nosql-dbaas-lower-tco-couchbase

A lot of customers come to Couchbase to replace outdated relational databases that were driving up their costs by dragging down the performance, flexibility, and scalability of their applications. We hear similar complaints about high costs from businesses that moved to NoSQL for flexibility, but ended up with a database that didn’t scale well. After switching to Couchbase, both types of customers commonly report that they’re able to lower their total cost of ownership (TCO) by over 50%. In this webcast, you’ll hear the story of five of these customers and learn how Couchbase’s NoSQL database enables them to:

• Consolidate their data technologies to a single database to save money
• Drive down operations per dollar with superior scaling and performance
• Use the flexibility of JSON to accelerate modernization and time to market
• Reduce the efforts and costs of their operations

Third-party comparison of Couchbase Capella™, MongoDB™ Atlas, Amazon DynamoDB, and Redis Enterprise Cloud

We’ll also provide an overview of the advantages of a NoSQL DBaaS and why they’re particularly well suited to the challenges of your modern applications. You’ll learn how the high performance, scalability, and agility of a NoSQL DBaaS can lower your TCO by:

    • Processing data more efficiently and maximizing productivity
    • Providing seamless user experiences that increase revenue
    • Minimizing hardware, licensing, maintenance, and support requirements

But not every database is created equal – so we’ll also walk you through the latest third-party testing that evaluates four of the most popular NoSQL DBaaS offerings head to head using the standard Yahoo! Cloud Serving Benchmark (YCSB). You’ll be able to compare the performance of each DBaaS based on latency and throughput measurements produced under four different workloads and four different cluster configurations.

Author

Posted by Tyler Mitchell

Works as Senior Product Marketing Manager at Couchbase, helping bring knowledge about products into the public limelight while also supporting our field teams with valuable content. His personal passion is all things geospatial, having worked in GIS for half his career. Now AI and Vector Search is top of mind.

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