MongoDB Inc. is rolling out a new release of its namesake document database aimed at addressing some of the enterprise requirements that have so far gone overlooked in the rush to move away from traditional relational systems. The version is the first to implement the speedy storage engine that the startup obtained through the acquisition of WiredTiger Inc. in December.

The technology is specifically geared towards write-intensive applications such as logging systems and cloud services that need to store large amounts of unstructured data. It’s one of three options that users can plug into their MongoDB 3.0 instances through a new programmatic interface that makes it possible to swap the underlying storage engine depending on the need.

Besides offering competitive performance for many of the top use cases involving non-relational databases, WiredTiger also provides needed compression capabilities that MongoDB says can cut capacity requirements by as much as 70 percent. The new version also borrows a number of other features from the engine, most notably document-level locking.

Previously, the only way to ensure that two processes running at the same time didn’t accidentally modify the same piece of data was blocking the ability to make changes to the entire instance until the application that generated first query completed its operation. Needless to say, that’s not a particularly optimal way of going about ensuring consistency, especially not in the type of multi-tenant environments that MongoDB is designed to serve.

The upgrade allows admins to narrow down the lock to the specific object being accessed, which can help greatly simplify concurrent operations. The homegrown MMapV1 store, another storage option that serves as the default engine, has received a similar update as part of the release that allows for collection-level locking.

It’s joined by a new in-memory option that rounds out the selection and allows organizations to run their MongoDB instances entirely on RAM, which can enable a potentially massive speed improvement over conventional disk-based deployments. To help administrators take advantage of the new capabilities introduced with the release, the company is also rolling out an on-premise edition of the centralized management service it unveiled in October that provides integration with third party operations tools, continious backup, monitoring and other essential enterprise features.

Rounding out the bundle are the expanded audit capabilities included directly in the database. Organizations can now track every operation that their applications and users carry out in MongoDB and assemble the individual actions into audit trails that provide a complete view of who accesses what and when.

MongoDB 3.0 is set to hit general availability in early March.