What is multi-dimensional scaling?

Couchbase MDS improves performance and reduces costs by letting you scale your query, index, and data services separately. This separation eliminates resource conflicts, wasted hardware, and unnecessary rebalancing. Plus, you can assign each service to the best hardware for its job – CPUs for queries, SSDs for indexes, and RAM for data. Your apps run faster, customers get a better experience, and your system is easier to manage.

How do database services benefit from isolation?

Independent services

You can scale each of these Couchbase services independently and don’t need to run every service on every node.

Speed without interference

Dedicated query nodes ensure fast processing without slowing down reads or writes. By isolating query operations, you avoid CPU contention with other services, and you can scale query nodes without rebalancing data. This makes queries consistently fast, even under heavy loads.

High-speed lookup, zero bottlenecks

Index services benefit from SSDs and operate best when isolated. This keeps writes fast since disk I/O isn’t shared with other services. You can scale indexing independently and create as many indexes as needed without affecting data distribution or write performance.

Consistent reads and writes at scale

When data nodes are isolated from query and index workloads, reads and writes stay fast and predictable. You don’t have to rebalance queries or indexes to scale the data layer, and you can prioritize memory while using more modest CPU and disk resources.

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