Fauna is a distributed document-relational database that combines the flexibility of documents with the power of a relational, ACID compliant database that scales across regions, clouds or the globe.

Fauna

Fauna is a distributed document-relational database delivered as a cloud API.

Fauna Inc.

When operating a SaaS, you have a unique set of requirements. You need a #database that lets you develop and test like it’s single-tenant but deploy so it’s multi-tenant, and you know your customer’s data is separate and secure. Fauna has you covered! #NoSQL

Join Fauna Principal Database Advocate Kirk Kirkconnell and Head of Database Product Bryan Reinero as they explore and demo two new features to the Fauna database: Computed Fields and Check Constraints.

Computed Fields are fields whose values are derived by an expression a developer has assigned to that field, enabling developers to compose objects and field values dynamically. Computed Fields can be indexed, increasing the flexibility users have in setting query patterns.

Check Constraints are rules defined as part of a developer's database/collection #schema and used to ensure the value of a given field is within an allowed set of ranges. Check Constraints are useful to ensure the field values are correct and sensible for the app's business logic.

Check out the docs for more information here: (https://bit.ly/3SQQDod) and here: (https://bit.ly/3HJVbpK). Drop a comment with any questions! #NoSQL #database

Build robust, scalable, type-safe serverless REST APIs effortlessly with Fauna, AWS Lambda, Serverless Inc. and TypeScript. 

Reduce complexities, accelerate development, and ensure seamless scalability. 🌐 

Shadid Haque shows you how in this tutorial: https://buff.ly/48QP0vR 

#Serverless #ModernApps #TypeScript #AWS #API

Fauna is a multi-region active-active #database. Therefore, data can be served from any replica as that data is strongly consistent across all replicas. No longer do your apps or functions need to be region-aware. Fauna handles that for you!
 
#NoSQL #Serverless

Missed the recent webinar on 'Bridging two worlds: An introduction to document-relational databases'? 👀

Good news! The recording of this insightful session with Kirk Kirkconnell, Fauna's Principal Database Advocate, is now available for you to catch up on. Click the link in the comments below to access the recording. 

#DocumentRelational #DocRel #Serverless #Database #ServerlessDevelopment

Fauna’s #serverless database is delivered as an API. No more managing instances, capacity, etc., and all that goes with that. Fauna maintains multi-region ACID-compliance, an API delivery model, AND NoSQL flexibility with relational features like joins and foreign keys. Sound too good to be true? Check out our architecture whitepaper linked in the comments for a deep dive.

Fauna brings back stored procedure-like functionality with its document-relational model, enhancing data operations and security. 
Its unique functions, executed in the database, are type-checked once for efficiency, streamline code deployment, and reduce regional constraints, simplifying application architecture. 
This shift invites developers to embed functions and business logic directly in the database, maximizing performance and security while managing it through Fauna’s Schema Language (FSL).

Fauna’s Distributed Transaction Engine (DTE) is the reactor at the core of our database. It powers everything from our multi-region #ACID #transactions to how you can model your data like you might with a #RDBMS, but still keep #NoSQL performance and scalability. Here’s a quick overview of what it is and why it matters:

'Yesterday was the best time to have a well-architected, resilient, well-practiced disaster recovery plan. The second best time is to start now...' 

When was the last time you reviewed yours? 👀

Fauna is a document-relational database - but what does that mean and why does it matter? 

Tyson Trautmann, VP of Engineering at Fauna, gives a quick overview in this clip!

#Serverless #DocumentRelational #DocRel #Database #NoSQL

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