--- description: Get detailed information about MongoDB and how it can help you meet your business needs. Learn more about MongoDB price, benefits, and disadvantages for businesses in Singapore. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: MongoDB Pricing, Cost & Reviews - Capterra Singapore 2026 --- Breadcrumb: [Home](/) > [Big Data Software](/directory/30851/big-data/software) > [MongoDB](/software/127374/mongodb) # MongoDB Canonical: https://www.capterra.com.sg/software/127374/mongodb Page: 1 / 20\ Next: [Next page](https://www.capterra.com.sg/software/127374/mongodb?page=2) > AI demands adaptability. MongoDB offers flexible, scalable, AI-ready data solutions, eliminating friction and accelerating innovation. > > Verdict: Rated **4.7/5** by 472 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses MongoDB? MongoDB serves a wide range of businesses across industries like financial services, healthcare, retail, gaming, manufacturing, and telecom, including startups, enterprises, and the public sector. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.7/5** | 472 Reviews | | Ease of Use | 4.4/5 | Based on overall reviews | | Customer Support | 4.3/5 | Based on overall reviews | | Value for Money | 4.6/5 | Based on overall reviews | | Features | 4.6/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 Likelihood to recommend) | ## About the vendor - **Company**: MongoDB - **Founded**: 2007 ## Commercial Context - **Pricing model**: Flat Rate (Free version available) - **Pricing Details**: MongoDB offers three main pricing plans for its Atlas cloud service (Free, Flex, Dedicated) with detailed pricing values and features. The Enterprise Advanced plan is self-managed with custom pricing. A free version is available via the Atlas Free Tier and Community Edition. Pricing is in USD, and payment is hourly with monthly invoices. For Enterprise Advanced, pricing details require contacting sales. - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise) - **Supported Languages**: English, French, German, Italian, Portuguese - **Available Countries**: Canada, France, Germany, Italy, Portugal, United Kingdom, United States ## Features - API - Access Controls/Permissions - Alerts/Notifications - Audit Management - Backup and Recovery - Compliance Management - Dashboard - Data Capture and Transfer - Data Discovery - Data Migration - Data Replication - Data Retrieval - Data Security - Data Storage Management - Data Visualization - Data Warehousing - Database Conversion - Database Support - Deployment Management - Disaster Recovery - Document Database - Graphical User Interface - High Volume Processing - Information Governance - Integrations Management - Multiple Programming Languages Supported - Performance Monitoring - Reporting/Analytics - Search/Filter - Secure Data Storage - Third-Party Integrations - Visual Analytics - Visual Modeling ## Integrations (8 total) - IBM Cognos Analytics - MicroStrategy Analytics - Microsoft Excel - Microsoft Power BI - Qlik Sense - SAP BusinessObjects Business Intelligence - Spotfire - Tableau ## Support Options - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat ## Category - [Big Data Software](https://www.capterra.com.sg/directory/30851/big-data/software) ## Related Categories - [Big Data Software](https://www.capterra.com.sg/directory/30851/big-data/software) - [Cloud Storage Software](https://www.capterra.com.sg/directory/31310/cloud-storage/software) - [Data Warehouse Software](https://www.capterra.com.sg/directory/31116/data-warehouse/software) - [NoSQL Databases Software](https://www.capterra.com.sg/directory/32257/nosql-databases/software) - [Business Continuity Software](https://www.capterra.com.sg/directory/30206/business-continuity/software) ## Alternatives 1. [Microsoft SQL Server](https://www.capterra.com.sg/software/1417/sql-server) — 4.6/5 (1981 reviews) 2. [MySQL](https://www.capterra.com.sg/software/11482/mysql) — 4.6/5 (2098 reviews) 3. [Google Cloud](https://www.capterra.com.sg/software/170983/google-cloud-platform) — 4.7/5 (2320 reviews) 4. [Airtable](https://www.capterra.com.sg/software/146652/airtable) — 4.6/5 (2242 reviews) 5. [Oracle Database](https://www.capterra.com.sg/software/5938/oracle-database) — 4.6/5 (473 reviews) ## Reviews ### "Flexible and Easy to Start, but Requires Good Planning" — 4.0/5 > **Furkan** | *19 August 2026* | Design | Recommendation rating: 8.0/10 > > **Pros**: What I like most is how flexible MongoDB is when the data structure changes during development. Working with document-based data feels natural, and I can add or adjust fields without constantly restructuring the database. The feature set is strong, and cloud integration through Atlas also makes deployment and management much easier. For smaller and growing projects, the combination of flexibility, ease of use, and available features provides good value. > > **Cons**: The flexibility can also become a drawback if the data model is not planned carefully. As collections and queries become more complex, indexing and performance optimization require more attention than they do at the beginning. Atlas is convenient, but pricing can also become harder to predict as usage grows. I have also found that solving more specific configuration or performance issues sometimes requires going deeper into the documentation. > > My overall experience with MongoDB has been positive. It is easy to get started with, especially when working with JSON-like application data, and the flexible structure makes development and iteration fast. Atlas also removes a lot of the work involved in managing a database in the cloud. As projects become larger, good schema design, indexing, and cost monitoring become more important, so there is still a learning