Update on supported hosting options:
- Dreamhost is now offering instant configuration and deployment of MongoDB to DreamHost PS customers
- Webfaction and Linode have recently published instructions for installing MongoDB on their respective systems
Check out the Hosting Center for more details. If you’re interested in support from other hosting providers, please let us know which ones you’d like to see in the comments.
There are now three separate categories of DBMS: relational, business intelligence, and NoSQL
We can't know where we're going unless we know where we're from. In that spirit, here's our take on the still-ongoing evolution of the database software space. There used to be two main categories of database management systems (DBMS). One was the classic operational relational database management system like Oracle or the open source MySQL. The other was the business intelligence database space. Products in this category are SQL, but the difference is that they're for data warehousing and support - they're not designed to be real time operational stores. Think of offline, background data processing and mining with decision support and intelligence. Examples that come to mind are Vertica, Aster Data, Greenplum, and Netezza. In this business intelligence database bucket, we’d also include technologies like Hadoop, that are more data processing than storage but directly adjacent to DBMS. That was the old world. It's safe to say in 2010 that the first bucket, operational databases, has split in two, creating three separate categories of DBMS. It's not going to be just all Oracle and MySQL. Some use cases will still be, but we’d bet at least half of the operational use cases are going to end up on the new breed of solutions called NoSQL in the next couple years. The advantages of NoSQL databases are no secret at this point - high horizontal scalability (crucial in a time when cloud computing is becoming immensely popular), performance, and ease of assembly for developers working with agile techniques and object-oriented programming languages. Forward-looking organizations will have to come to terms with this disruption in the DBMS market. As more and more data subsystems require the unique benefits that NoSQL offers, more developers and businesses will jump on the bandwagon. MongoDB has started to set this trend with users like SourceForge, GitHub, the New York Times and Electronic Arts. A possible analogy is the move from procedural to object-oriented programming. You won't want to be the last person to write a web app using NoSQL, just as 20 years ago, you didn't want to be the last person to pick up object-oriented programming. http://www.10gen.com/ Tagged with: nosql, database, business intelligence
What’s New in Atlas Charts: Easy Organization-Wide Sharing
We’re excited to announce improvements to sharing dashboards in MongoDB Atlas Charts . Data visualization is a powerful tool for discovering insights, and sharing visualizations across your team helps amplify those insights to propel businesses forward. With organization-wide sharing in Atlas Charts, we’re making it even easier to share the insights you discover from your application data across your entire organization. Sharing dashboards Atlas Charts has always made it possible to share visualizations with either individual members or everyone inside your Atlas project. Assuming a user had access to a given data source in Atlas, adding a user to a Charts project was effectively a one-click process. However, many teams do not broadly share database access unless an individual specifically needs it. And, if you want to share data with many members of your team, provisioning users one by one is tedious. Once users are in a Charts project, however, sharing a dashboard with everyone inside the project becomes relatively easy — you can invite all users in your project to view your dashboard with a single action. There are probably scenarios in which some members of your organization have Atlas access and others do not. In this case, if your team has enabled Federated Authentication and uses a third-party authentication provider, such as Google or Okta, Charts now makes it simple to turn on sharing dashboards across your entire organization. Granting access This approach makes sharing company-wide information quick and easy. For example, you can keep employees aware of product or platform growth or other key business metrics. Any members of your organization can be granted access to view these dashboards with a single click, as shown in Figure 1. Figure 1: A look at a dashboard shared across an organization. Note that, with these changes to dashboard sharing, your ability to maintain the security of your data remains unchanged. New dashboard viewers still need at least viewer access to any data source behind the charts in a shared dashboard, thereby ensuring that your company's sensitive data remains private. Additionally, project owners can now manage data source access at a deployment level, which means they can give access to their clusters or federated database instances . This capability is in addition to the already available granular control of data source access at a collection level, which was introduced as part of recent improvements we made to data sources. You can read more about managing access to data sources in your organization in our documentation . We hope you find these sharing improvements valuable and start leveraging this capability to share additional insights across your organization. New to Atlas Charts? Get started today by logging into or signing up for MongoDB Atlas , deploying or selecting a cluster, and activating Charts for free.