Couchbase Introduces New Operational Efficiencies to Reduce Deployment Costs for Modern Applications 

Couchbase has announced version 7.1 of Couchbase Server, a new release that delivers advancements in performance, storage capacity, and workload breadth, including expanded operational analytics support with direct Tableau integration–all while reducing deployment cost. According to Couchbase, with 7.1, enterprise architects and development teams reduce the cost of building and running applications while gaining operational efficiency. 

“More organizations are experiencing the drawbacks of deploying first-generation cloud architectures, and one of the main disadvantages is the cost of cloud instance sprawl,” said Ravi Mayuram, chief technology officer at Couchbase. “As a result, companies today are looking to consolidate infrastructure resources to spend less and reduce the complexity of their data architectures with multi-model databases. This release does that and more, helping to shrink cluster sizes while providing higher throughput, larger data capacity and easier access to active analytics through Tableau. With Couchbase Server 7.1, modern applications can become both smarter and more cost-efficient.” 

The new Couchbase Server 7.1 enhancements provide better performance while reducing the number of cluster nodes required to handle larger volumes of data. It delivers an extremely affordable total cost of ownership compared to other multi-model NoSQL alternatives.

Customers will benefit from the following:

  • Improved cluster efficiency and performance which lowers deployment costs by introducing a new high-density storage engine that increases node storage capacity by more than 3x, increases write throughput by 4x and lowers memory consumption by 10x. Customers can dramatically drive down cluster costs, size, and complexity. This means that existing clusters can become up to 10 times more efficient while handling three times more data, says Couchbase. In addition, new clusters can start smaller using lower commodity hardware instances, and grow more efficiently, giving customers the ability to be significantly more cost-efficient in supporting classic database use cases.
  • Increased support for conventional database capabilities such as improved backup service for better data availability and JavaScript-based user-defined functions (UDFs) for better separating of functional processing from storage management. 
  • Expanded support for ARM processors, offering higher performance while lowering power consumption and reducing cloud operating expenses. Customers can develop containerized, Couchbase-powered applications on local Apple M1 systems and easily deploy them to AWS Graviton-based instances. This practice can further reduce customer infrastructure costs by up to 50%, according to Couchbase.

In addition, a new direct Tableau connector enables operational analytics in Couchbase, providing an effective approach to analyzing active JSON data within its operational data store, without interfering with operational performance and without moving the data. Users can create tabular views using SQL++, develop visualizations in Tableau and perform rich, interactive analyses to derive insight from active operational data.

“Integrating Tableau’s leading analytics platform with Couchbase’s leading modern database will provide customers with an easy way to see and understand their data,” said Brian Matsubara, vice president of global technology alliances at Tableau. “Together, we can provide fast and easy visualization of our customers’ Couchbase JSON data using a new connector to help make it easier to access enterprise data in near real-time. Customers can now create tabular views in Couchbase, develop visualizations and dashboards in Tableau and perform rich interactive analyses to derive even more insight from operational analytics.”

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