MongoDB 3.3.9 is released

MongoDB
July 6, 2016 | Updated: July 7, 2016
#Releases #Company

MongoDB 3.3.9 has been released. As a reminder, 3.3.9 is a development release and is not intended for production use.

This version of MongoDB includes a preview of some of the new features coming in MongoDB 3.4 as announced by Eliot Horowitz at the MongoDB World 2016 Keynote:

Faceted search, via the $facet aggregation stage
Recursive lookup, via the $graphLookup aggregation operator

Other features and bug fixes in this release include:

SERVER-5905 Add data collection and command to get histogram of query response times
SERVER-9566 Add support for position independent executables
SERVER-18966 Allow exclusion in $project stage of aggregation pipeline
SERVER-23265 Consistent diagnostics for aggregate command
SERVER-23816 Add $sortByCount aggregation stage
SERVER-23836 add $count stage to aggregation
SERVER-24582 MongoDB secondary node crashes randomly when primary node is killed/dies
TOOLS-349 mongoimport may report incorrect number of imported documents
WT-2664 Change eviction so any eviction thread can find candidates
WT-2702 Under high thread load, WiredTiger exceeds cache size

All Issues | Download

As always, please let us know of any issues.

-- The MongoDB Team

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Getting Started With MongoDB Atlas for Cloud Manager Users

Jay Gordon is a Technical Account Manager with MongoDB and is available via our chat to discuss MongoDB Cloud Products at https://cloud.mongodb.com . MongoDB recently released our new Database as a Service (DBaaS) platform known as Atlas. MongoDB Atlas makes it easy to set up, operate, and scale your MongoDB deployments in the cloud. From high availability to scalability, security to disaster recovery – we’ve got you covered. As a Cloud Manager user, you may want to reduce your operational overhead and move to Atlas. No longer will you need to manage server hardware or your cloud instances. You only need to select your requirements from the Atlas configuration and begin working. Authentication configuration, SSL encryption as well as monitoring and backups are all managed by MongoDB. The very first step in this process for existing Cloud Manager users is signing up for a new group. Navigate your browser to https://cloud.mongodb.com and log in with your normal credentials, once you’ve done this you should return to your deployment page: Next step, we’ll click “Settings” and then “My Groups” on the left side of the page, we’ll find our existing Cloud Manager groups: As you see on the right side, there’s a green “Add Group” button. Go ahead and select this, you’ll be given options now to begin creating your MongoDB Atlas Group or another Cloud Manager Group. Today we’re going to work with Atlas. Click the “MongoDB Atlas" option: Our buddy the Automation Robot will begin the process of setting up your new Atlas group in a few seconds! Once the Automation Robot is done you’ve now entered Atlas! Welcome to your new Clusters Page: To start building your Atlas clusters, click the green button that says “Build a New Cluster.” If you have a promotional or coupon code, you can apply it by entering it in the bottom of the payment details form under “Coupon or Activation Code”. Click save at the bottom of the screen and you’re ready to start building something GIANT using MongoDB Atlas!

July 1, 2016

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Considering NoSQL? Let's Break Down Your Options

Non-relational alternatives to relational databases — usually referred to as NoSQL databases — have been rapidly gaining popularity over the past decade. In 2013, MongoDB published one of our most popular white papers, “Top 5 Considerations When Evaluating NoSQL Databases.” We have since updated that paper as the technology has evolved. MongoDB is now offering a major update, which adds two new issues organizations should include in their thinking: how a database handles data generated at the edge by mobile devices and how a database fits into a broader data platform that includes search and analytics. If you’re testing the waters of NoSQL databases, then you’re probably familiar with how they’re different from traditional relational databases. The list of things you already know about NoSQL probably looks something like this: They use a different data model and query language. They have dynamic schemas. They scale horizontally. Beyond those common features, there are significant differences among NoSQL databases. The seven areas of significant differences among your options are: Data model (document, graph, key-value, etc.) Query model Consistency and transactional model APIs Mobile data Data platform Commercial support, community strength, and lock-in From MongoDB’s point of view, the most important consideration is the data model. We popularized the document model , which supports a superset of all data models, making it useful for a wide variety of applications. Key features include the ability to index and query in any field, and the natural mapping of document data structures to objects in modern programming languages. Recent shifts in how modern applications are developed and deployed — and in the experiences they offer customers — highlight the two new considerations. Mobile use cases: Mobile applications introduce the added challenge of not always being connected to the network. Developers need a solution for keeping all their customers’ apps in sync with the back-end database, no matter where they are in the world and what kind of network connection they have. The solution also needs to scale easily and quickly as more users download an app, and support the cutting edge of mobile development technologies as they evolve. Data platform: MongoDB’s application data platform provides developers a unified interface to serve transactional and operational applications alongside search, real-time, and data lake application needs. It eliminates the overhead and friction of developers having to stitch together multiple discrete technologies into a complex architecture, each creating its own duplicated data silo — connected by fragile ETL pipelines — and accessed, secured, governed, and operationalized by different APIs and tools. For a deep dive into all the differences among NoSQL databases, download our white paper, “ Top 7 Considerations When Evaluating NoSQL Databases .”

August 2, 2021