Centralize eNotas data in your data warehouse
eNotas is a Brazilian platform specialized in issuing and managing electronic invoices (NF-e, NFS-e, and NFC-e). Through a robust API and integrations with leading management systems, eNotas automates the tax invoice issuance process, validation with city governments and the Brazilian Federal Revenue Service, status checks, and secure storage of tax documents. It is used by SaaS companies, marketplaces, and digital businesses that need to automate tax obligations at scale without relying on manual processes or external accounting.
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Create a single source of truth
What is Erathos?
Integrate eNotas with your data warehouse and get a complete view of tax invoicing
Erathos is a complete ELT platform that extracts data from multiple sources through instant integrations. With plug-and-play connectors, you can centralize all your data in a single analytics environment and build a Data Warehouse in minutes.
Why Erathos?
Plug-and-play connectors
Connect eNotas with 80+ other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all information in a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Create eNotas data pipelines quickly: select the relevant data, configure the schedule, frequency, and refresh type without writing a single line of code. You keep full control, with complete flexibility.
Cutting-edge observability
Monitor your eNotas pipelines with real-time alerts via email, Slack, or Discord. Stop getting caught off guard by sync errors and keep your data always up to date and reliable.
Our customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and establish a pipeline.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
Data ingestion with control, observability, and scale






















