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Turso: Globally Replicated SQLite with Glauber Costa

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Content provided by Data Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Distributed databases are necessary for storing and managing data across multiple nodes in a network. They provide scalability, fault tolerance, improved performance, and cost savings. By distributing data across nodes, they allow for efficient processing of large amounts of data and redundancy against failures. They can also be used to store data across multiple locations for faster access and better performance.

Turso is an edge-hosted, distributed database based on libSQL, an open-source and open-contribution fork of SQLite. It was designed to minimize query latency for applications where queries come from anywhere in the world. In particular, it works well with edge functions provided by cloud platforms such as CloudFlare, Netlify, and Vercel, by putting your data geographically close to the code that accesses it.

Glauber Costa is the Founder and CEO of ChiselStrike the company behind Turso, and he joins us today.

Full disclosure: ChiselStrike is a sponsor of Software Engineering Daily.

Alex is an AWS Data Hero, an independent consultant, and the author of The DynamoDB Book, the comprehensive guide to data modeling with DynamoDB. He was an early employee at Serverless, Inc., creators of the Serverless Framework, and was an early community member in the serverless space. His consulting and training work focuses on serverless architectures and database optimization. You can find him on Twitter as @alexbdebrie or on his site, alexdebrie.com.

The post Turso: Globally Replicated SQLite with Glauber Costa appeared first on Software Engineering Daily.

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230 episodes

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Manage episode 359748307 series 1437556
Content provided by Data Archives - Software Engineering Daily. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Archives - Software Engineering Daily or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Distributed databases are necessary for storing and managing data across multiple nodes in a network. They provide scalability, fault tolerance, improved performance, and cost savings. By distributing data across nodes, they allow for efficient processing of large amounts of data and redundancy against failures. They can also be used to store data across multiple locations for faster access and better performance.

Turso is an edge-hosted, distributed database based on libSQL, an open-source and open-contribution fork of SQLite. It was designed to minimize query latency for applications where queries come from anywhere in the world. In particular, it works well with edge functions provided by cloud platforms such as CloudFlare, Netlify, and Vercel, by putting your data geographically close to the code that accesses it.

Glauber Costa is the Founder and CEO of ChiselStrike the company behind Turso, and he joins us today.

Full disclosure: ChiselStrike is a sponsor of Software Engineering Daily.

Alex is an AWS Data Hero, an independent consultant, and the author of The DynamoDB Book, the comprehensive guide to data modeling with DynamoDB. He was an early employee at Serverless, Inc., creators of the Serverless Framework, and was an early community member in the serverless space. His consulting and training work focuses on serverless architectures and database optimization. You can find him on Twitter as @alexbdebrie or on his site, alexdebrie.com.

The post Turso: Globally Replicated SQLite with Glauber Costa appeared first on Software Engineering Daily.

  continue reading

230 episodes

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