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.
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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).
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Deployed on AWS
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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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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.
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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 uptime SLA of 99.99% (Dedicated) and 99.9% (Serverless)
Automated Cluster Management
Fully managed cluster operations including automatic balancing, zero-downtime upgrades, patching, monitoring, and schema registry
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Connectors
120+ pre-built source and sink connectors for integration with AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics
Apache Iceberg table conversion from Kafka topics to enable downstream analytics across AWS services including 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 clusters built on Apache Kafka and Confluent's cloud-native Kafka engine, Kora
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
Cloud Storage Integration
Integration with AWS S3 for data offloading in Apache Iceberg and Delta Lake formats, S3 Sink Connector, and cross-cluster data replication via UniLink
Serverless Stream Processing
Pulsar Functions for building event-driven applications and real-time data processing capabilities
Kafka Compatibility Layer
Kafka On StreamNative (KSN) offering enabling seamless interoperability between Pulsar and Kafka ecosystems
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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Customer reviews
Financial Services
Easy, Low-Maintenance, and High Throughput
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
It’s easy to use, low-maintenance, and the throughput is good.
What do you dislike about the product?
Integrations with other DBs, like ClickHouse, aren’t great. Also, the managed pipelines they provide aren’t very customizable.
What problems is the product solving and how is that benefiting you?
Infrastructure maintenance for deployments, including managing the infrastructure.
Financial Services
Easy Integration, Great Dashboard, and Reliable Performance
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
Nice user console/dashboard to track metrics and usage. Very easy to integrate across different programming languages. Easy integration with other vendors like Clickhouse. Never had any issues with performance. Great customer service.
What do you dislike about the product?
Some of the errors can be cryptic sometimes but I guess that's the nature of Kafka.
What problems is the product solving and how is that benefiting you?
We use for a trading and risk system to stream all sorts of market data. It's been extremely fast and had no issues scaling to consume large amounts of data.
Financial Services
Highly Reliable Kafka Implementation, but Core Improvements Feel Deprioritized
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
Highly performant and reliable software for a Kafka implementation
What do you dislike about the product?
Company is recently diverting a lot of resources working on features not useful for us rather than improving the core functionality.
What problems is the product solving and how is that benefiting you?
It’s delivering a more performant Kafka implementation than Apache Kafka
Bing L.
Redpanda Simplifies Streaming: Single Binary, Great Console, and Strong Support
Reviewed on Aug 11, 2026
Review provided by G2
What do you like best about the product?
The biggest win has been operational: Redpanda is a single binary with no JVM and no ZooKeeper/KRaft quorum to manage separately. Our previous Kafka cluster needed brokers plus ZooKeeper nodes.
Integrations: Kafka API compatibility was the deciding factor.
UI/UX: Redpanda Console gets used daily to check consumer lag, inspect messages on a topic, and confirm schema registry entries without dropping to rpk. Being able to hand a non-engineer a URL to see whether events are flowing has cut a real amount of Slack back-and-forth.
Performance: p99 produce latency sits sustained. Predictability matters more to us than peak throughput.
Pricing / ROI: Fewer, smaller nodes for the same workload dropped our streaming infra spend.
Support / Onboarding: Always respond fast, shared a Slack channel with high quality of the migration help.
AI/Intelligence: Haven't used too much but will definitely try something out.
Integrations: Kafka API compatibility was the deciding factor.
UI/UX: Redpanda Console gets used daily to check consumer lag, inspect messages on a topic, and confirm schema registry entries without dropping to rpk. Being able to hand a non-engineer a URL to see whether events are flowing has cut a real amount of Slack back-and-forth.
Performance: p99 produce latency sits sustained. Predictability matters more to us than peak throughput.
Pricing / ROI: Fewer, smaller nodes for the same workload dropped our streaming infra spend.
Support / Onboarding: Always respond fast, shared a Slack channel with high quality of the migration help.
AI/Intelligence: Haven't used too much but will definitely try something out.
What do you dislike about the product?
Observability: Metrics are Prometheus-native and thorough, but mapping them onto the Kafka dashboards and alerts we already had took real effort , names and semantics don't line up one-to-one.
