Databases

Ably’s LiveSync product is now available as a public alpha release. LiveSync allows you to automatically keep data in sync across servers and clients, in realtime. This is a hard distributed systems problem. In this post, we’re going to have a look at four existing solutions to realtime data synchronization, the different technical designs, and the tradeoffs they make.

How to build a flexible pipeline to output Cloud SQL for SQL Server audit records to internal or external sinks with minimal coding in Cloud Data Fusion.

API-database coupling vs. traditional multi-layered architectures: what’s the difference and why does it matter? The main difference between direct API-database coupling and multi-layered architectures is that the former allows the API to interact directly with the database, minimizing latency and complexity, while the latter uses multiple layers to separate concerns.

We count on our database replication connectors for product analytics, and you should, too.

Hey there! We're back for our second edition of Tips and Tricks. As we said in our first post on Drizzle ORM, our new Tips and Tricks mini blog series is going to share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Today, we're going to talk about the template databases of PostgreSQL. Remember, these posts will be super short reads. If you don’t like the topic of one of the posts, no problem! Just skip it and check out the next one.

This blog explores how DreamFactory leverages its robust features to perform database analysis with AI, ensuring secure and efficient data operations. We will discuss the platform’s ability to generate dynamic APIs, provide real-time data insights, and maintain stringent security measures to protect data integrity.

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems. This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management.

When building your Laravel applications, you may sometimes need to use a NoSQL database to store and retrieve data. One popular choice is Amazon DynamoDB, a fully managed, serverless, and highly scalable NoSQL database service provided by Amazon Web Services (AWS). In this article, we'll take a brief look at DynamoDB. We'll then delve into how to use DynamoDB as a cache store in Laravel, and how to store Laravel models in DynamoDB using the baopham/laravel-dynamodb package.