Atlas Data Lake (Preview)
Data Lake.
Experience optimized, cost-effective analytics.
Automatically extract and optimize data into a fully managed data lake store to isolate analytical workloads and perform large-scale analytics.
Atlas Data Lake is a fully managed storage solution that is optimized for analytical queries while maintaining the economics of cloud object storage. Because it enhances the data on ingestion and rebalances it as needed, Data Lake delivers unparalleled performance and unlimited scalability.
- Automated data extraction from Atlas Clusters
- Optimal format for analytics workloads
- Fully integrated into MongoDB Atlas
Data lake store optimized for analytical queries
As data is ingested, Atlas Data Lake reformats, creates partition indexes, and partitions data, creating an isolated workload ready to support large and complex queries without impacting your production application.
Cost-effective storage foundation for analytics
Atlas Data Lake storage delivers economical cloud object storage, dramatically reducing the cost of storing large-scale data. Additionally, Data Lake is optimized for analytical querying, resulting in less compute power and shorter running queries, saving time and money.
Fully integrated with MongoDB Atlas
Data Lake is fully managed and integrated into the MongoDB application data platform. It can be provisioned alongside your Atlas Database with no infrastructure to set up or manage and no storage capacity to predict, making the user experience, administration, and support elements painless.Get the most out of Atlas
Power more data-driven experiences and insights with the rest of our developer data platform.
Get started with Atlas Data Lake today
Try Atlas Data Lake preview today by creating a data lake alongside your operational Atlas database in a few clicks.
ATLAS DATA LAKE OFFERS:
- Analytical workload isolation
- Automated data ingestion
- Optimized data structures
- Cost-effective storage