curve beyond the basics. Overall, it has been reliable and productive for the type of projects I have used it for. ----- ### "Reliable NoSQL Database for High-Volume Production Workloads" — 4.0/5 > **Verified Reviewer** | *22 April 2026* | Information Technology & Services | Recommendation rating: 9.0/10 > > **Pros**: MongoDB is very flexible and easy to scale for large production workloads. I liked its schema flexibility, replication features, and strong performance for high read/write operations. The aggregation framework also very useful. > > **Cons**: Memory usage may become high during large aggregations or heavy workloads. Managing sharding is not easy as standalone or replicatica sets. > > My experience with MongoDB has been positive in production support and database administration environments. I worked with replica sets, monitoring, slow query analysis, backups, and troubleshooting database performance issues. ----- ### "DB for modern applications" — 4.0/5 > **Edwin** | *29 July 2026* | Financial Services | Recommendation rating: 8.0/10 > > **Pros**: What I like most about MongoDB is the flexibility it provides when working with modern applications, especially when dealing with changing data structures. The document-based model makes it easier to store and manage complex data without constantly redesigning database tables. The AI-related capabilities and integrations are also interesting, especially with features like vector search that can support AI applications such as semantic search, recommendation systems, and retrieval-augmented generation (RAG) solutions. The cloud platform, MongoDB Atlas, makes deployment and scaling much easier because many infrastructure tasks are handled automatically. The statistical analysis and monitoring tools help developers understand database performance, query patterns, and application behavior. I also appreciate the strong developer community, documentation, and available integrations with many programming languages and cloud providers. Overall, MongoDB helps teams build applications faster while keeping the development process flexible. > > **Cons**: One of the biggest challenges with MongoDB is that it requires developers to understand when a document database is the right choice. For teams coming from traditional SQL databases, the different data modeling approach can take some time to learn. Costs can also become a concern when using MongoDB Atlas at larger scales, especially when applications require more storage, high availability, or advanced features. Some advanced features, such as AI-related search capabilities and analytics tools, may require additional planning and configuration. I have also experienced situations where debugging complex queries or optimizing performance required more database knowledge than expected. While MongoDB provides many tools for monitoring and statistical analysis, understanding all the metrics and making the right optimization decisions can still be challenging for newer users. > > My overall experience with MongoDB has been positive, especially for projects that require fast development and flexible data structures. MongoDB works very well for applications where data changes frequently or where storing nested information naturally fits the application design. MongoDB Atlas provides a smooth cloud experience with automated backups, scaling options, security features, and integrations with popular cloud environments. I also like how MongoDB continues to add modern features, including AI-focused capabilities like vector search, which can help developers build smarter applications using machine learning models and AI assistants. Customer support and documentation are generally helpful when troubleshooting issues. The main learning curve is understanding proper data modeling and knowing when to optimize queries. Overall, MongoDB is a powerful platform that balances developer productivity, scalability, and modern application requirements. ----- ### "Flexible and production ready when used right" — 5.0/5 > **Junaid** | *22 January 2026* | Hospitality | Recommendation rating: 9.0/10 > > **Pros**: MongoDB is extremely flexible and fast to get started with. It scales well, integrate cleanly with modern clould platforms. I have been using it for years without hassle. Customer support and documentation are solid and community resources are easy to find when issues come up. > > **Cons**: Flexibility can easily turn into mess if the data model is not designed carefully from the start. Costs on MongoDB can also grow faster than expected as data and traffic scale. > > Overall MongoDB is powerfull database that works best when used intentionally. It is excelled for rapid development and scalable applications. Could integration is works great however poor schema decisions can cause you problems. ----- ### "Scaling our retail catalog data." — 5.0/5 > **Amir** | *19 February 2026* | Retail | Recommendation rating: 9.0/10 > > **Pros**: The integration with the cloud is seamless, and our retail application syncs thousands of product catalogs instantly. > > **Cons**: The bugs in version update sometimes corrupt the index data, and the response from customer support is ridiculously slow in attending to our urgent e-commerce issues. > > As an E-commerce manager, page loads are very important to me. I use this database to power our retail inventory. It provides value for money but is very complex. ----- Page: 1 / 20\ Next: [Next page](https://www.capterra.com.sg/software/127374/mongodb?page=2) ## Links - [View on Capterra](https://www.capterra.com.sg/software/127374/mongodb) ## This page is available in the following languages | Locale | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Structured Data