VindiAzure Synapse
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Vindi + Azure Synapse

Vindi is a subscription and payment management platform tailored for businesses operating on recurring billing models. Azure Synapse, on the other hand, is an enterprise-grade analytics service that accelerates time-to-insight across data warehouses and Big Data systems, delivering robust large-scale data storage and analytics capabilities.

With Erathos, you can integrate Vindi data into Azure Synapse in just a few minutes. Our platform handles the entire ELT process to your analytical environment, allowing you to join this data with other sources in your Data Warehouse. This frees up your time to focus on what actually drives value — extracting critical 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.

What Vindi data does Erathos sync to Azure Synapse?

The integration automatically syncs key Vindi objects:

  • Transactions — approved, declined, and refunded payments
  • Subscriptions — plans, status, MRR, and renewal dates
  • Charges — invoices, bank slips, and recurring billing data
  • Refunds — chargebacks and disputes with full context
  • Customers — profile data and payment history
  • Webhook events — approved payments, failures, cancelled subscriptions, and more

Why sync Vindi with Azure Synapse?

In Azure Synapse, you integrate Vindi data directly into the Microsoft ecosystem: Power BI for executive dashboards, Azure Data Factory for orchestration, and distributed analytics at enterprise scale.

How it works

Erathos connects to the official Vindi API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Azure Synapse costs predictable. You choose the sync frequency (ranging from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

Why companies replicate data from Vindi to Azure Synapse with Erathos

Centralizing Vindi data into Azure Synapse has never been easier

Erathos is a data ingestion platform built for financial and data teams. With our Vindi connector, you can automatically sync transactions, subscriptions, charges, and refunds to Azure Synapse — delivering audit-ready, reliable, and always up-to-date financial data.

Why data teams choose Erathos for Vindi

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 Vindi to their data warehouse — with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos syncs Vindi transactions, subscriptions, charges, refunds, plans, and customer data directly into Azure Synapse. Webhook events like approved payments, failed attempts, and chargebacks are also captured automatically.

You can configure the sync frequency at the table level, ranging from every 5 minutes to daily. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Vindi pipeline efficient and Azure Synapse 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 Vindi to Azure Synapse and start syncing immediately — no credit card required.

Data ingestion with control, observability and scale