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Top 10 MongoDB Atlas Alternatives

Vendor: MongoDB
4.2 out of 5
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Top MongoDB Atlas Competitors

Discover the top alternatives and competitors to MongoDB Atlas based on the interviews we conducted with its users. The top alternative solutions include Amazon RDS, Microsoft Azure SQL Database, and Google Cloud SQL. The alternatives are sorted based on how often peers compare the solutions.

MongoDB Atlas surpasses its competitors by offering an intuitive interface for scalable, multi-cloud deployments, built-in security features, and advanced data management tools, delivering unparalleled flexibility and efficiency for modern application development.

MongoDB Alternatives Report

Learn what solutions real users are comparing with MongoDB, and compare use cases, valuable features, and pricing.
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Amazon RDS
4.1 out of 5
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Amazon RDS
4.1 out of 5
Amazon RDS is preferred for its integration with AWS and cost-effectiveness. In comparison, MongoDB Atlas is chosen for its versatile querying and flexibility. Amazon RDS offers easy deployment and scalability; in contrast, MongoDB Atlas excels in automation and sharding features.
Download Amazon RDS vs. MongoDB Atlas Report
Amazon RDS setup costs are competitive and scalable, while MongoDB Atlas provides flexibility and ease of use with potentially higher initial expenses.
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Amazon RDS setup costs are competitive and scalable, while MongoDB Atlas provides flexibility and ease of use with potentially higher initial expenses.
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MongoDB Atlas Logo
Microsoft Azure SQL Database
4.3 out of 5
Microsoft Azure SQL Database excels in integration with Azure services and offers strong security features. In comparison, MongoDB Atlas provides flexibility in schema design and high scalability. A tech buyer might choose Microsoft Azure SQL Database for robust integration or MongoDB Atlas for advanced scalability and flexibility.
Download Microsoft Azure SQL Database vs. MongoDB Atlas Report
Microsoft Azure SQL Database has a higher setup cost compared to MongoDB Atlas which offers a more cost-effective setup.
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Microsoft Azure SQL Database has a higher setup cost compared to MongoDB Atlas which offers a more cost-effective setup.
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Google Cloud SQL
4.1 out of 5
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Google Cloud SQL
4.1 out of 5
Google Cloud SQL offers strong integration with Google Cloud services and transactional support, ideal for businesses in the Google ecosystem. In comparison, MongoDB Atlas provides flexible scalability and adaptive schema design, making it suitable for data-heavy applications requiring unstructured data handling.
Download Google Cloud SQL vs. MongoDB Atlas Report
Google Cloud SQL offers lower initial setup costs, while MongoDB Atlas has higher initial setup fees, highlighting a significant difference in the starting expenses for users.
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Google Cloud SQL offers lower initial setup costs, while MongoDB Atlas has higher initial setup fees, highlighting a significant difference in the starting expenses for users.
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MongoDB Atlas Logo
Microsoft Azure Cosmos DB
4.1 out of 5
Azure Cosmos DB offers robust scalability and global distribution features, with challenges in integration. In comparison, MongoDB Atlas provides elasticity and lower costs, though users seek better large dataset query performance. Both excel in deployment, with Azure noted for consumption-based pricing and MongoDB for predictability.
Download Microsoft Azure Cosmos DB vs. MongoDB Atlas Report
Microsoft Azure Cosmos DB offers a flexible setup with transparent cost structures, while MongoDB Atlas provides a more straightforward setup process but with variable pricing. The two differ mainly in their setup approaches and pricing models.
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Microsoft Azure Cosmos DB offers a flexible setup with transparent cost structures, while MongoDB Atlas provides a more straightforward setup process but with variable pricing. The two differ mainly in their setup approaches and pricing models.
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Oracle Database as a Service
4.3 out of 5
Oracle Database as a Service offers robust data management with automated backups and enterprise support. In comparison, MongoDB Atlas provides flexibility and scalability for diverse data types. While Oracle offers advanced features, MongoDB Atlas is known for its ease of deployment and competitive pricing.
Download MongoDB Atlas vs. Oracle Database as a Service Report
Oracle Database as a Service requires significant initial costs, while MongoDB Atlas offers a more cost-effective setup.
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Oracle Database as a Service requires significant initial costs, while MongoDB Atlas offers a more cost-effective setup.
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Amazon DocumentDB
4.2 out of 5
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Amazon DocumentDB
4.2 out of 5
MongoDB Atlas excels with flexible schema options and comprehensive support. In comparison, Amazon DocumentDB integrates seamlessly within AWS for high durability. Tech buyers may prefer Atlas for its flexibility or choose DocumentDB for advanced features and AWS resource integration.
Download Amazon DocumentDB vs. MongoDB Atlas Report
MongoDB Atlas boasts a low setup cost, attracting those seeking budget-friendly options, while Amazon DocumentDB showcases a slightly higher setup expense, targeting users who prioritize robust features and scalability over initial investment.
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MongoDB Atlas boasts a low setup cost, attracting those seeking budget-friendly options, while Amazon DocumentDB showcases a slightly higher setup expense, targeting users who prioritize robust features and scalability over initial investment.
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MongoDB Atlas Logo
Google Cloud Spanner
4.5 out of 5
Google Cloud Spanner excels in performance and scalability, making it ideal for large-scale applications. In comparison, MongoDB Atlas offers flexibility and ease of use, appealing to developers. Google Cloud Spanner's high availability contrasts with MongoDB Atlas's schema design and multi-cloud support. Pricing models differ, with Google Cloud Spanner being more expensive but offering high ROI, while MongoDB Atlas provides a cost-effective, flexible solution.
Download Google Cloud Spanner vs. MongoDB Atlas Report
Google Cloud Spanner offers a transparent setup cost structure, while MongoDB Atlas has a more variable pricing dependent on deployment configurations.
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Google Cloud Spanner offers a transparent setup cost structure, while MongoDB Atlas has a more variable pricing dependent on deployment configurations.
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Oracle Exadata Cloud at Customer
4.0 out of 5
MongoDB Atlas is valued for its scalability and flexibility, offering ease of deployment and cost-effectiveness with a pay-as-you-go model. In comparison, Oracle Exadata Cloud at Customer delivers superior performance, reliability, and enterprise-level features, though it requires a more complex setup and higher initial costs.
Download MongoDB Atlas vs. Oracle Exadata Cloud at Customer Report
MongoDB Atlas offers a flexible setup costing structure, while Oracle Exadata Cloud at Customer generally involves higher initial setup costs and more complex configuration.
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MongoDB Atlas offers a flexible setup costing structure, while Oracle Exadata Cloud at Customer generally involves higher initial setup costs and more complex configuration.
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Neo4j AuraDB
4.3 out of 5
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Neo4j AuraDB
4.3 out of 5
MongoDB Atlas excels with flexible handling of large, unstructured datasets. In comparison, Neo4j AuraDB specializes in advanced graph database functionalities. Buyers may choose MongoDB for general-purpose use, while Neo4j is ideal for complex interconnections requiring graph-specific capabilities.
Download MongoDB Atlas vs. Neo4j AuraDB Report
MongoDB Atlas offers a straightforward setup with minimal initial costs, while Neo4j AuraDB includes a more detailed setup process that can be costlier at the start. MongoDB Atlas is generally more affordable upfront compared to Neo4j AuraDB.
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MongoDB Atlas offers a straightforward setup with minimal initial costs, while Neo4j AuraDB includes a more detailed setup process that can be costlier at the start. MongoDB Atlas is generally more affordable upfront compared to Neo4j AuraDB.
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Yugabyte Platform
1 out of 5

