Top 10 MongoDB Atlas Alternatives & Competitors

Top 10 Alternatives to MongoDB Atlas Recently Reviewed By G2 Community

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#1

Amazon DynamoDB
By Amazon Web Services (AWS)
(622)4.4 out of 5
Nonrelational database for applications that need performance at any scale
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
• Document Databases
Reviewers say compared to MongoDB Atlas, Amazon DynamoDB is:
More expensive
Easier to do business with
Easier to admin
See all Amazon DynamoDB reviews
#2

Google Cloud Firestore
By Google
(114)4.3 out of 5
Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
• Document Databases
Reviewers say compared to MongoDB Atlas, Google Cloud Firestore is:
Easier to admin
More expensive
Better at meeting requirements
See all Google Cloud Firestore reviews
#3

Azure Cosmos DB
By Microsoft
(110)4.4 out of 5
Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
• Document Databases
Reviewers say compared to MongoDB Atlas, Azure Cosmos DB is:
More expensive
See all Azure Cosmos DB reviews
#4

Amazon DocumentDB
By Amazon Web Services (AWS)
(69)4.4 out of 5
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
• Document Databases
Reviewers say compared to MongoDB Atlas, Amazon DocumentDB is:
More expensive
Easier to do business with
Better at support
See all Amazon DocumentDB reviews
#5

Amazon Relational Database Service (RDS)
By Amazon Web Services (AWS)
(1,038)4.5 out of 5
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
Reviewers say compared to MongoDB Atlas, Amazon Relational Database Service (RDS) is:
More expensive
Better at meeting requirements
Easier to do business with
See all Amazon Relational Database Service (RDS) reviews
#6

DigitalOcean
By DigitalOcean
(663)4.6 out of 5
DigitalOcean provides the best tools to control your virtual server in the cloud. Learn how we deliver the most intuitive interface and features so you can start building your web infrastructure today.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
Try for free
Reviewers say compared to MongoDB Atlas, DigitalOcean is:
Easier to admin
Easier to do business with
More usable
See all DigitalOcean reviews
#7

Amazon Aurora
By Amazon Web Services (AWS)
(487)4.5 out of 5
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
Reviewers say compared to MongoDB Atlas, Amazon Aurora is:
More expensive
Better at meeting requirements
Better at support
See all Amazon Aurora reviews
#8

Azure SQL Database
By Microsoft
(331)4.5 out of 5
Azure SQL Database is a relational database-as-a service using the Microsoft SQL Server Engine. SQL Database is a high-performance, reliable, and secure database you can use to build data-driven applications and websites in the programming language of your choice, without needing to manage infrastructure.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
Reviewers say compared to MongoDB Atlas, Azure SQL Database is:
More expensive
Better at meeting requirements
Slower to reach roi
See all Azure SQL Database reviews
#9

Google Cloud SQL
By Google
(354)4.5 out of 5
Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
Try for free
Reviewers say compared to MongoDB Atlas, Google Cloud SQL is:
More expensive
Easier to admin
Better at meeting requirements
See all Google Cloud SQL reviews
#10

Google Cloud BigTable
By Google
(68)4.6 out of 5
Google Cloud Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers.
Categories in common with MongoDB Atlas:
• Database as a Service (DBaaS)
Reviewers say compared to MongoDB Atlas, Google Cloud BigTable is:
Slower to reach roi
More expensive
Better at meeting requirements
See all Google Cloud BigTable reviews

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• Own your own software buying journey
• Discover exclusive deals on software

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