Dataleyk vs. MongoDB Atlas Comparison


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About Dataleyk is the secure, fully-managed cloud data platform for SMBs. Our mission is to make Big Data analytics easy and accessible to all. Dataleyk is the missing link in reaching your data-driven goals. Our platform makes it quick and easy to have a stable, flexible and reliable cloud data lake with near-zero technical knowledge. Bring all of your company data from every single source, explore with SQL and visualize with your favorite BI tool or our advanced built-in graphs. Modernize your data warehousing with Dataleyk. Our state-of-the-art cloud data platform is ready to handle your scalable structured and unstructured data. Data is an asset, Dataleyk is a secure, cloud data platform that encrypts all of your data and offers on-demand data warehousing. Zero maintenance, as an objective, may not be easy to achieve. But as an initiative, it can be a driver for significant delivery improvements and transformational results.	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 Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies, enterprises and anyone in search of a fully-managed cloud data platform to simplify Big Data analysis	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 Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing €0.1 per GB Free Version Not Supported Free Trial Supported	Pricing $0.08/hour Free Version Supported Free Trial Not Supported
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 Supported Webinars Not Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Not Supported In Person Not Supported
Company Information Dataleyk Germany dataleyk.com	Company Information MongoDB Founded: 2007 United States www.mongodb.com/atlas
Alternatives Data Lakes on AWS Amazon	Alternatives Couchbase
Qubole	RaimaDB Raima
Upsolver	ScaleGrid
Lentiq	MongoDB
Databricks View All	Azure Cosmos DB Microsoft View All
Categories Big Data Supported Data Analysis Supported Data Lake Supported Unstructured Data Analysis Supported	Categories AI Memory Layers Supported Big Data Supported Data Intelligence Supported Data Management Supported Database Supported Database as a Service (DBaaS) Supported Database Backup Supported Database Performance Tuning Supported Distributed Databases Supported Document Databases Supported Event Stream Processing Supported NoSQL Database Supported Unstructured Data Analysis Supported Vector Databases Supported

Integrations Amazon Web Services (AWS) Supported AWS CloudFormation Not Supported Ant Media Server Not Supported Blink Not Supported ClicData Not Supported Comet Backup Not Supported DataLakeHouse.io Not Supported Fleece AI Not Supported Hevo Not Supported HiveMQ Not Supported IRI Voracity Not Supported Integrate.io Not Supported Kubernetes Not Supported Lyftrondata Not Supported Mimasa AI Not Supported Orka Not Supported Rinalogy Search Not Supported Scarf Not Supported Sliplane Not Supported VisuaLeaf Not Supported Show More Integrations View All 1 Integration	Integrations Amazon Web Services (AWS) Supported AWS CloudFormation Supported Ant Media Server Supported Blink Supported ClicData Supported Comet Backup Supported DataLakeHouse.io Supported Fleece AI Supported Hevo Supported HiveMQ Supported IRI Voracity Supported Integrate.io Supported Kubernetes Supported Lyftrondata Supported Mimasa AI Supported Orka Supported Rinalogy Search Supported Scarf Supported Sliplane Supported VisuaLeaf Supported Show More Integrations View All 70 Integrations
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