Avinash Prasad

4 results

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.

December 5, 2022

Atlas Charts Adds Support for Serverless and Online Archive Data Sources

We recently introduced streamlined data sources in Atlas Charts, which eliminates the manual steps involved with adding data sources into Charts. With MongoDB Atlas project data automatically available in Charts, your visualization workflow can become quicker and simpler than ever. With this feature, Atlas Charts users can now visualize two new sources of data: Serverless instances and Atlas cluster data that’s been archived using MongoDB Atlas Online Archive . For those unfamiliar with these data sources, here’s a quick summary: A serverless instance is an Atlas deployment model that lets you seamlessly scale usage based on workload demand and ensures you are only charged for resources you need. Online Archive enables automated data tiering of Atlas data, helping you scale your storage and optimize costs while keeping data accessible. Use cases These data sources serve two distinct use cases, based on your needs. So, whether you are trying to eliminate upfront resource provisioning using a serverless instance or creating archives of your high-volume workloads, such as time-series or log data to reduce costs with Online Archive, Charts makes these sources natively available for visualization with zero ETL, just as it always has with your other Atlas clusters. To learn how easy it is to visualize these new data sources, let’s create a serverless database called “ServerlessInstance0” and separately activate Online Archive on a database called “Cluster0” that will run daily in Atlas (Figure 1). Figure 1: Screenshot showing a serverless database deployed in MongDB Atlas. When setting up an Online Archive, Atlas creates two instances of your data (Figure 2). One instance includes only your archived data. The second instance contains your archive data and your live cluster data. This setup gives you additional flexibility to query data as your use case demands. Figure 2: Screenshot showing Online Archive instances in Atlas. Moving on to the Data Sources page in Charts (Figure 3), all of the data sources are shown, including serverless instances and Atlas cluster data archived in Online Archive, neatly categorized based on the instance type and ready for use in charts and dashboards. (Note that project owners maintain full control of these data sources.) For more details about connecting and disconnecting data sources, review our documentation . Figure 3: Screenshot showing Serverless and Online Archive data sources in Atlas Charts. With these additions, Charts now supports all the cluster configurations you can create in Atlas, and we are excited to see how you achieve your visualization goals using these new data sources. 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.

October 27, 2022

Dashboard Embedding Comes to Charts

Atlas Charts is the native data visualization that lets you create, share, and embed charts from data in MongoDB Atlas. Today, we are happy to announce the release of Dashboard Embedding . What is an embedded dashboard? Embedding provides the ability to bring charts and dashboards into any webpage or application where your users spend time. It’s a great way to share dynamic, live visualizations with a wide audience. We see customers using embedded charts to share real-time information internally within their companies, as well as externally with their customers. Until now, embedding multiple charts where you need them has been time consuming and somewhat complex. With dashboard embedding , rather than individually embedding one chart at a time, you can embed a full dashboard in one go! Embedding charts and dashboards is easy to use and provides the flexibility you need when it comes to visual customizations and data security. This ensures you are able to freely share information and have it look the way you want, while always keeping data secure. How does Dashboard Embedding work in Atlas Charts? Enabling Dashboard Embedding is as simple as picking a dashboard, going into the Embed menu, and enabling either authenticated or unauthenticated embedding as shown below. The Dashboard Embedding Menu Similar to embedding an individual chart, you can publicly embed a URL in an iFrame of your application or website. Unauthenticated embedding allows you to embed your dashboards, and have visualizations immediately ready for public consumption. Alternatively, you can use our embedding SDK to implement authenticated embedding. Authenticated embedding provides more control and security, requiring users to have appropriate permission to access your dashboard. We support Google, Realm and Custom JSON Web Token authentication options . Charts offers a number of configuration options important to ensuring your embedded dashboards look and feel how you want. These options include support for dark mode, background color selection, chart sizing, and refresh rate cadence. Dashboards can even be set to resize responsively based on your screen size, ensuring a consistent user experience. Play around with dashboard embedding and some of these features in our code sandbox . An embedded dashboard in dark mode Get started today! Dashboard Embedding was one of our most frequently requested features in Atlas Charts and we are excited to see how you take advantage of it in your applications! Head over to any of your dashboards in Charts to enable dashboard embedding or take a look at Github to get started with the embedding SDK. 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.

March 24, 2022

Uncover hidden truths with Interactive Filtering

Atlas Charts has been updated with greater dashboard interactivity! With Interactive Filtering, users can click on charts to highlight and filter their dashboard data to their heart’s content. Interactive dashboards support better decision making Data visualisations are meant to be more than just a pretty collection of charts. They are a valuable decision making tool. At MongoDB, we believe that users should not only be able to manipulate their data but explore the significance of data changes in their dashboards to aid in making faster decisions. Last year, we added the ability to interact with charts and dashboards using Dashboard Filtering . This year, we are taking it to the next level. We are very excited to release ‘Interactive Filtering’, allowing users to interact with a particular chart to filter data in other charts. How does Interactive Filtering work? So let’s use an example to understand how this feature works: We have built a dashboard with multiple charts using the ‘Movies’ sample data source and added dashboard filters for the ‘languages’ and ‘rated’ fields. Previously, you could only interact with these filters by checking or unchecking options in the filter pane. While that option remains available, Interactive Filtering allows you to explore your data directly from the charts. So when you click on chart elements, such as bars, category labels or legend entries, it is a faster way to filter your dashboard. Chart elements are clickable if they are built with fields that are linked to dashboard filters. When filter fields are used on a chart’s category channels, we now highlight the requested data point but continue to show the other chart data, making it easy to see how the values compare. Looking at the dashboard below, if you want to know how many Spanish movies are released or the average metacritic score of Spanish movies, then you can highlight ‘Spanish’ by clicking the ‘Spanish’ bar or the ‘Spanish’ label in the ‘Movies by Language’ chart. The other charts in the dashboard get filtered to show only data based on the Spanish language. You can also use the ‘languages’ dashboard filter to achieve the same result. Interact by clicking directly in your dashboard Interact by modifying your dashboard filters How do you know what Charts are highlighted vs filtered? We now show a handy filter and highlight icon to indicate whether a chart is being filtered, highlighted, or both. What if you want to go back to the previous state before you started clicking? Simple, just click anywhere on the empty area of a chart and the changes are rolled back. If you were to use the dashboard filter pane to highlight or filter the dashboards, we save the state. Think of the dashboard filter pane changes as a persistent state and click changes on a chart as a temporary state. Depending on the dashboard filters selected, you also have the option to make a chart in the dashboard filter or highlight, filter only or ignore the dashboard filters completely. Try Interactive Filtering today With ‘Interactive Filtering’ the possibilities to manipulate and explore your data are limitless. Try the new highlighting functionality today by creating dashboard filters for your key fields and uncover the hidden answers in your data. New to Charts? You can start now for free by signing up for MongoDB Atlas , deploying a free tier cluster and activating Charts. Have an idea on how we can make MongoDB Charts better? Feel free to leave an idea at the MongoDB Feedback Engine .

December 9, 2021