Übersicht

MongoDB Flex

Learn about STACKIT's MongoDB Flex to create a first managed instance now.

Grundlagen

Verstehen Sie die grundlegende Architektur von MongoDB Flex, lernen Sie die wichtigsten Funktionen kennen und erfahren Sie, wie Sie die Datenbank effektiv nutzen können.

Getting started

Create your first MongoDB Flex instance. Follow the guides to build a working setup and connect in minutes.

How-tos

Manage instances, users, and backups. Connect with various tools such as Cloud Foundry and Terraform.

Tutorials

Go from theory to a working application. Combine multiple concepts and build complex projects using MongoDB Flex.

Reference

Find API documentation, CLI commands, performance metrics and an overview of project roles and permissions.

Troubleshooting

Resolve common issues to keep your MongoDB Flex deployment running steadily.

FAQ

Quickly find answers to frequently asked questions about MongoDB Flex.

Release Notes

Discover what's new in MongoDB Flex, including added features, bug fixes and deprication notices.

Latest updates

• announcement

  MongoDB Flex Performance Advisor is available

  5. Aug. 2025

  From 05.08.2025 we can offer you a new service MongoDB Flex Performance Advisor in the STACKIT Portal and also in the STACKIT API.

  The PA is visible after you have entered your data into your instance. Without data in your instance, this feature will not show any results as it needs queries and data to analyze.

  Our Help Center is always at your disposal if you have any questions.

• deprecated

  MongoDB Version 6.0 is getting deprecated

  1. Dez. 2024

  The STACKIT MongoDB Flex Version 6.0 will soon reach the end of support on July 01, 2025.

  All existing services with the MongoDB Version 6.0 must be updated to MongoDB Version 7.

  If you need assistance for updating your data to the new version or if there are any questions, our support is always available via the Help Center.

• announcement

  STACKIT MongoDB Flex 7 is now available

  10. Juni 2024

  We are happy to announce the new MongoDB Flex Version 7 for STACKIT.

  You can find more information about our life cycle here.

  In our Docs you will find guides to help you change to the new version. Please feel free to contact our Help Center if you need any assistance.

MongoDB Flex Release Notes

FAQ

My service usage is growing, what can I do?

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Why do I see two services on the services list?

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What are the IP ranges used in the default ACL?

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Release Notes

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Features

• Scalability: You can scale your database in a vertical way. That means, that you can add more vCPU, vRAM or more disk space to your database.
• High security data access and storage: RBAC authorization, TLS 1.3 and STACKIT Object Storage make sure that your data and backups are accessed and stored securely.
• Real-time analytics: With the customer dashboard you are able to track your workload on the database to see the performance.
• Replication: With the replica set of three nodes the database replicates its data to all of the nodes making the system failure proof.
• Accessibility: The MongoDB service is available within a dedicated pod in our Kubernetes Engine, so that they may also be combined with Kubernetes workloads or Virtual Machines.
• Data queries: You may use CRUD operations to create, read, update, and delete documents.
• Modeling data: Data modeling is also supported, so that you may access and manage your data efficiently.
• Data aggregation and transformation: Mongoimport enables you to import BSON, JSON, CSV and TSV files and aggregation pipelines let you aggregate and transform data easily.

Use cases

Popular use cases for MongoDB are the following:

• Single View of Anything: Aggregate and transform data for your application e.g. having a view of your real-time retail prices, as well as storing your historical customer behavior.
• Internet of Things: Due to the multitude of sensor types and data used in IoT devices your database needs to be able to support flexible data schemas and be able to adjust it for future changes.
• Personalisation Engines: Create a customer-tailored experience through targeted display of options and products through the analysis of preconfigured profiles and/or historical data and preferences.
• Catalog: Create a product catalog with different offerings and prices based on different factors such as location.
• Analytics: Big data analysis through aggregation pipelines e.g. creating a sales report of multiple income channels such as different store locations.
• Content management: Store and serve information of and for different websites and applications such as blogs.