Components

📄️ Pipelines

Pipeline is function to process data. It can be used to load, transform, enrich, filter, and route data. Pipelines are the core of the data processing in the system.

"Entity" represents a structural unit designed to organize and store persistent data. Analogous to an index in Elasticsearch, or a collection in MongoDB. You can think of an entity as a table in a relational database, or a document in a NoSQL database.

📄️ Views

"Views" allow defining a data processing pipeline from Entities that will be invoked every time the View is accessed.

📄️ Records

Items in an Entity or View are displayed in the Records table. When you select a specific Entity or View, you are first presented with this table, which shows all items contained within it. You can view, edit, delete, and create new records.

📄️ Query Builder

The Query Builder allows users to create complex queries for MongoDB without writing code. It provides an intuitive interface where you can build, modify, and preview queries directly within the application. This tool is especially useful for users who prefer a graphical interface over traditional query scripting.

📄️ Indexes

Indexes are used to speed up the query process. Without indexes, BuiltAPI must scan every document in a collection, to select those documents that match the query statement. If an appropriate index exists for a query, BuiltAPI can use the index to limit the number of documents it must inspect.

📄️ Integrations

Each integration represents a project that addresses a specific business task or use case through a series of pipelines. Integrations are used to manage the data flow between different systems, applications, and services.