Conta AzulDatabricks

Conta Azul + Databricks

Conta Azul is an all-in-one financial and accounting management platform designed to streamline and automate processes like invoicing, accounts management, and billing for businesses.

With Erathos, you can integrate data from Conta Azul into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it easy to combine that data with other sources in your Data Warehouse. That way, your time goes where it really creates value — uncovering actionable insights and making more data-driven decisions.

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Trusted by great companies

Ace Startups
Kamino
Convenia
Vakinha
Linus
Rabbot
Auvo
Roqt
Xperiun
Tecnova
WePayments
Brick
CCM
Simplified extraction and ingestion

Move data in a few clicks

1

Connect your source

Authenticate your account and you're done. 100+ ready-made connectors, no code required.

2

Configure the sync

Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.

3

Choose your destination

Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.

Which Conta Azul data does Erathos sync to Databricks?

The integration automatically syncs the main Conta Azul objects:

  • Invoices — issued, received, and canceled NF-e
  • Orders — sales, purchases, and delivery status
  • Customers and vendors — master records and transaction history
  • Accounts payable and receivable — cash flow and due dates
  • Inventory — movements, balances, and locations
  • Financial data — income statement, balance sheet, and cost centers

Why sync Conta Azul with Databricks?

Conta Azul data provides the most complete financial and operational view of the business — but it stays locked inside the ERP. In Databricks, you can combine invoices, orders, and cash flow with CRM, marketing, and product data to build a unified view of profitability by customer, channel, and time period.

Available data

What Conta Azul sends to Databricks

22 Conta Azul tables can be synced to Databricks. Each table is created in Databricks with the same name it has in the connector, inside the schema you choose when setting up the connection.

A closer look at some tables

vendas

24 fields
Primary key
id
Fields for incremental loads
data_alteracao
Some of the fields
iddata_alteracaocliente.cepcliente.cidadecliente.emailcliente.enderecocliente.estadocliente.idcliente.nomecliente.paiscliente.telefonecondicao_pagamentoand 12 more

pessoas

21 fields
Primary key
uuid
Fields for incremental loads
uuid
Some of the fields
uuidativodocumentoemailendereco.bairroendereco.cependereco.cidadeendereco.complementoendereco.estadoendereco.id_cidadeendereco.logradouroendereco.numeroand 9 more

financeiro_receitas

16 fields
Primary key
id
Fields for incremental loads
data_alteracao
Some of the fields
iddata_alteracaocategoriascentros_de_custocliente.idcliente.nomedata_criacaodata_vencimentodescricaonao_pagopagorenegociacao.idand 4 more

A first query in Databricks

Reading the Conta Azul vendas table straight from Databricks. Replace your_schema with the schema you chose for the connection.

SELECT
  id,
  data_alteracao,
  get_json_object(cliente, '$.cep') AS cliente_cep,
  get_json_object(cliente, '$.cidade') AS cliente_cidade
FROM your_schema.vendas
ORDER BY data_alteracao DESC
LIMIT 10

Nested fields such as cliente.cep generally land in Databricks as JSON, in a column named after the top level (cliente). That is why the query reads them with Databricks's JSON functions.

Available tables

  • categorias
  • categorias_dre
  • centros_de_custos
  • contas_financeiras
  • contas_financeiras_saldo_atual · under contas_financeiras
  • contas_financeiras_saldo_inicial
  • contratos
  • financeiro_despesas
  • financeiro_parcelas_despesas · under financeiro_despesas
  • financeiro_parcelas_receitas · under financeiro_receitas
  • financeiro_receitas
  • financeiro_transferencias
  • notas_fiscais
  • pessoa_detalhes · under pessoas
  • pessoa_resumo_legado · under pessoas
  • pessoas
  • produtos
  • servicos
  • venda_detalhes · under vendas
  • vendas
  • vendas_itens · under vendas
  • vendedores
Why Companies Move Data from Conta Azul to Databricks with Erathos

Centralizing Conta Azul data in Databricks has never been easier.

Erathos is a data ingestion platform for BI and data teams. With the Conta Azul connector, you can automatically centralize financial, tax, and operational data in Databricks—without custom integrations and with full pipeline observability.

Why do data teams choose Erathos for Conta Azul?

Data in your data warehouse in minutes

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Building data-driven stories

“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”

Bruno Rosso
Bruno RossoData Analyst, Brick Software

“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”

Matheus Nunes
Matheus NunesCTO & co-founder, WePayments

“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”

Carlos Schwabe
Carlos SchwabeCo-Founder & CDO, Brick

“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”

Thiago Paz
Thiago PazCFO, Brick

“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”

Gustavo Loforte
Gustavo LoforteTechnology Manager, CCM Group

“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”

Sayuri Valente
Sayuri ValenteProject Manager, Xperiun
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FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Conta Azul to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos synchronizes financial, tax, and operational data from Conta Azul: invoices, orders, customers, suppliers, accounts payable/receivable, and inventory. Module availability may vary depending on your Conta Azul plan and configuration.

You can configure the sync frequency per table, from every 5 minutes up to once a day. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Conta Azul pipeline efficient and Databricks costs predictable.

Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect Conta Azul to Databricks and start syncing immediately—no credit card required.

Data ingestion with control, observability and scale