MongoDB 3.0.13 is released

MongoDB
November 2, 2016 | Updated: December 8, 2016
#Releases

MongoDB 3.0.13 is out and is ready for production deployment. This release contains only fixes since 3.0.12, and is a recommended upgrade for all 3.0 users.

Fixed in this release:

  • SERVER Add Debian 8 (Jessie) builds and associated package repository
  • SERVER On RHEL7/Centos7 mongod can't stop if pid location in conf differs from the init.d script
  • SERVER Database/Collection drop during initial sync can cause collmod to fail initial sync
  • SERVER Update to PCRE 8.39
  • SERVER Building 2dsphere index uses excessive memory
  • TOOLS No numeric version in --version output

3.0 Release Notes | All Issues | Downloads

As always, please let us know of any issues.

-- The MongoDB Team

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Announcing MongoDB 3.4

Today we are announcing MongoDB 3.4 , another milestone in our march to being the default database for modern applications. 3.4 makes MongoDB more flexible than ever, allowing developers to consolidate even more use cases into their MongoDB deployment, even as we continue to mature the platform and its ecosystem. MongoDB was created to make it easy for developers to work with their data, beginning with introducing the document model itself. Documents are the best rudimentary unit for a data store, because they let you represent any kind of data, and embody their structure however best suits your use case. Whether that means deep or shallow nesting (or no nesting), documents can handle it. The key is being able to add many types of queries and algorithms to the data. MongoDB 3.4 adds a stage to the aggregation pipeline that enables faceted search , greatly simplifying the query load for applications that browse and explore that data. It also adds operators to power graph queries . As we continue to add query features, users can consolidate more uses cases, instead of bloating their application footprint with a proliferation of specialized data stores. Just because it’s easy to work with data in MongoDB, it doesn’t mean we can’t make it easier. In 3.4, the aggregation pipeline continues to mature , with more operators and expressions, enhancing string handling, allowing more sophisticated use of array elements, testing fields for type, and support for branching. Financial calculations are made simple with the addition of a Decimal data type. I think it was John Donne who said: “No database is an island,” but whoever said it, they were very right. A database has to work as the heart of an ecosystem, and in 3.4, we continue to build that thriving ecosystem. Connecting MongoDB to the outside world is better than ever. MongoDB 3.4 introduces a ground-up rewrite of the BI connector , which improves performance, simplifies installation and configuration, and supports Windows. 3.4 also includes an update for our Apache Spark connector , with support for the Spark 2.0. We’ve also extended the platforms that MongoDB runs on, including ARM-64, and IBM’s POWER8 and zSeries platforms. MongoDB Compass is growing up with 3.4. It has new ways to depict data, such as the map view for geographic data, and it has become a data manipulation and performance tuning tool as well. In 3.4, Compass offers visual plan explanations, real-time stats, CRUD operations and index creation, so now you can identify, diagnose, and fix performance and data problems all from within Compass. Of course, MongoDB 3.4 is supported by our trifecta of enterprise-grade ops management platforms: Ops Manager , Cloud Manager , and MongoDB Atlas , each of which add new features with this release. Ops Manager, for example, has improved its monitoring with built in telemetry gathering tailored to each deployment platform, and now allows ops teams to create server pools to serve up database-as-a-service to internal teams. Atlas introduces Virtual Private Cloud (VPC) Peering, allowing teams to use convenient private IPs to talk to their MongoDB service from within their AWS VPC. There’s a ton more than I can fit into a blog post. That’s what release notes are for. But I shouldn’t leave out a few highlights, like: tunable consistency control for replica sets, including linearizable reads; collations for queries and indexes; and read-only views , which enable us to bring field level security to apps handling regulated data. We’re incredibly excited to ship MongoDB 3.4 to you, so it can help your data serve you, not the other way around. Our approach is to build a database that can handle any kind of data, and the capabilities to query that data however you need to. Learn more about MongoDB 3.4, register for our upcoming webinar: Find out what's new About the Author - Eliot Horowitz Eliot Horowitz is CTO and Co-Founder of MongoDB. Eliot is one of the core MongoDB kernel committers. Previously, he was Co-Founder and CTO of ShopWiki. Eliot developed the crawling and data extraction algorithm that is the core of its innovative technology. He has quickly become one of Silicon Alley's up and coming entrepreneurs and was selected as one of BusinessWeek's Top 25 Entrepreneurs Under Age 25 nationwide in 2006. Earlier, Eliot was a software developer in the R&D group at DoubleClick (acquired by Google for $3.1 billion). Eliot received a BS in Computer Science from Brown University.

