UPDATED 15:42 EDT / JUNE 08 2022

BIG DATA

MongoDB expands its scope to address new use cases

In the fast-paced tech world, it often seems like there’s a new database solutions company cropping up at every turn. To stay competitive, NoSQL database company MongoDB Inc. has equipped its platform with features and capabilities that have expanded beyond its original use case as a document-oriented database.

“Since then, they’ve added things like search, with Lucene search, they added time series last year,” said Sanjeev Mohan (pictured), principal at SanjMo. “And this year, they keep adding more and more. So, for example, they’re going to add some column store indexes. So from being purely transactional, they are now starting to address the analytical and they’re starting to address more use cases.”

Mohan spoke with theCUBE industry analyst Dave Vellante at MongoDB World, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They provided analysis on the event’s keynote address and discussed Mongo’s product strategies, including new differentiating features and integrations. (* Disclosure below.)

Building a more robust, future-proof platform

Driven by an Atlas platform that’s increasingly becoming an enterprise standard for app development, MongoDB has recorded outstanding revenue growth and strong share prices in the past quarter, according to Mohan. So what, in particular, is the platform getting right?

New features, for one. Mongo made a barrage of new product announcements during the show. Search Facets through Atlas Search allows developers to “rapidly build search experiences that allow end users to more seamlessly browse, narrow down or refine their results by different dimensions,” the company said in its event press release.

There’s also time series collections, which will support secondary index measurements and optimize for sorting this data type more efficiently. In addition, Column Store Indexes will arrive later this year and allow for the creation of  purpose-built indexes to speed up analytical queries.

“They’re more focused on developer productivity, user experience and simplicity — make it all simple. Make the developers productive as fast as you can,” Mohan explained.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the MongoDB World event:

(* Disclosure: TheCUBE is a paid media partner for the MongoDB World NYC event. Neither MongoDB Inc., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

A message from John Furrier, co-founder of SiliconANGLE:

Your vote of support is important to us and it helps us keep the content FREE.

One click below supports our mission to provide free, deep, and relevant content.  

Join our community on YouTube

Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.

“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy

THANK YOU