CHALLENGE + IMPACT
Poor app performance impacts your entire business
Many organizations suffer from app performance issues like downtime, high latency, and long wait times for users. All of them directly impact growth rates, customer satisfaction, and your bottom line.
Lost revenue due to downtime
When your systems go down, customers start looking at your competitors for a better experience
Unhappy application users
Poor app performance slows down your growth and impacts your ability to enter new markets
Complaints from the operations team
When business applications underperform, your internal teams can’t work efficiently
Applications can get overwhelmed by high traffic
Fix performance issues with a fast database that offers distributed active clusters to reduce network lag and eliminate latency caused by too many concurrent users, while in-memory caching reduces the traffic to your backend system.
- Improve latency due to high user concurrency
- Reduce latency due to unresponsive backend systems
- Support apps that require fault-tolerant clustering and storage
PRODUCTS
Performance first
The #1 reason why customers choose Couchbase is superior performance born from an exceptional design that combines caching with in-memory data access services and a scalable, tunable data partitioning and clustering topology. The result is speedy, scalable applications enjoyed by happy users.
Built-in caching
Incredible performance
All interactions are cached in RAM for reuse, reducing pressure on back-end systems.
Cache with CapellaMemory-first access & tuning
Supercharged services
All data access services (Key-value, JSON, SQL, Search and Eventing) run in memory and scale independently.
Do more with servicesCUSTOMERS
Customer testimonials related to application performance
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“What we value a lot is that Couchbase was able to embrace with us our vision to the cloud, and the fact that we wanted to operate data stores directly on PaaS.”
Vincent Bersin, Unit Manager, NoSQL Solutions, Amadeus IT Group50% TCO reduction -
“Couchbase is a highly scalable, distributed data store that plays a critical role in LinkedIn’s caching systems.”
Michael Kehoe, Senior Staff Site Reliability Engineer, LinkedIn10M+ queries/sec<4 ms avg latency -