fewer options to optimize performance; struggles with demanding throughput and latency |
Ecosystem | ||
Data Connectors | Redpanda Connect: 280+ data & AI connectors, simple & composable, config-based & stateless | Kafka Connect: 200+ integrations, no AI, distributed systems complexity, inefficient compute |
Apache Kafka API | Redpanda natively supports the Kafka API | Confluent natively supports the Kafka API, with some exceptions for WarpStream |
UI | Redpanda Console is free, lightweight and designed to work across the Kafka ecosystem | More restrictive licensing for Confluent Control Center, with certain features designed only for Confluent Platform customers |
Apache Flink Integration | Flink compatible, but Flink infrastructure & support are not managed by Redpanda Cloud | Fully managed Flink service available as part of Confluent Cloud |
Simplified Stream Processing | Simplified stream processing for stateless data transformations, light aggregations, and more | Kafka Connect or Flink adds costs/complexity that is overkill for the majority of streaming ETL use cases |
Support | ||
Access Experts 24/7 | Industry-leading support comes included. 24/7/365 coverage for production outages, with access to the experts who write the code | Support sold separately. Tiered support model adds delays that can hinder root cause analysis |
Cloud Provider Availability | AWS, Google Cloud, Azure, including private connectivity across all 3 (PrivateLink, Private Service Connect, Private Link) | AWS, Google Cloud, Azure, including private connectivity across all 3 (PrivateLink, Private Service Connect, Private Link) |
Security | Enterprise-grade features like SSO, RBAC, audit-logging & more | Enterprise-grade features like SSO, RBAC, audit-logging & more |
SLAs | 99.99% for Redpanda Cloud only (does not include Redpanda Connect) | 99.99% for Confluent Cloud, covers a wider mix of the ecosystem, including Flink & Kafka Connect |
TCO | Up to 60% cost reduction for fan-in architectures and up to 58% cost reduction for fan-out, according to McKnight benchmark report | Cloud CKU pricing model translates to higher costs; "Component" licenses for Platform drive up cost on top of base enterprise license |
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Benchmarking the Best: Redpanda’s Cost Advantage Over Confluent
Download this free report to learn:
- How Redpanda delivers high-performance streaming at lower costs compared to Confluent, empowering data-driven decisions and AI/ML capabilities
- Key benchmarks on cost and latency that reveal significant savings and scalability benefits for high-throughput applications
- Three use cases for real-time streaming, including observability, fraud detection, and AI-driven data processing
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