Case Study: The Hotels Network cuts latency with Redpanda Cloud
Key results
The challenge
The Hotels Network (THN) serves over 20,000 hotels worldwide with personalization and benchmarking tools and wanted to combine real-time data with its machine learning models. It lacked in-house expertise to maintain its Kafka cluster and faced data latency issues, cluster complexity, and climbing infrastructure costs.
The solution
THN chose Redpanda Cloud for its Kafka API compatibility and lower-latency, cost-efficient compute, integrating it with Tinybird for real-time analytics and adopting Redpanda Console for observability, with 24/7 support from Redpanda's Customer Success team.
“Partnering with Redpanda has been the best decision for THN because we can delegate our infrastructure management and just focus on building a better experience for our clients.”
VCVictor CarrascoCTO, The Hotels Network
The results, in context
Benchmarks showed 2-3x lower end-to-end latency than competing Kafka solutions, with response times under 150ms, while Redpanda ran on three times fewer compute resources than Kafka for significant cost savings. THN reports almost 100% uptime since beginning the partnership and higher customer engagement.