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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 Snowflake, Redis, and Microsoft Azure Cosmos DB. The alternatives are sorted based on how often peers compare the solutions. MongoDB Atlas surpasses its competitors by offering a fully-managed cloud database service that features automatic scaling, built-in security, and global replication, ensuring optimal uptime and performance for businesses of all sizes.

MongoDB Alternatives Report

Learn what solutions real users are comparing with MongoDB, and compare use cases, valuable features, and pricing.
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Snowflake
4.2 out of 5
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Snowflake
4.2 out of 5

Organizations use Snowflake for data warehousing, migrating from on-premise to cloud storage. Its scalability integrates diverse data like IoT and financial services. Features include SQL computing, scalability for large datasets, and fast queries. Users request better cost transparency, data integration, and enhanced machine learning support for optimized analytics workflows.

Download MongoDB Atlas vs. Snowflake Report
Pricing can be confusing for customers.
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.
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Pricing
Pricing can be confusing for customers.
You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.
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Redis
4.4 out of 5
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Redis
4.4 out of 5
MongoDB Atlas offers scalability and advanced data management, appealing to those needing comprehensive deployment and integration features. In comparison, Redis excels in speed and real-time processing, ideal for applications prioritizing rapid data access and memory efficiency.
Download MongoDB Atlas vs. Redis Report
MongoDB Atlas has a minimal initial setup cost, whereas Redis requires a more significant upfront investment. This difference highlights how each service approaches cost structures and resource allocation for different business needs.
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Pricing
MongoDB Atlas has a minimal initial setup cost, whereas Redis requires a more significant upfront investment. This difference highlights how each service approaches cost structures and resource allocation for different business needs.
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MongoDB Atlas Logo
Microsoft Azure Cosmos DB
4.1 out of 5
Microsoft Azure Cosmos DB offers advanced global distribution, scalability, and seamless API transitions, ideal for integration with Microsoft's ecosystem. In comparison, MongoDB Atlas provides an intuitive NoSQL platform with robust data manipulation features, appealing to those needing flexible, cloud-native deployments.
Download Microsoft Azure Cosmos DB vs. MongoDB Atlas Report
Microsoft Azure Cosmos DB offers a more flexible setup cost structure, while MongoDB Atlas provides a straightforward initial pricing plan.
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Microsoft Azure Cosmos DB offers a more flexible setup cost structure, while MongoDB Atlas provides a straightforward initial pricing plan.
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Amazon RDS
4.2 out of 5
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Amazon RDS
4.2 out of 5
Amazon RDS offers deployment agility and robust features for databases needing high availability and microservices architecture without super-user privileges. In comparison, MongoDB Atlas provides a flexible, easy-to-use, schemaless solution suitable for dynamic data structures and non-relational data needs.
Download Amazon RDS vs. MongoDB Atlas Report
Amazon RDS has no significant setup costs, whereas MongoDB Atlas involves initial setup expenses.
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Amazon RDS has no significant setup costs, whereas MongoDB Atlas involves initial setup expenses.
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Microsoft Azure SQL Database
4.3 out of 5
Azure SQL Database offers seamless Microsoft integration and strong analytics, appealing to Windows-based enterprises. In comparison, MongoDB Atlas, with its flexible architecture and cost-effective model, suits businesses needing adaptable, schemaless databases and scalable, cloud-native solutions.
Download Microsoft Azure SQL Database vs. MongoDB Atlas Report
Microsoft Azure SQL Database offers competitive setup cost flexibility, while MongoDB Atlas provides ease of integration with slightly higher initial expenses. Both cater to different priorities, highlighting flexibility versus integration costs.
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Microsoft Azure SQL Database offers competitive setup cost flexibility, while MongoDB Atlas provides ease of integration with slightly higher initial expenses. Both cater to different priorities, highlighting flexibility versus integration costs.
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SingleStore
4.4 out of 5
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SingleStore
4.4 out of 5
MongoDB Atlas offers rapid scalability and easy maintenance, appealing with its rich query support and self-managing nature. In comparison, SingleStore stands out with in-memory storage and distributed architecture, ensuring seamless MySQL transition and high concurrency. Each has its unique strengths in deployment and pricing.
