
Centralize data from Bom Controle in your Data Warehouse
BomControle is a Brazilian ERP (Enterprise Resource Planning) system, developed to provide complete and integrated business management, especially geared toward small and medium-sized companies. Founded in 2015 and headquartered in São Caetano do Sul, São Paulo, BomControle aims to simplify and automate administrative and financial processes, enabling more efficient and intelligent management.
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Create a single source of truth
What is Erathos?
Integrate Bom Controle with your data warehouse and gain a 360° view of your business
Erathos is a complete ELT software that extracts data from various sources through instant integrations. With plug & play connectors, you consolidate all your data in a single analytical environment and build a Data Warehouse in minutes.
Why Erathos?
Plug and play connectors
Connect Bom Controle with more than 80 other plug-and-play integrations. Eliminate time-consuming manual processes and consolidate all your information in a single analytics environment, ready to generate actionable insights.
Greater control over pipelines
Build data pipelines with Bom Controle quickly: select the relevant data, set the schedule, frequency, and update type without writing a single line of code. You stay in full control, with complete flexibility.
Edge observability
Monitor your Bom Controle pipelines with real-time alerts via email, Slack, or Discord. Stop being caught off guard by sync errors and ensure your data is 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






















