Simplify your database experience with Neurelo. It eliminates many database tools and complexities by providing instant AI-powered REST and GraphQL APIs, GitSchema, Observability, and more for MongoDB, Postgres, and MySQL. Focus on what matters โ your code.
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Neurelo's approach to transforming databases into instant APIs is impressive, especially with the ability to unify multiple database-related tools into one platform. How does Neurelo handle database security, and what measures are in place to ensure that the API-first approach maintains the integrity of data and protects sensitive information?
Thank you @anastasia_chakileva_ Great question! We have robust authentication and authorization mechanisms to ensure that only authorized users and applications can access the API endpoints. Data encryption as well as data validation and input sanitization to ensure the integrity of the data being processed by the API. We also have detailed monitoring/logging/tracing in place.
Overall, we have a comprehensive security capabilities built in our platform to minimize any risk to our users data ๐ก๏ธ(* an interesting tidbit -- The cofounder of Neurelo was head of security engineering at Stripe and also headed engineering team for one of the largest security platforms at Palo Alto Networks). ๐
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I saw this video of Neurelo yesterday and found it very help in exploring the GitSchema and migration for my MongoDB:
Very useful and great work by the team!
This looks really nice, almost reminds me of Supabase how it sets up an API layer over a database but it seems much more flexible. To be certain, the AI generation is closer to a build-time step than it is a run-time action, right?
@bradydowling Thanks for the note Brady! Yes, the schema-aware AI generation capability allows you to generate complex SQL queries (for Postgres or MySQL) or MQL queries (for MongoDB) during build time, which you can then save as custom REST or GraphQL API endpoints for you to use at run-time. Would love your feedback as you use the feature!
@bradydowling Thank you for your support. And yes, you can use AI to help you in writing custom queries, but they become part of the schema that you deploy.
We also have a video on this workflow here: https://docs.neurelo.com/how-to-...
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