For enterprises that want to use YugabyteDB in cloud-native environments at scale, Yugabyte Platform is an offering that delivers a streamlined operational experience, as well as comprehensive support and services.

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Upstash
1 out of 5
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Upstash
1 out of 5
Users utilize Upstash for managing distributed caching and queuing in serverless environments. Favored for Redis protocol support, low latency, and scalability, it offers easy integration, cost-effectiveness, and managed services. Highlights include serverless simplicity, high scalability, cloud integration, automatic scaling, and Redis compatibility. Some users suggest better scalability, performance, comprehensive documentation, faster support, and pricing adjustments.
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Imply
4.0 out of 5
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Imply
4.0 out of 5
MongoDB Atlas offers ease of use and flexible pricing for cloud database management. In comparison, Imply excels in real-time analytics and powerful visualization tools, making it ideal for users requiring advanced analytics capabilities and high performance despite higher setup costs.
MongoDB Atlas offers a cost-effective setup with scalable pricing, while Imply requires higher initial outlay but emphasizes comprehensive features. MongoDB Atlas is ideal for projects prioritizing cost efficiency, whereas Imply suits businesses focused on feature richness.
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Pricing
MongoDB Atlas offers a cost-effective setup with scalable pricing, while Imply requires higher initial outlay but emphasizes comprehensive features. MongoDB Atlas is ideal for projects prioritizing cost efficiency, whereas Imply suits businesses focused on feature richness.
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IBM Cloudant
1 out of 5
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IBM Cloudant
1 out of 5

IBM Cloudant is a managed NoSQL JSON database service built to ensure that the flow of data between an application and its database remains uninterrupted and highly performant. Developers are then free to build more, grow more and sleep more.

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Database as a Service (DBaaS)
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