MongoDB Eyes Bigger, Faster NoSQL Deployments - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Data Management // Software Platforms
09:13 AM
Connect Directly

MongoDB Eyes Bigger, Faster NoSQL Deployments

MongoDB 3.0 release promises improved scalability, speed, and manageability through new storage engine options and Ops Manager DBA software.

9 CIO Tech Priorities For 2015
9 CIO Tech Priorities For 2015
(Click image for larger view and slideshow.)

MongoDB is trying to silence its critics, please its customers, and look toward the future of database performance -- all with one software release.

The release in question is MongoDB 3.0, which was announced on Tuesday as is expected to be generally available in March. The two biggest improvements in 3.0 are a pluggable storage-engine architecture aimed at eliminating long-standing performance constraints, and new Ops Manager on-premises software, aimed at making it easier for customers to deploy and manage MongoDB clusters.

MongoDB is hands-down the most popular NoSQL database on the market, with more than 9 million downloads of its open-source software and more than 2,000 customers of its support services and commercial software. The database owes its popularity to its ease of development, but the product's incumbent storage engine, MMAP, presents performance limitations. Despite MMAP performance upgrades in 3.0, including finer-grained locking controls for better write performance, the storage engine is still best suited to read-intensive applications, such as database lookups and analytic queries.

[ Want more on NoSQL? Read 16 NoSQL, NewSQL Databases To Watch. ]

MongoDB 3.0's new pluggable architecture addresses write-intensive applications, but that's just a start. The 3.0 release includes two new storage engine options. The first is WiredTiger, which was acquired (for an undisclosed sum) along with the company of the same name. WiredTiger supports write-intensive use-cases common in mobile, Internet-of-Things, smart-grid, log-file-analysis, and other modern applications.

"It has become incredibly inexpensive to create data with smart phones, messaging, smart grids, log files, and so on, and it's only natural that companies are trying to turn that information into money," said Kelly Stirman, MongoDB's director of products. "What these modern new apps have in common is that they're more write-intensive than read-intensive."

MongoDB is hoping that customers that previously switched to competitors, notably Cassandra, to handle these apps will now just switch to WiredTiger, which delivers seven to ten times better write performance than MMAP, according to Stirman. WiredTiger can also compress data up to 80%, which makes it a better choice than MMAP for archival applications.

The second new storage option in MongoDB 3.0 is called In-memory Experimental. As the name suggests, the engine is not recommended for production applications -- yet. At this stage the vendor is gathering customer feedback on low-latency use-cases such as ad serving, fraud detection, recommendation engines, and other use-cases demanding sub-millisecond response times.

MongoDB doesn't have formal release schedule for the in-memory technology. But depending on demand and the performance of the prototype, it could show up as early as the next point release, Stirman said.

Now that the pluggable architecture is available, MongoDB expects to make several more storage engines available. An HDFS engine, for one, could be used to store transactional data from the database to the Hadoop Distributed File System. Another possibility is supporting "mixed replica sets," an approach whereby multiple engines could be used simultaneously to support copies of data at different lifecycle stages. WiredTiger, for instance, could be used for transactional workloads, MMAP for analytics workloads, and WiredTiger (with compression) or an HDFS engine for low-cost archival needs.

Cluster monitoring is just one of the capabilities on-premises Ops Manager software has in common with the MongoDB Management Service.
Cluster monitoring is just one of the capabilities on-premises Ops Manager software has in common with the MongoDB Management Service.

MongoDB Ops Manager is new on-premises software based on the vendor's cloud-based MongoDB Management Service. Included exclusively with the vendor's commercial MongoDB Enterprise Advanced distribution, Ops Manager is all about automating and enforcing best-practice approaches to installing, upgrading, configuring, and maintaining MongoDB clusters.

"Even in a moderate-sized cluster with 10 nodes, Ops Manager saves the DBA a huge amount of time," said Stirman.

Instead of logging into each machine and carrying out multiple administrative step manually, Ops Manager lets DBAs log in once and click a button to carry out multiple tasks across
clusters. The software also integrates with third-party IT-management systems, such as AppDynamics, NewRelic, Tivoli, and Docker, so administrators can handle everything from their accustomed tools.

With Tuesdays announcement, all MongoDB 3.0 release-candidate software is available for download and testing. MongoDB will spend the next several weeks gathering customer feedback and doing quality-assurance tests before deeming the software generally available for production use sometime in March.

Attend Interop Las Vegas, the leading independent technology conference and expo series designed to inspire, inform, and connect the world's IT community. In 2015, look for all new programs, networking opportunities, and classes that will help you set your organization’s IT action plan. It happens April 27 to May 1. Register with Discount Code MPOIWK for $200 off Total Access & Conference Passes.

Doug Henschen is Executive Editor of InformationWeek, where he covers the intersection of enterprise applications with information management, business intelligence, big data and analytics. He previously served as editor in chief of Intelligent Enterprise, editor in chief of ... View Full Bio

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Comment  | 
Print  | 
More Insights
InformationWeek Is Getting an Upgrade!

Find out more about our plans to improve the look, functionality, and performance of the InformationWeek site in the coming months.

How SolarWinds Changed Cybersecurity Leadership's Priorities
Jessica Davis, Senior Editor, Enterprise Apps,  5/26/2021
How CIOs Can Advance Company Sustainability Goals
Lisa Morgan, Freelance Writer,  5/26/2021
IT Skills: Top 10 Programming Languages for 2021
Cynthia Harvey, Freelance Journalist, InformationWeek,  5/21/2021
White Papers
Register for InformationWeek Newsletters
Current Issue
Planning Your Digital Transformation Roadmap
Download this report to learn about the latest technologies and best practices or ensuring a successful transition from outdated business transformation tactics.
Flash Poll