What problems is the product solving and how is that benefiting you?
We use Redpanda as the ingest and fan-out backbone for high-volume telemetry from fleet devices.
The problem it solved was operational cost per unit of throughput. On self-managed Kafka we were carrying 12 brokers plus a coordination quorum, and a meaningful share of my team's time went to broker tuning, GC pauses, and capacity headroom we kept purely to absorb spikes. That was engineering time spent on the transport layer rather than on the product sitting on top of it.
Since moving to Redpanda we run 12 nodes for the same volume, latency is predictable enough, and cluster maintenance has gone from a recurring task to something I mostly don't think about.
The problem it solved was operational cost per unit of throughput. On self-managed Kafka we were carrying 12 brokers plus a coordination quorum, and a meaningful share of my team's time went to broker tuning, GC pauses, and capacity headroom we kept purely to absorb spikes. That was engineering time spent on the transport layer rather than on the product sitting on top of it.
Since moving to Redpanda we run 12 nodes for the same volume, latency is predictable enough, and cluster maintenance has gone from a recurring task to something I mostly don't think about.
Computer & Network Security
Easy BYOC Deployment, Clear Docs, and Excellent Slack Support
Reviewed on Aug 11, 2026
Review provided by G2
What do you like best about the product?
What I like best about Redpanda Streaming is how easy it is to deploy and manage, especially with the BYOC option. The onboarding experience is straightforward, the documentation is clear and practical, and the Terraform support makes it easy to automate deployments and manage the infrastructure as code.
It also integrates well with our existing monitoring solution, which made adoption much easier and allows us to keep using the observability tools and processes we already have in place.
The support experience has also been excellent. Having direct access to the team through Slack is very helpful, and responses are consistently quick and useful when we have questions or need assistance.
Overall, Redpanda significantly reduces the operational overhead of running a streaming platform while still giving us the control and flexibility we need in our own cloud environment.
It also integrates well with our existing monitoring solution, which made adoption much easier and allows us to keep using the observability tools and processes we already have in place.
The support experience has also been excellent. Having direct access to the team through Slack is very helpful, and responses are consistently quick and useful when we have questions or need assistance.
Overall, Redpanda significantly reduces the operational overhead of running a streaming platform while still giving us the control and flexibility we need in our own cloud environment.
What do you dislike about the product?
I don’t have any major complaints so far. One area that could become more important for us as we grow is having more self-service options for modifying existing clusters.
For example, being able to scale cluster size up or down, make certain networking changes, or adjust other infrastructure settings directly would be useful. To my knowledge, some of these changes currently require opening a support ticket rather than being handled through self-service.
The support team is responsive, so this hasn’t been a significant issue for us, but having more of these capabilities available directly would make managing the platform even easier as our usage scales.
For example, being able to scale cluster size up or down, make certain networking changes, or adjust other infrastructure settings directly would be useful. To my knowledge, some of these changes currently require opening a support ticket rather than being handled through self-service.
The support team is responsive, so this hasn’t been a significant issue for us, but having more of these capabilities available directly would make managing the platform even easier as our usage scales.
What problems is the product solving and how is that benefiting you?
Redpanda Streaming helps us offload the operational burden of managing a business-critical streaming infrastructure.
Previously, this was an area that could create reliability and operational issues because it required specialized expertise and ongoing attention that was not a core focus for our team. With Redpanda, we can rely on a managed platform while still maintaining the level of control we need.
The main business benefit is that our engineering team can spend less time operating and troubleshooting streaming infrastructure and more time focusing on our core product. It also reduces the operational risk around a critical part of our architecture and gives us more confidence as we scale.
Previously, this was an area that could create reliability and operational issues because it required specialized expertise and ongoing attention that was not a core focus for our team. With Redpanda, we can rely on a managed platform while still maintaining the level of control we need.
The main business benefit is that our engineering team can spend less time operating and troubleshooting streaming infrastructure and more time focusing on our core product. It also reduces the operational risk around a critical part of our architecture and gives us more confidence as we scale.