Download MongoDB Atlas vs. SingleStore Report
MongoDB Atlas has a straightforward setup cost making it accessible for quick deployment, while SingleStore offers a flexible pricing model potentially incurring higher initial setup expenses depending on specific configuration needs.
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MongoDB Atlas has a straightforward setup cost making it accessible for quick deployment, while SingleStore offers a flexible pricing model potentially incurring higher initial setup expenses depending on specific configuration needs.
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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 seamless integration within Google services, appealing for businesses in that ecosystem. In comparison, MongoDB Atlas provides flexibility and scalability across various cloud platforms, making it ideal for those seeking diverse data handling capabilities.
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Google Cloud SQL offers straightforward setup costs, contrasting with the relatively affordable initial setup of MongoDB Atlas.
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Google Cloud SQL offers straightforward setup costs, contrasting with the relatively affordable initial setup of MongoDB Atlas.
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Oracle Database as a Service
4.3 out of 5
Oracle Database as a Service excels in handling complex transactional workloads with its enterprise-level features. In comparison, MongoDB Atlas offers a flexible NoSQL platform ideal for rapid, dynamic deployments due to its ease of integration and scalable, cost-effective pricing model.
Download MongoDB Atlas vs. Oracle Database as a Service Report
Oracle Database as a Service setup costs are typically higher than MongoDB Atlas's, reflecting its robust capabilities and complex infrastructure. In contrast, MongoDB Atlas offers a more cost-effective setup with a focus on flexibility and ease of deployment.
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Pricing
Oracle Database as a Service setup costs are typically higher than MongoDB Atlas's, reflecting its robust capabilities and complex infrastructure. In contrast, MongoDB Atlas offers a more cost-effective setup with a focus on flexibility and ease of deployment.
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Google Cloud Spanner
4.6 out of 5
Google Cloud Spanner offers superior global scalability and consistency, ideal for large-scale applications. In comparison, MongoDB Atlas provides flexibility and user-friendly features, appealing to developers. Google Cloud Spanner's infrastructure suits enterprise needs, while MongoDB Atlas allows for adaptable and cost-effective solutions.
Download Google Cloud Spanner vs. MongoDB Atlas Report
Google Cloud Spanner has no upfront setup cost, focusing on full automation, while MongoDB Atlas offers a pay-as-you-go model with minor initiation expenses, highlighting key differences in initial financial commitments.
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Google Cloud Spanner has no upfront setup cost, focusing on full automation, while MongoDB Atlas offers a pay-as-you-go model with minor initiation expenses, highlighting key differences in initial financial commitments.
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Amazon DynamoDB
4.1 out of 5
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Amazon DynamoDB
4.1 out of 5
Amazon DynamoDB excels in performance and AWS integration, offering a scalable cost-effective solution for unstructured data. In comparison, MongoDB Atlas provides flexibility with its schemaless design, making it suitable for diverse data types and workloads. Each solution caters to distinct technology needs.
Download Amazon DynamoDB vs. MongoDB Atlas Report
Amazon DynamoDB features a cost-effective setup structure, while MongoDB Atlas may involve higher initial expenses; the main difference lies in DynamoDB's competitive pricing advantages versus Atlas's potentially greater upfront costs.
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Pricing
Amazon DynamoDB features a cost-effective setup structure, while MongoDB Atlas may involve higher initial expenses; the main difference lies in DynamoDB's competitive pricing advantages versus Atlas's potentially greater upfront costs.
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Oracle Exadata Cloud at Customer
3.9 out of 5
MongoDB Atlas attracts tech buyers with its flexible, scalable architecture ideal for handling varied data types efficiently. In comparison, Oracle Exadata Cloud at Customer offers robust, high-performance infrastructure, appealing to those needing reliability in traditional enterprise environments.
Download MongoDB Atlas vs. Oracle Exadata Cloud at Customer Report
MongoDB Atlas offers competitive setup costs, while Oracle Exadata Cloud at Customer presents a higher investment due to its extensive infrastructure capabilities.
