Sold by: Redpanda
Deployed on AWS
Redpanda is the event streaming platform that simplifies how you engineer and operate real-time and AI applications. Built for the modern enterprise using open standards, Redpanda delivers a simple, efficient, and safe way to develop streaming, analytics, and agentic AI apps without the operational burden or cost of traditional Kafka systems. It features full Kafka API compatibility, 300+ managed connectors, enterprise-grade security, and fully managed cloud service that's deployable in your own VPC.
4.5
Overview
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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).
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Commit | Redpanda annual commit | $25,000.00 |
Dimensions summary
This listing uses a single pricing dimension: an annual commit measured in units. You purchase a set amount of Redpanda usage upfront under a yearly contract. The commit applies across the covered deployment models, including Bring Your Own Cloud (BYOC) and Dedicated or Serverless options. Instead of paying per individual resource, you buy units that draw down against your committed balance as you consume the service. Your total scales with the number of units you commit to for the term. There are no separate tiers or add-on dimensions to select on the Marketplace.
Top-of-mind questions for buyers
A unit is a prepaid measure of Redpanda usage. You buy a set number of units under your annual contract. As you run clusters and move data, consumption draws down against your committed unit balance instead of billing each resource separately.
Your commit covers Bring Your Own Cloud (BYOC) and Dedicated or Serverless deployments. BYOC runs Redpanda inside your own environment. Serverless removes infrastructure setup. Usage across these models draws from the same committed unit balance under one contract.
Your bill scales with the number of units you commit to for the term. The Marketplace listing offers only this single commit dimension, with no separate overage tier or add-on to select. For details on usage beyond your committed balance, contact the vendor.
redpanda.com
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Vendor refund policy
In accordance with the Redpanda Standard Contract for AWS Marketplace
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
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
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Kafka API Compatibility
Full Apache Kafka API compatibility enabling seamless integration with existing Kafka-based applications and tools
Managed Connectors
300+ built-in connectors to popular data systems including Snowflake, MongoDB, Amazon S3, SQS, SNS, Kinesis, Lambda, Bedrock, DynamoDB, and CDC for MySQL and PostgreSQL on RDS
Tiered Storage Architecture
Automatic tiered storage that rolls data from brokers to object storage, delivering up to 8-9x savings in long-term data retention costs
Deployment Flexibility
Multiple deployment options including Bring-Your-Own-Cloud (BYOC), Dedicated, and Serverless cloud products with zero-downtime upgrades and patching
Service Reliability
Uptime SLA of 99.99% for Dedicated deployments and 99.9% for Serverless deployments with automatic cluster balancing and built-in monitoring
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Integration Connectors
120+ pre-built source and sink connectors for AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics Platform
Apache Iceberg integration to convert Kafka topics into tables for downstream analytics across AWS Glue, Redshift, Athena, EMR, and SageMaker Lakehouse
Service Availability
99.99% uptime SLA coverage for core Kafka operations with enterprise-grade support and faster issue resolution
Cloud-Native Architecture
Fully managed, elastic, and auto-scaling Kafka clusters built on Apache Kafka and Confluent's cloud-native Kora engine
Distributed Messaging and Streaming Platform
Apache Pulsar open-source distributed messaging and streaming platform with support for both messaging and streaming use cases
Multi-Language Client Library Support
Rich client library ecosystem with support for C/C++, Python, Java, GO, JavaScript, Rust, and additional programming languages
Kafka Compatibility Layer
Kafka On StreamNative (KSN) offering enabling compatibility between Pulsar and Kafka ecosystems
Cloud Storage Integration
Lakehouse Storage support with integration to AWS S3, supporting Apache Iceberg and Delta Lake formats for data offloading and real-time analytics
Serverless Functions and Event Processing
Pulsar Functions enabling event-driven applications and real-time data processing capabilities
Standard contract
No
No
Customer reviews
Akshat S.
Clean, Intuitive UI with Fast Performance and Smooth Onboarding
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
The clean, intuitive user interface and high processing speed stand out right away when compared to other platforms. The management console is well-designed and easy to navigate. Onboarding was very quick, and having an active community helped us get up to speed without friction.
What do you dislike about the product?
Certain pricing plans feel a bit expensive relative to alternative options. Some external integrations lacked consistent reliability during testing, and the suit of Ai agent features felt a bit excessive, with several tools not adding practical value to our workflow.
What problems is the product solving and how is that benefiting you?
We evaluated Redpanda to solve challenges around real-time streaming pipelines, through it didn't end up being our long-term fit. That said, during our test phase, the pipelines remained remarkably stable with a reduced infrastructure footprint, cutting down management time and letting us redirect effort to other core tasks.
