#database

I'm going to be talking about modern databases in the React ecosystem. The development work used to be simple, with front-end and backend developers working separately. However, with the rise of Node.js and full stack frameworks like Next.js, the ecosystem has evolved. Now, front-end developers are often writing back-end code, and databases have become a crucial component. In this talk, we'll explore the modern solutions and their strengths when it comes to databases. We'll discuss the changes in the databases world and how React and other frameworks have made accessing databases easier. Serverless databases simplify the complexity of managing databases, but there are considerations like vendor lock-in and limited customization options. AI databases with vector functionality provide deeper searches on unstructured data. Multimodal databases like SurrealDB allow for different kinds of data in one storage. Tools like Prisma, Drizzle, and EdgeDB provide good type safety and ease of use. EdgeDB is a graph relational database that combines SQL and GraphQL, making querying relations easier. Database selection is not permanent, and it's important to consider user needs and stay informed about modern trends. Early adoption of cutting-edge databases comes with risks, but also full-time support. Using the best tool for the job is crucial, and trying new tricks for specific data is recommended.

Local-first software allows for instant display of data to the user, offering zero latency and offline functionality. It simplifies data synchronization and enables real-time multi-user sync. Popular tools like Facebook Messenger and Google Workspace apps have adopted this pattern. Electric SQL provides a drop-in sync layer for existing applications, combining real-time functionality with conflict-free offline capabilities. Local-first software replaces APIs and microservices with a standardized replication protocol, simplifying state management and reducing server load.

Key-value databases are optimized for high availability and partition tolerance, making them ideal for storing non-relational data structures. They prioritize speed and high availability over consistency, making them suitable for simple data models or one-to-one mappings. However, they have limited query capabilities compared to relational databases. Some available options for key-value databases include DynamoDB, CloudFlare Worker KV, Redis, and FoundationDB. Using key-value databases in TypeScript requires addressing challenges such as serialization, deserialization, secondary indexes, relationships, and validation. The Talk includes a demonstration of an application that showcases the use of secondary indexes and the implementation of a key-value database in Deno or Redis.

The Talk discusses the use of machine learning in search engines, specifically focusing on semantic search and vector embeddings. It explores the integration of JavaScript and machine learning models, using Weaviate as an open-source vector database. The Talk demonstrates how to connect to Weaviate, query data, and perform machine learning queries. It also highlights the benefits of Weaviate, such as its superior developer experience and performance. Additionally, the Talk addresses customization options, data privacy concerns, and the varying effectiveness of different machine learning models.

Welcome to a talk on Object-Relational Mapping (ORM) and its potential pitfalls. The speaker discusses issues with modals and the MVC pattern, as well as the benefits of structuring code around system features instead. They introduce PlatformaticDB as a solution for easy backend development, showcasing its deployment and testing capabilities. The talk also covers integrating with Next.js, writing custom SQL queries, and the speaker's plans for future support and database compatibility.

This talk discusses working with databases on the Edge, the challenges of serverless and databases, and the challenges of working with databases on the Edge. It explores solutions such as using proxy connections and globally replicated data stores. The talk also highlights the use of Prisma for caching data and the considerations for edge migration. Additionally, it mentions the caching strategy with SWR and the availability of edge solutions for caching.

DynamoDB is a next-generation key-value database that is low-latency, scalable, and easy to use. It offers advantages such as local development options, a generous free tier, and fast performance. Common misconceptions about DynamoDB being expensive or hard to learn are debunked. The Talk covers topics like basic modeling, separating concerns, working with DynamoDB in Remix, and building a DynamoDB client. Overall, DynamoDB is a powerful database that integrates well with Remix and provides efficient data access patterns.

Remix and Prisma enable front-end developers to become full-stack developers by working across different parts of the stack without diving into complexities. They provide a great framework for writing code and interacting with databases, making it easier to be a full-stack developer. Prisma's ORM allows mapping database models to JavaScript or JSON models. Developing a full stack app with Remix requires structuring components and loaders differently, but simplifies development by focusing on one place.

The Talk discusses the use of TypeScript and SQL together in software development. It explores different approaches, such as using an ORM like TypeORM or a schema generator like pg2ts. Query builders like connects JS and tools like PGTyped are also discussed. The benefits and trade-offs of using TypeScript and SQL are highlighted, emphasizing the importance of finding a middle ground approach.

This Talk discusses database access on the edge with CloudFlare workers and the challenges of serverless platforms. It explores solutions for database access, including CloudFlare-specific solutions and using Prisma data proxy. The Prisma toolkit and demo are showcased, demonstrating how to convert an application to use a database. The process of setting up Prisma Data Platform and deploying the application to CloudFlare workers is explained. The Talk concludes with insights on database usage and the differences between serverless, CDN, and the Edge.

Tyler Hannon discusses the importance of choosing the right database and explains the ACID acronym, which stands for Atomicity, Consistency, Isolation, and Durability. He also highlights the challenges and benefits of distributed transactions in Fullstack applications. Various approaches to solving database challenges are mentioned, with a focus on FAUNA and its CALVIN protocol. The goal is to have a fast, reliable, and serverless database that meets specific requirements.

NodeSource's NSolid simplifies Node.js for Windows DB and provides analytics, diagnostics, and security. InfluxDB is used for data aggregation and real-time monitoring, with a three-second latency sampling mechanism. Challenges with Utility Influx are faced, but InfluxDB handles large amounts of data and is easy to test and debug. Ensolve is recommended for production to benefit from insights, security, and diagnostics.