Get More Out of Your Data
MongoDB Atlas offers native tools to extend your data without the need to replicate or move it to other platforms or services.
Data Explorer
Run queries, view metadata about your collections, monitor index usage, and interact with your data with full CRUD functionality within the Atlas Collections tab
Atlas Search
Use Atlas Search to build fast, relevant, full-text search capabilities on top of your data with no additional infrastructure or systems to manage.
Atlas Data Lake
With Atlas Data Lake you can query and analyze data across S3 and Atlas in-place and in its native format using the MongoDB Query Language (MQL) and tools.
Atlas Charts
Create custom charts and dashboards with Atlas Charts, the native data visualization tool built for MongoDB’s rich document data model.
Atlas SQL Interface
MongoDB’s Atlas SQL Interface, Connectors, and Drivers make it easy to natively query and visualize Atlas data with SQL-based analytics tools while preserving the flexibility of the document model.
Charts will enable our marketing and business team to gain insights from our database, without resorting to sophisticated and expensive BI tools. There’s no doubt in my mind that moving to MongoDB Atlas has increased our team’s productivity.
Nicolae Gudumac, CTO, Planable
We’re looking into Hadoop, Spark, and Tableau for a few of our clients. MongoDB’s native connectors for Hadoop, Spark, and BI platforms come in handy for those projects.
James Mullaney, Lead Developer, HT2 LabsCharts will enable our marketing and business team to gain insights from our database, without resorting to sophisticated and expensive BI tools. There’s no doubt in my mind that moving to MongoDB Atlas has increased our team’s productivity.
Nicolae Gudumac, CTO, PlanableWe’re looking into Hadoop, Spark, and Tableau for a few of our clients. MongoDB’s native connectors for Hadoop, Spark, and BI platforms come in handy for those projects.
James Mullaney, Lead Developer, HT2 Labs
MongoDB Atlas also helps with its seamless integration with AWS. Currently, we’re using Amazon Redshift as a primary pipeline from outside third-party data sources that use SQL to extract details from our data. We can process this data on our servers and then store it in MongoDB to be referenced for future use.
Oren Zamir, CTO, CaliberMindBuild Real-Time Applications
MongoDB Atlas makes it easy to build modern, responsive applications with database triggers. React to database changes and authentication events as they happen.
-znm4q9jlmw.svg)
Auto-Fill User Profiles
When a new user signs up with an authentication provider like Google or Facebook, create a new document in the database that auto-populates with their name, email, profile photo, and other account information.
Schedule Physical Work
When sensor data from an IoT device indicates that inventory levels have fallen below a certain threshold or an appliance is malfunctioning, trigger a downstream system to schedule a restocking or maintenance event.
Monitor App Activity
When a user’s account activity appears suspicious, such as too many failed login attempts or declined credit card information, send a text or email notification to alert the user and have them review the actions in question.
Build Multi-Platform Applications
Atlas App Services makes it easy to build best-in-class apps across Android, iOS, and web using our intuitive app development services.
Use a Mobile-First Database
Try our fast-to-learn, offline-first database. Build cross-platform apps using Realm's open source database used by 100k+ mobile developers and counting.
Try the Realm database →
Sync Data Effortlessly
Stop worrying about network availability and start syncing data from the edge-to-the-cloud. Sync data across users, devices, and your backend in real-time.
Show me Atlas Device Sync →
Build Great Apps Faster
Build innovative features users want, rather than focusing on backend code. Use Realm’s services like functions, triggers, and GraphQL to build your modern apps.
See more Realm Services →