ClusterControl vs. MongoDB Atlas Comparison


ClusterControl Severalnines	MongoDB Atlas MongoDB	+	+
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About ClusterControl is a hybrid, multi-cloud database ops orchestration platform for MongoDB, Elasticsearch, Redis, TimescaleDB, SQL Server on Linux, Galera Cluster, PostgreSQL, and MySQL in on-premises, cloud, and hybrid environments. It handles full-lifecycle operations, from deployment to failover, backup and more. With its full suite of databases, ops features and ability to be deployed in any environment, it enables organizations to implement the Sovereign DBaaS concept. ClusterControl is perfect for organizations that need to reliably run large-scale, open-source database operations but don't want to be limited by traditional DBaaS providers in environment choice, open-source license stability, and DB access.	About The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience DBA and DevOps professionals who want the reliability and scalability benefits of open-source database automation without giving away control to service providers.	Audience Developers, data engineers, and organizations looking for a fully managed, cloud-based database solution to build scalable, secure, and high-performance applications
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing €250/node/month Billed annually Free Version Free Trial	Pricing $0.08/hour Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros MongoDB Atlas significantly reduces operational overhead by handling provisioning, scaling, backups, and maintenance automatically. From a DevOps standpoint, this means less time managing infrastructure and more time focusing on reliability, pipelines, and delivery. The ability to deploy clusters in minutes across AWS, Azure, or GCP makes it highly flexible for multi cloud strategies and rapid environment setup Cons Despite being managed, it is not fully hands off. Production setups still require careful configuration of cluster sizing, networking, and security policies, especially for high traffic workloads. Misconfiguration can still lead to performance or cost issues
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Severalnines Founded: 2010 Sweden severalnines.com	Company Information MongoDB Founded: 2007 United States www.mongodb.com/atlas
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IBM Cloud Hyper Protect DBaaS IBM	ScaleGrid
Navisite DBaaS Navisite	MongoDB
Stratoscale View All	Percona Server for MongoDB Percona View All
Categories Database Database as a Service (DBaaS) Database Clients High Availability Cluster MongoDB GUI Clients	Categories AI Memory Layers Big Data Data Intelligence Data Management Database Database as a Service (DBaaS) Database Backup Database Performance Tuning Distributed Databases Document Databases Event Stream Processing NoSQL Database Unstructured Data Analysis Vector Databases
Database Features Backup and Recovery Creation / Development Data Migration Data Replication Data Search Data Security Database Conversion Mobile Access Monitoring NOSQL Performance Analysis Queries Relational Interface Virtualization
Integrations Amazon Kinesis Amazon Web Services (AWS) Ansible Ant Media Server DataLakeHouse.io DocumentDB for VS Code Fortem Google Kubernetes Engine (GKE) Grok Build Kubernetes Opsgenie PagerDuty QuerySurge RadiantOne Refold Resmo Rinalogy Search SAS Studio Zabbix voyage-4-large Show More Integrations View All 12 Integrations	Integrations Amazon Kinesis Amazon Web Services (AWS) Ansible Ant Media Server DataLakeHouse.io DocumentDB for VS Code Fortem Google Kubernetes Engine (GKE) Grok Build Kubernetes Opsgenie PagerDuty QuerySurge RadiantOne Refold Resmo Rinalogy Search SAS Studio Zabbix voyage-4-large Show More Integrations View All 67 Integrations
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