SuperlógicaSupabase

Superlógica + Supabase

Superlógica is a software platform for financial and operational management of subscription businesses and recurring services.

With Erathos, you can integrate data from Superlógica into Supabase in just a few minutes. Our platform handles the entire data movement process to your open-source backend platform with PostgreSQL and allows that data to be combined with other sources. That way, your time goes to what really creates value — extracting insights and making 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 Superlógica data does Erathos sync with Supabase?

The integration automatically syncs Superlógica’s main objects:

  • Orders and sales — number, status, items, and amounts
  • Customers — records, purchase history, and balance
  • Products and inventory — code, available quantity, and movements
  • Financials — accounts payable, accounts receivable, journal entries, and balances
  • Suppliers — records, purchase orders, and commercial terms
  • Invoices — issuance, status, and tax data

Why sync Superlógica with Supabase?

In Supabase, your data is available through auto-generated REST and GraphQL APIs based on the schema — directly accessible by your application without extra layers. Row Level Security ensures each user sees only the data they’re supposed to see. It’s ideal for product teams that want analytical data available in the application database in real time.

How it works

Erathos connects to Superlógica through the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Supabase. The sync uses intelligent UPSERT in Supabase (PostgreSQL) to ensure data consistency. You choose the sync frequency, the objects to sync, and the destination schema. Every run is fully observable: execution time, processed rows, and alerts via Slack or email.

Why companies are moving data from Superlógica to Supabase with Erathos

Centralizing Superlógica data in Supabase has never been easier

Erathos is a data ingestion platform built for finance and data teams. With the Superlógica connector, you automatically centralize billing, customer, and recurring revenue data in Supabase — always up to date, with full observability into every run and zero maintenance.

Why do data teams choose Erathos for Superlógica?

Superlógica data in Supabase 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 Superlógica to their data warehouse — with full observability into every run, zero maintenance, and none of the black-box behavior of traditional market tools.

Erathos connects Superlógica’s core modules to your Data Warehouse: finance, inventory, orders, customers, suppliers, and more. Data is extracted incrementally, without impacting operations.

You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Superlógica pipeline efficient and Supabase 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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.

Yes. Every Erathos connector includes a 14-day free trial. Connect Superlógica to Supabase and start syncing right away — no credit card required.

Data ingestion with control, observability and scale