Release Notes
August 2026
v0.4.1
Feature Updates
- Adds DuckDB as a supported destination.
June 2026
v0.4.0
Under the Hood
- Migrates the
union_connections,apply_source_relation, andpartition_by_source_relationmacros to thedbt_fivetran_utilspackage. - Adds the
fivetran_using_source_casingvariable for case-sensitive destination support. When enabled, downstream transformations respect source casing to ensure consistent results. See the Additional Configurations section of the README for details.
March 2026
v0.3.2
Documentation
- Updates column descriptions for
line_item_line_item_typeand related fields to be more concise. - Updates README to remove badges and replace with plain-text dbt Core version compatibility.
Under the Hood
- Adds a
persist_docsconditional to integration tests to enable relation and column documentation persistence, except for Databricks targets.
January 2026
v0.2.0
Features
- Increases the required dbt version upper limit to v3.0.0
Under the Hood
- Updates the README and integration tests architecture to align with other packages
v0.3.0
Documentation
- Updates README with standardized Fivetran formatting.
Under the Hood
- In the
quickstart.ymlfile:- Adds
supported_varsfor Quickstart UI customization.
- Adds
v0.3.1
Under the Hood
- Adjusts the data type of
aws_cloud_cost_start_datein thequickstart.ymlfrom string to date.
September 2024
v0.1.0
This is the initial release of the aws_cloud_cost dbt package!
📣 What does this dbt package do?
This package models AWS Cloud Cost data from Fivetran's AWS Cost Report connector. It uses data in the format described by the AWS Cost & Usage Report.
The main focus of the package is to transform the core object tables into analytics-ready models, including:
- Materializes AWS Cloud Cost staging tables which leverage data in the format described by the AWS Cost & Usage Report. These staging tables clean, test, and prepare your AWS Cloud Cost data from Fivetran's connector for analysis by doing the following:
- Names columns for consistency across all packages and for easier analysis:
- Column names are shortened for convenience and to avoid redundancy.
- Takes the latest export of each account's billing month report.
- Names columns for consistency across all packages and for easier analysis:
- Creates analytics-ready end models for monitoring and investigating cost & usage of different AWS services across your organizations.
- Generates a comprehensive data dictionary of both your AWS Cloud Cost source and modeled data through the dbt docs site.
This package does not apply freshness tests.
The following table provides a detailed list of all models materialized within this package by default.
TIP: See more details about these models in the package's dbt docs site.
| model | description |
|---|---|
| aws_cloud_cost__daily_overview | Daily aggregation of the Standard Cost & Usage Report (2.0) exported from AWS. Includes slew of commonly analyzed dimensions related to billing, pricing, line item buckets, and products. Contains both high-level cost and usage metrics, along with all metrics related to reservations and savings plans. Also includes financial reporting fieds relating to invoices and billing periods. |
| aws_cloud_cost__daily_product_report | Daily view of each account's use of and associated costs from individual AWS products for each billing period. |
| aws_cloud_cost__daily_instance_report | Daily view of each account's use of and associated costs from different Amazon Elastic Compute Cloud (EC2) instances for each billing period. |