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Pricing
MongoDB Atlas offers competitive setup costs, while Oracle Exadata Cloud at Customer presents a higher investment due to its extensive infrastructure capabilities.
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Amazon Neptune
4.3 out of 5
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Amazon Neptune
4.3 out of 5
MongoDB Atlas offers versatility with features like horizontal scalability and multi-cloud distribution, appealing to diverse use cases. In comparison, Amazon Neptune specializes in graph-based applications with advanced querying, making it ideal for users focused on graph databases and AWS integration.
Download Amazon Neptune vs. MongoDB Atlas Report
MongoDB Atlas offers a straightforward setup with no initial costs, making it appealing to startups, whereas Amazon Neptune requires a more complex setup with potentially higher upfront expenses, which may suit enterprises with specific graph database requirements.
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MongoDB Atlas offers a straightforward setup with no initial costs, making it appealing to startups, whereas Amazon Neptune requires a more complex setup with potentially higher upfront expenses, which may suit enterprises with specific graph database requirements.
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Amazon DocumentDB
4.1 out of 5
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Amazon DocumentDB
4.1 out of 5
MongoDB Atlas offers a dynamic, feature-rich platform ideal for flexible data needs. In comparison, Amazon DocumentDB excels at seamless AWS integration, providing predictable cost structures and simplicity in scalability for AWS-focused organizations. Both solutions cater to distinct cloud database requirements.
Download Amazon DocumentDB vs. MongoDB Atlas Report
MongoDB Atlas offers a straightforward setup with minimal initial costs, while Amazon DocumentDB requires a more complex setup with potentially higher upfront expenses. MongoDB Atlas provides scalability advantages, contrasting Amazon DocumentDB's emphasis on integration with other AWS ...
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MongoDB Atlas offers a straightforward setup with minimal initial costs, while Amazon DocumentDB requires a more complex setup with potentially higher upfront expenses. MongoDB Atlas provides scalability advantages, contrasting Amazon DocumentDB's emphasis on integration with other AWS ...
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MongoDB Atlas Logo
Google Cloud Firestore
4.2 out of 5
MongoDB Atlas offers robust scalability and flexibility, appealing to those who value intuitive tools and analytics. In comparison, Google Cloud Firestore's seamless Google Cloud integration and real-time synchronization attract users seeking efficient deployment and cost-effective, serverless architecture.
Download Google Cloud Firestore vs. MongoDB Atlas Report
MongoDB Atlas offers competitive setup costs advantageous for developers exploring scalable solutions, while Google Cloud Firestore provides straightforward setup pricing beneficial for projects prioritizing ease of implementation.
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MongoDB Atlas offers competitive setup costs advantageous for developers exploring scalable solutions, while Google Cloud Firestore provides straightforward setup pricing beneficial for projects prioritizing ease of implementation.
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Amazon Timestream
4.5 out of 5
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Amazon Timestream
4.5 out of 5
MongoDB Atlas offers a flexible data model and versatile use cases, making it ideal for diverse applications. In comparison, Amazon Timestream excels in time-series data handling, providing specialized features and seamless AWS integration, appealing to companies focused on time-series analysis.
Download Amazon Timestream vs. MongoDB Atlas Report
MongoDB Atlas offers flexible setup costs focused on scalable growth, while Amazon Timestream provides a straightforward pricing model geared towards time-series data efficiency, highlighting significant differences in initial investments for deployment and data storage strategies.
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MongoDB Atlas offers flexible setup costs focused on scalable growth, while Amazon Timestream provides a straightforward pricing model geared towards time-series data efficiency, highlighting significant differences in initial investments for deployment and data storage strategies.
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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 in scalability and broad support, appealing for versatile applications. In comparison, Neo4j AuraDB focuses on graph-based applications, efficiently managing complex relationships, making it ideal for graph-centric projects. MongoDB Atlas offers flexible schema support, while Neo4j AuraDB provides real-time analytics with native graph processing.
Download MongoDB Atlas vs. Neo4j AuraDB Report
MongoDB Atlas offers variable pricing depending on usage, while Neo4j AuraDB provides a more predictable cost structure with specific plans. Atlas might appeal to smaller projects with flexible needs, whereas AuraDB suits users preferring clear budgeting.