November 1, 2016
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Data and the European Landscape: 3 Trends for 2022

The past two years have brought massive changes for IT leaders: large and complex cloud migrations; unprecedented numbers of people suddenly working, shopping and learning from home; and a burst in demand for digital-first experiences. Like everyone else, we are hoping that 2022 isn’t so disruptive (fingers crossed!), our customer conversations in Europe do lead us to believe the new year will bring new business priorities. We’re already noticing changes in conversations around vendor lock-in, thanks to the Digital Markets Act, a new enthusiasm for combining operational and analytical data to drive new insights faster, and a more strategic embrace of sustainability. Here’s how we see these trends playing out in 2022. Digital markets act draws new attention to cloud vendor lock-in in Europe We’ve heard plenty about the European Commission’s Digital Markets Act , which, in the name of ensuring fair and open digital markets, would place new restrictions on companies that are deemed to be digital “gatekeepers” in the region. That discussion will be nothing compared to the vigorous debate we expect once the EU begins the very tricky political business of determining exactly which companies will fall under the act. If the EU sets the bar for revenues, users, and market size high enough, it’s possible that the regulation will end up affecting only Facebook, Amazon, Google, Apple, and Microsoft. But a European group representing 2,500 CIOs and almost 700 organizations is now pushing to have the regulation encompass more software companies. Their main concern centers around “distorted competition” in cloud infrastructure services and a worry that companies are being locked into one cloud vendor. A trend that will likely increase in 2022 that pushes back on cloud vendor lock-in is embracing multi-cloud strategies. We should expect to see more organisations in the region pursuing multi-cloud environments as a means to improve business continuity and agility whilst being able to access best of breed services from each cloud provider. As we have always said …”it’s fine to date your cloud provider….but don’t ever marry them.” The convergence of operational and analytical data The processing of operational and analytical data is almost always contained in different data systems, each tuned to that use case and managed by separate teams. But because that data lives in separate places, it’s almost impossible for organisations to generate insights and automate actions in real time, against live data. We believe 2022 is the year we’ll see a critical mass of companies in the region make significant progress toward a convergence of their operational and analytical data. We’re already starting to see some of the principles of microservices in operational applications, such as domain ownership, be applied to analytics as well. We’re hearing about this from so many of our customers locally, who are looking at MongoDB as an application data platform that allows them to perform queries across both real-time and historical data, using a unified platform and a single query API. This results in the applications they are building becoming more intelligent and contextual to their users, while avoiding dependencies on centralized analytics teams that otherwise slow down how quickly new, data-driven experiences can be released. Sustainability drives local strategic IT choice Technology always has some environmental cost. Sometimes that’s obvious — such as the energy needs and emissions associated with Bitcoin mining. More often, though, the environmental costs are well hidden. The European Green Deal commits the European Union to reducing emissions by 55% by 2030, with a focus on sustainable industry. With the U.N. Climate Change Conference (COP26) recently completed in Glasgow, and coming off the hottest European summer on record, climate issues have become top of mind. That means our customers are increasingly looking to make their technical operations more sustainable — including in their choice of cloud provider and data centers. According to research from IDC , more than 20% of CxOs say that sustainability is now important in selecting a strategic cloud service provider, and some 29% of CxOs are including sustainability into their RFPs for cloud services. Most interesting, 26% say they are willing to switch to providers with better sustainability credentials. Historically, it’s been difficult to make a switch like that. That’s part of the reason we built MongoDB Atlas — to give our customers the flexibility to run in any region , with any of the three largest cloud providers, and to make it easy to switch between them, and even to run a single database cluster across them. Publicly available information about the footprint of individual regions and even single data centers will make it simpler for companies to make informed decisions. Already, at least one cloud platform has added indicators to regions with the lowest carbon footprint. Source: IDC, European Customers Engage Services Providers at All Stages of Their Cloud Journey, IDC Survey Spotlight, Doc #EUR248484021, Dec 2021

December 21, 2021