Ram B.
High-Performance Kafka Compatibility with Simple, ZooKeeper-Free Cluster Setup
Reviewed on Oct 14, 2026
Review provided by G2
What do you like best about the product?
The native C++ design and no overhead from the JVM are some notable highlights. The Kafka API compatibility allows us to replace broker without any charges in the application. No Zookeeper and KRaft dependencies make cluster configuration easier, and the Tiered Storage provides offloading cold partition partitions to the cloud automatically.
What do you dislike about the product?
Although the Web Console allows to monitor topics, more complicated management operations and fine-grained access control need additional enterprises-level licence. Also, as the ecosystem-level licence. Also, as the ecosystem is younger than that of Kafka, sometimes we need to spend more time searching for some troubleshooting guides in community.
What problems is the product solving and how is that benefiting you?
First of all, it reduces the heavy memory usage and GC latency spikes in traditional Kafka cluster. Secondly instead of wasting time on configuring nodes, Redpanda provides high throughput and low tail latency as a single excutedable.
Prateek M.
Fast, Clean UI and Quick Onboarding—But Pricing and Integrations Need Work
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
The best things about it are the simple UI and how fast it is compared to other platforms. The console is very clean and easy to navigate. Onboarding was quick, and their community is quite active as well, which helped a lot.
What do you dislike about the product?
Pricing for specific plans was a little higher compared to other platforms. The external integrations didn’t work very reliably, and there are also so many AI agent features that it feels like too much many of them don’t really make sense.
What problems is the product solving and how is that benefiting you?
We were trying to solve the problem of running real-time data streaming, but it didn’t work out for us. That said, while we were testing it, the pipelines were stable and required less infrastructure. It also took less time for us to set up and manage, which freed us up to focus on other important problems.
Nourhan A.
Kafka-Compatible API with Low Latency for Seamless Streaming Integration
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
The Kafka-compatible API makes it easier to implement streaming without having to completely rewrite the entire pipeline or change the overall development paradigm. For payment event processing, this can be especially useful for delivering transaction events to downstream services with low latency. I also appreciate the emphasis on minimizing the overhead involved in running the streaming infrastructure.
What do you dislike about the product?
Even with reliable streaming in place, you still have to think carefully about partitioning, retention policies, and consumer performance. For payment event pipelines in particular, consumer lag can delay transaction updates in downstream services, so monitoring and capacity planning become essential. On top of that, the migration process needs thorough compatibility testing to ensure existing integrations continue to work as intended.
What problems is the product solving and how is that benefiting you?
It helps when implementing real-time data pipelines by delivering payment events to downstream services, so each service doesn’t have to constantly poll the database for updates. With this approach, data stays fresher and you can reduce unnecessary database queries. Kafka compatibility can also make it easier to integrate with existing streaming solutions, although production performance still depends heavily on how the workload is designed and how well it’s monitored.
Adan B.
Reduced Overhead and Predictable Low Latency with Redpanda
Reviewed on Oct 13, 2026
Review provided by G2
What do you like best about the product?
Transitioning our event streaming pipelines to the Redpanda Data Platform has substantially reduced our operational overhead while maintaining robust throughput. The primary advantage is its single binary C++ architecture, which completely eliminates the need for JVM garbage collection tuning and ZooKeeper dependencies, delivering predictable, ultra low p99 latencies under heavy load. Because Redpanda is natively compatible with the Apache Kafka API, we were able to migrate our existing producers, consumers, and connectors without making any code changes to our application layer. Features like built in Tiered Storage which automatically offloads historical log segments to object storage have significantly lowered our local storage costs, while the integrated console makes monitoring topic throughput and consumer lag straightforward right out of the box...
What do you dislike about the product?
The main limitations stem from documentation depth for niche setups and a heavy reliance on command line management for complex tasks. While the built in web dashboard works well for high level monitoring, detailed administrative actions still depend entirely on the rpk CLI tool. Additionally, while the core product documentation is thorough, finding specific guidance for complex deployment edge cases occasionally requires reaching out to their community Slack rather than finding immediate answers in the official docs, and certain legacy Kafka Connect plugins require extra validation before deploying at scale!...
What problems is the product solving and how is that benefiting you?
We needed a high-throughput event streaming platform that wouldn't require excessive engineering overhead to maintain. Redpanda solved our infrastructure cost and operational efficiency challenges by using a thread-per-core architecture that delivers higher throughput on fewer, smaller compute nodes compared to traditional options. By eliminating complex JVM tuning and external quorum management, our engineering team spends significantly less time managing cluster infrastructure and can onboard new developers to our data streaming platform much faster...