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MongoDB Atlas offers variable pricing depending on usage, while Neo4j AuraDB provides a more predictable cost structure with specific plans. Atlas might appeal to smaller projects with flexible needs, whereas AuraDB suits users preferring clear budgeting.
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Upstash
1 out of 5
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Upstash
1 out of 5
MongoDB Atlas offers automated scaling and integrated analytics, making it ideal for complex applications. In comparison, Upstash focuses on serverless architecture and low latency, appealing to projects prioritizing simplicity and quick deployment, with cost-effective pricing for budget-conscious teams seeking minimal management.
MongoDB Atlas has a comprehensive setup cost that may appeal to businesses with larger data needs, whereas Upstash offers a more straightforward setup cost, potentially catering to those looking for simpler, cost-effective solutions.
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MongoDB Atlas has a comprehensive setup cost that may appeal to businesses with larger data needs, whereas Upstash offers a more straightforward setup cost, potentially catering to those looking for simpler, cost-effective solutions.
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Couchbase Capella
3.8 out of 5
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Couchbase Capella
3.8 out of 5
MongoDB Atlas is preferred for its advanced scalability and extensive documentation. In comparison, Couchbase Capella's memory-first architecture and Full-Text Search attract tech buyers interested in real-time analytics. MongoDB Atlas offers flexible pricing, while Couchbase Capella promises long-term ROI with efficient performance.
Download Couchbase Capella vs. MongoDB Atlas Report
MongoDB Atlas features a straightforward setup cost, while Couchbase Capella provides a flexible pricing model, highlighting a clear distinction in initial cost structure between the two database platforms.
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MongoDB Atlas features a straightforward setup cost, while Couchbase Capella provides a flexible pricing model, highlighting a clear distinction in initial cost structure between the two database platforms.
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Yugabyte Platform
1 out of 5
MongoDB Atlas excels in cost-effective scalability, appealing to users seeking flexible, document-oriented solutions. In comparison, Yugabyte Platform offers robust features and strong consistency, ideal for transactional applications, providing significant ROI despite higher costs, catering to intensive transaction-based environments.
MongoDB Atlas features an affordable and straightforward setup process, while Yugabyte Platform offers a customizable configuration with potentially higher upfront costs, highlighting a key difference in initial expense and setup complexity.
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MongoDB Atlas features an affordable and straightforward setup process, while Yugabyte Platform offers a customizable configuration with potentially higher upfront costs, highlighting a key difference in initial expense and setup complexity.
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Imply Enterprise
4.0 out of 5
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Imply Enterprise
4.0 out of 5
MongoDB Atlas offers automated scaling and cross-cloud support, ideal for developers needing rapid deployment. In comparison, Imply Enterprise excels with advanced analytics and high-performance query speeds, appealing to enterprises requiring complex data insights. MongoDB Atlas is cost-effective, while Imply Enterprise ensures superior real-time analytics ROI.
MongoDB Atlas offers a straightforward setup process often cited as affordable, while Imply Enterprise is recognized for its higher setup costs, reflecting its comprehensive feature set. Each product provides distinct advantages tailored to varying business needs.
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MongoDB Atlas offers a straightforward setup process often cited as affordable, while Imply Enterprise is recognized for its higher setup costs, reflecting its comprehensive feature set. Each product provides distinct advantages tailored to varying business needs.
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IBM Cloudant
1 out of 5
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IBM Cloudant
1 out of 5
IBM Cloudant excels in scalability and offline sync, suiting mobile and web applications. In comparison, MongoDB Atlas attracts enterprises with advanced features, rich querying, and enhanced security. MongoDB Atlas provides a seamless deployment experience, whereas IBM Cloudant appeals with cost-effectiveness for budget-conscious organizations.
IBM Cloudant setup costs are competitive with minimal initial investment, while MongoDB Atlas requires moderate upfront expenses.
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IBM Cloudant setup costs are competitive with minimal initial investment, while MongoDB Atlas requires moderate upfront expenses.

Related categories

Database as a Service (DBaaS)
Managed NoSQL Databases
Database Management Systems (DBMS)