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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.
Fully-managed storage solution
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 for your business partners (i.e. data scientists & business analysts).
Data lake store optimized for analytical queries
Atlas Data Lake takes snapshots of your Atlas cluster, so you can easily analyze data over time. 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 data 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 managed and integrated with MongoDB Atlas
Data Lake is fully managed and integrated into the MongoDB developer 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.
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- Analytical workload isolation
- Automated data ingestion
- Optimized data structures
- Cost-effective storage