Databases

Handwriting code for database APIs can be a time consuming and expensive process that often exposes organizations to a variety of risks relating to quality, consistency, and developer effort. DreamFactory specialises in REST API generation for a range of databases that gives you the ability to generate a secure, fully documented API in minutes.

Handwriting code for database APIs can be a time consuming and expensive process that often exposes organizations to a variety of risks relating to quality, consistency, and developer effort. DreamFactory specialises in REST API generation for a range of databases that gives you the ability to generate a secure, fully documented API in minutes.

Welcome to the world of vector databases, where data storage and retrieval take on a whole new dimension! Let's start with the basics. In a vector database, data points are represented as multi-dimensional vectors, where each dimension captures a specific feature or attribute of the data. These vectors encode the essence of the data, allowing for efficient analysis, comparison, and retrieval.

Amazon's Relational Database Service (AWS RDS) is a web-based service launched by Amazon Web Services (AWS) that unifies the setup, operation, and scaling of relational databases in the cloud. By using a dependable and feature-rich ETL (Extract, Transform, Load) tool, you can simplify the process of retrieving, transforming, and sending data from the various systems you already use, like AWS RDS.

DB Viewer is a plugin that provides a UI to browse databases. But it is also a great option to access Database data through REST API, for example, to export data. In this article, we will explain how to navigate the data scheme and find all the needed information to export events and their granular data from Countly. ‍ Let's say you have some other database, and you want to populate it with data from Countly. Or you just want to prepare some kind of report through a third-party application.

When developers build applications, they need to think about how they will connect their products to data sources. Direct database access vs. REST APIs: which should you pick? Both currently stand out as two of the most popular options. Let’s explore the pros and cons of each so you can determine whether API-led connectivity serves your needs. Here are 5 things to know about direct database access and REST APIs: Table of Contents.

Often businesses have a different Database to store transactions (Eg: Amazon Aurora) and another Data Warehouse (Eg. Snowflake) for the company’s Analytical needs. There are 2 prime reasons to move data from your transactional Database to a Warehouse (Eg: Aurora to Snowflake). Table of Contents Firstly, the transaction Database is optimized for fast writes and responses. Running Analytics queries on large data sets with many aggregations and Joins will slow down the Database.