PloomesPostgreSQL

Ploomes + PostgreSQL

Ploomes CRM is a Brazilian sales operations platform that organizes sales pipelines, proposals, and customer relationships. PostgreSQL, in turn, is an open-source relational database management system that is highly robust and scalable. It supports a wide range of data types and advanced features.

With Erathos, you can integrate data from Ploomes into PostgreSQL in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your Data Warehouse. That way, your team can focus on what truly creates value — delivering insights and making more data-driven decisions.

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Brick
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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 Ploomes data does Erathos sync to PostgreSQL?

The integration automatically syncs the main Ploomes objects:

  • Contacts — emails, lifecycle stages, and custom properties
  • Companies — firmographic data, industry, and activity history
  • Deals — pipeline stages, amounts, and close dates
  • Activities — calls, meetings, tasks, and sales team notes
  • Interaction history — emails, calls, and engagement records
  • Custom fields — properties created by your team, included automatically

Why sync Ploomes with PostgreSQL?

The native Ploomes reports are useful for day-to-day work, but they have clear limits. Moving the data into PostgreSQL lets you combine it with other sources — product usage, financial data, ad spend, customer support — to answer questions Ploomes alone can't: true acquisition cost, full-funnel conversion rate, and retention by cohort and campaign.

How it works

Erathos connects to Ploomes via the official API and syncs data incrementally — only new or updated records are processed on each run, keeping pipelines fast and PostgreSQL costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is logged with full observability: runtime, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.

Why Companies Move Data from Ploomes to PostgreSQL with Erathos

Centralizing Ploomes data in PostgreSQL has never been easier

Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the Ploomes connector, you automatically sync contacts, deals, companies, and sales activities into PostgreSQL — with full observability into every run and zero maintenance.

Why do data teams choose Erathos for Ploomes?

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

Erathos syncs Ploomes’ core objects: Contacts, Companies, Deals, Activities, Tasks, and Interaction History. Custom fields created by your team are also supported and are automatically available in PostgreSQL.

You can configure sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Ploomes pipeline efficient and PostgreSQL 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 Ploomes to PostgreSQL and start syncing right away — no credit card required.

Data ingestion with control, observability and scale