airbyte VS PostgreSQL

AgentCloud uses Airbyte to build data pipelines, which allow us to split, chunk, and embed data from over 300 data sources, including Postgres.

I'l also give a shout-out to Airbyte (https://airbyte.com/), with which I've had some limited success with integrating Salesforce to a local database. The particular pull for Airbyte is that we can self-host the open source version, rather than pay Fivetran a significant sum to do this for us.

It's an immature tool, so I don't yet know that I can claim we've spent _less_ than Fivetran on the additional engineering and ops time, but it feels like it has potential to do so once stabilized.

Link to GitHub -->

When it says "available in open source", is that under the main airbyte repo's licensing [1], hence primarily licensed under the Elastic License v2 and therefore not typically considered open source by many?

Airbyte has previous of advertising their offering as open source while not really being as per the OSD[2]. This has been raised with them previously but without response [3][4]. They've also been extending their use of ELv2, recently moving many of their existing MIT licensed connectors to be ELv2 [5].

[1] https://github.com/airbytehq/airbyte/blob/master/LICENSE

As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script.

Airbyte, an open-source data integration engine that offers hundreds of connectors with data warehouses and databases, has gained popularity for its seamless integration and data syncing capabilities. Xata's integration with Airbyte offers a streamlined data ingestion process from any Airbyte input source directly into your Xata database.

You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte

In a landscape filled with open-source and commercial relational databases, this article focuses on the four most prominent open-source databases - PostgreSQL, MySQL, MariaDB, and SQLite. These DBMS are the most preferred databases per the SO’s 2023 survey.

You must first download PostgreSQL, and follow the prompts to learn its console line commands.

The best method to counter these problems is CloudNativePG operator, this operator manages PostgreSQL workloads on any supported Kubernetes cluster.

As the most similar alternative, you can use Ninefold or OpenShift. They both provide free plans and can run almost any database while Heroku uses PostgreSQL.

PostgreSQL (commonly also referred to as Postgres) is one of the most popular open-source relational database management systems (RDBMS). Renowned for its robustness, extensibility, and adherence to SQL standards, PostgreSQL has positioned itself as one of the most reliable and feature-rich relational databases available. Its support for complex data types and advanced indexing methods makes it suitable for handling diverse data requirements. Postgres is also recognized for its extensibility through the use of custom functions, data types, and procedural languages.

Creating a BookStore DB in PostgreSQL

PostgreSQL installed and running.

PostgreSQL has gained significant traction in recent years due to its feature-richness and robustness. As an open-source DBMS, it offers a high degree of customization and scalability, making it a suitable choice for a wide range of applications. With support for advanced data types, spatial data, and full-text search capabilities, PostgreSQL continues to enhance its reputation as a powerful alternative.

Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this: