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Step 1Open the server Apps tab
Select the tutorial-vps VPS, open the Apps tab, and start a new app deployment. Keep sensitive server details hidden before capturing or sharing screenshots.
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MindsDB
Development4096MB+ RAM
AI layer for existing databases - bring ML to your data
aimldatabasepredictionsautoml
Deploy MindsDB in 3 Steps
1
Connect Your VPS
Add your server credentials to Server Compass
2
Select MindsDB
Choose from our template library
3
Deploy & Configure
Fill in settings and click Deploy
No Docker knowledge required
Step-by-step deployment guide
Deploy MindsDB on a VPS with Server Compass
Use the MindsDB template in Server Compass to deploy an AI layer for existing databases on your VPS, then verify the HTTP web UI in a browser.
About 10 minutesBrowser verified
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Step 2Choose an app template
Click New App and choose the template deployment path so Server Compass can load the built-in catalog.
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Step 3Search for MindsDB
Use the template picker search to find MindsDB in the Server Compass template catalog.
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Step 4Select the MindsDB template
Choose the MindsDB template. Server Compass fills the MindsDB service, persistent storage volume, HTTP web/API port, and MySQL-compatible API port.
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Step 5Review the MindsDB settings
Confirm the app name and compose services. In this run, the app was named mindsdb-demo and used host port 47334.
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Step 6Deploy MindsDB
Review the generated compose settings, confirm the web port is available, and click Deploy Now.
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Step 7Watch the deployment progress
Keep the deployment modal open while Server Compass uploads the compose file, pulls the MindsDB image, starts the container, and verifies the stack.
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Step 8Confirm MindsDB is running
After deployment finishes, return to the Apps tab and confirm the MindsDB app is marked Running with its application URL available.
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Step 9Open MindsDB in the browser
Click Open Application or open the application URL in a browser. The MindsDB web UI confirms the HTTP service is reachable.
After MindsDB Opens
- Do not expose MindsDB directly to the public internet without HTTPS and an additional access-control layer; the template has no authentication by default.
- Use a VPN, IP allowlist, firewall rule, or authenticated reverse proxy for production access.
- Connect only intended data sources and use least-privilege credentials for each external database.
- Keep the MindsDB image updated for security and integration fixes.
- Monitor memory and disk usage because MindsDB can become resource-intensive when models, integrations, and cached data grow.
MindsDB deployment questions
What does the MindsDB template deploy?
It deploys the MindsDB container with persistent `/root/mindsdb_storage` storage, an HTTP web/API port, and a MySQL-compatible API port.
Which port did the tutorial use?
The tutorial used host port 47334, which maps to the MindsDB web UI on container port 47334.
Why does the browser verification stop at the first web UI screen?
A fresh MindsDB deployment is considered reachable when the HTTP web UI loads. The tutorial does not connect external databases or upload private data.
Should this become a blog post?
No. The deployment guide should live on the MindsDB template detail page and be linked from the reusable template deployment docs page.
Why Self-Host MindsDB?
MindsDB brings machine learning directly to your existing databases using SQL syntax. Self-hosting means your data never leaves your infrastructure — predictions are made where your data lives. This eliminates the latency and security concerns of sending data to external ML APIs.
Create ML models using familiar SQL syntax — no Python required
Data stays in your database — predictions happen locally
Connect to PostgreSQL, MySQL, MongoDB, and 100+ data sources
Real-time predictions as part of your existing SQL queries
Fine-tune models on your proprietary data without external exposure
MindsDB vs Alternatives
MindsDB vs BigQuery ML
BigQuery ML locks you into Google Cloud. MindsDB is open-source and works with any database on any infrastructure.
MindsDB vs Amazon SageMaker
SageMaker requires data science expertise. MindsDB lets SQL developers build and deploy ML models without learning Python.
MindsDB vs H2O.ai
H2O is powerful but complex. MindsDB integrates directly into your existing database workflow with zero infrastructure changes.
Why Deploy MindsDB with Server Compass?
Server Compass deploys MindsDB with the correct memory allocation (4GB+ recommended) and persistent storage for your trained models. It pre-configures connections so MindsDB can reach your existing database containers.
Download Server CompassAfter Deployment
After deploying MindsDB with Server Compass, complete these steps to finish setup
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Access the MindsDB editor
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Connect your databases
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Create predictors with SQL syntax
Need help? Check out our documentation for detailed guides.
MindsDB FAQ
Common questions about self-hosting MindsDB
How do I deploy MindsDB with Server Compass?
Simply download Server Compass, connect to your VPS, and select MindsDB from the templates list. Fill in the required configuration and click Deploy. The entire process takes under 3 minutes.
What are the system requirements for MindsDB?
MindsDB requires a minimum of 4096MB RAM. We recommend a VPS with at least 8192MB RAM for optimal performance. Any modern Linux server with Docker support will work.
Can I migrate my existing MindsDB data?
Yes! Server Compass provides volume mapping that allows you to import existing data. You can also use standard MindsDB backup and restore procedures.
How do I update MindsDB to the latest version?
Server Compass makes updates easy. Simply click the Update button in your deployment dashboard, and the latest MindsDB image will be pulled and deployed with zero downtime.
Is MindsDB free to self-host?
MindsDB is open-source software. You only pay for your VPS hosting (typically $5-20/month) and optionally Server Compass ($29 one-time). No subscription fees or per-seat pricing.
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Ready to Self-Host MindsDB?
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