Azure Data Lake Storage vs. MongoDB
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Azure Data Lake Storage | Score9.7 out of 10 | N/A | Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads. | N/A |
 MongoDB | Score8.5 out of 10 | N/A | MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster. | $0.10 million reads |
| Azure Data Lake Storage | MongoDB | |||||||||||||||
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| Editions & Modules | No answers on this topic |
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| Offerings |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | Fully managed, global cloud database on AWS, Azure, and GCP | ||||||||||||||
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| NoSQL Databases |
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| Azure Data Lake Storage | MongoDB | |
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| Likelihood to Recommend | 8.2 | 10.0 |
| Likelihood to Renew | - | 10.0 |
| Usability | - | 10.0 |
| Availability | - | 9.0 |
| Support Rating | - | 9.6 |
| Implementation Rating | - | 8.4 |