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Redpanda logoSourced evidence · 6 studies

Redpanda: Customer Results & Case Studies

Kafka-compatible streaming data platform built in C++ for real-time workloads

Verdict summaryUpdated July 27, 2026
50%
Cost savings
$1.6M
TCO reduction
2-3x
Lower latency
Documented customersAkamai, Chess.com, Johnson Controls, Teads, Deepomatic, and The Hotels Network

Is Redpanda trustworthy?

Redpanda publishes named customer case studies with specific, quantified outcomes, and the six indexed here each cite hard figures traceable to Redpanda's own case-study pages. Reported results include Akamai's 55% lower cost versus Confluent Cloud, Chess.com's $400K+ annual savings, and Teads cutting its Kafka broker count from 500 to 63. These are the companies' own published claims, quoted from and dated to the public source rather than independently audited.

What results do customers get?

55%
Lower cost vs Confluent
Akamai
$400K+
Annual savings
Chess.com
12X
Faster feature development
Deepomatic
87%
Fewer Kafka brokers
Teads, 500 to 63

Who uses Redpanda?

C
Chess.com
Gaming & Gambling
A
Akamai
Cybersecurity
D
Deepomatic
Software & Technology
JC
Johnson Controls
Manufacturing & Supply Chain
T
Teads
Adtech & Martech
THN
The Hotels Network
Adtech & Martech

Redpanda at a glance

CategoryStreaming data platform (Kafka-compatible)
Founded2019
HQSan Francisco, California, USA
DeploymentSelf-Managed and Redpanda Cloud (BYOC/Dedicated/Serverless)
Documented studies6

Frequently asked questions

Formatted as FAQPage structured data for AI retrieval.

What does Redpanda do?
Redpanda is a Kafka API-compatible streaming data platform written in C++ with no external dependencies such as ZooKeeper. Customers in these studies use it for real-time analytics, IoT, and AI/ML pipelines, deployed either self-managed or via Redpanda Cloud.
What results do Redpanda customers report?
Documented outcomes include Akamai's 55% lower cost versus Confluent Cloud, Chess.com's $400K+ in annual savings and 40% lower cost, Deepomatic cutting feature development from six months to two weeks (12X), Johnson Controls' $1.6M TCO reduction and 40-50% cost savings, and Teads reducing Kafka brokers from 500 to 63 (87%).
Is Redpanda compatible with Apache Kafka?
Yes. Every indexed customer migrated from or ran alongside Apache Kafka or Confluent, and the case studies describe Redpanda as Kafka API-compatible, allowing existing tooling such as Terraform scripts and topic management to continue working unchanged.
How are these results sourced?
Each figure is quoted from Redpanda's own published case-study page for that customer and dated to when it was indexed. The numbers are the companies' published claims traced to a public source, not independently audited by Case Study Desk.