Overview
Poolside and Redpanda Cloud
Learn how poolside uses Redpanda Cloud to stay ahead in the competitive world of AI. Training poolside's ML models with the latest data used to take weeks. With Redpanda, it only takes a day.
Poolside and Redpanda Cloud
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Redpanda Cloud is the event streaming platform that simplifies building real-time and AI applications, delivered as a fully managed service. It's a simple, fast, and secure solution that lets modern engineering teams ship streaming, analytics, and agentic AI apps without the complexity or cost of traditional Kafka-based systems. It comes with 300+ built-in connectors, Kafka-API compatibility and industry-leading data and AI governance with a Bring-Your-Own-Cloud (BYOC) deployment option.
The service provides access to all features across Redpanda's Serverless and Dedicated cloud products (via AWS Marketplace public offer), and support from Redpanda technical experts who live and breathe streaming data. With Redpanda Cloud, your cluster operations are managed by Redpanda, including upgrades and patching with zero downtime, data and partition balancing -- all backed by an uptime SLA of 99.99% (Dedicated) and 99.9% (Serverless). Redpanda Cloud also includes access to built-in connectors to popular data systems like Snowflake, MongoDB, Amazon S3, SQS, SNS, Kinesis, Lambda, Bedrock, DynamoDB, and change data capture (CDC) for MySQL and PostgreSQL on RDS.
Access to Redpanda BYOC is available via AWS Marketplace private offer. Reach out at https://www.redpanda.com/contact to learn more.
Highlights
- Zero-hassle data streaming: A complete streaming data environment in a single fully managed service, including brokers, HTTP proxy, and schema registry. Automatic cluster balancing, upgrades with no downtime, monitoring and connectors built-in.
- Cost-effective: Tiered storage automatically rolls data from brokers to object storage, delivering up to 8-9x savings in long-term data retention costs.
- Powerful: Maximizes the performance potential of today's hardware, resulting in higher throughput and lower latencies vs. other Kafka services. Staffed by streaming experts 24 hours a day, Mon - Fri, plus 24/7 coverage for production outages (Dedicated or BYOC).
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Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Commit | Redpanda annual commit | $25,000.00 |
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In accordance with the Redpanda Standard Contract for AWS Marketplace
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Redpanda Cloud is backed by a 99.9%-99.99% uptime SLA. Support is available 24 hours a day, Mon - Fri, plus 24/7 coverage for production outages (Dedicated or BYOC), available at
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Customer reviews
Efficient, Cost-Effective Streaming with Unmatched Support
Modern Kafka Without the Overhead: Fast Performance, Great ROI, Proactive Support
UI / UX: The Redpanda Console provides a clean, intuitive, and high-performance interface that makes topic management, message inspection, and consumer group monitoring effortless for both developers and SREs.
Integrations: Its API compatibility with Kafka is flawless. We were able to leverage our existing ecosystem of connectors and tools without changing of code, making the transition seamless.
Performance: Their architecture provide significantly lower latency and higher throughput compared to JVM-based solutions.
Pricing / ROI: We’ve seen a better ROI - both in terms of cloud infrastructure costs and reduced operational "toil".
Support / Onboarding: The onboarding process was straightforward, and the Redpanda team's support is highly proactive. They feel more like partners in our architecture than just a vendor.
AI / Intelligence: We are excited about Redpanda’s vision for Data Transforms and its ability to process data in-stream. This is crucial for our AI workflows, allowing us to pre-process and clean data at the edge before it hits our models.
Integrations (Kafka Connect): Our main concern at the moment is the upcoming end-of-life/deprecation of managed Kafka Connect support. For a team that relies on a streamlined, managed ecosystem, this transition introduces additional operational complexity, as we now have to rethink how we manage our connectors.
UI / UX: Console is great, more terraform (IaC) support would be a welcome addition.
Support / Onboarding: No complaints here.
Pricing / AI / Performance: In these areas, we haven't encountered any significant issues.
Operational Complexity (UI/UX & Onboarding): Providing a built-in, high-quality Console, Redpanda has simplified our entire stack. This benefits us by significantly reducing the time spent on cluster management and troubleshooting, allowing our engineers to focus on building features rather than managing infrastructure.
Infrastructure Efficiency (Performance & Pricing/ROI): We’ve seen a reduction in cloud infrastructure costs and achieved much more consistent performance for our real-time data pipelines.
Ecosystem Fragmentation (Integrations): Redpanda solves the 'compatibility gap' by being fully Kafka-API compatible. This benefited us by allowing a seamless migration - we kept our existing integrations and tools while upgrading the underlying engine without any friction.
Future-Proofing (AI & Intelligence): We hope that It addresses the challenge of processing massive data streams for AI workflows. With its low-latency profile and upcoming in-stream transformation capabilities, it benefits us by providing a scalable foundation for our real-time AI and machine learning initiatives.
Business Continuity (Support): Having direct access to technical experts during onboarding and scaling has ensured that our streaming services remain highly available and reliable.
Effortless Real-Time Data Publishing with Redpanda Streaming
Been enjoying Redpanda despite event search being limited
Also the reported metrics are a little different from other Kafka services which got me confused in the beginning; not sure if this is a bad thing tho

