# Ploomes + Amazon S3

> Store data as Parquet in S3 and Iceberg with Erathos. Sync Ploomes data with Erathos — an incremental, no-code pipeline with observability.

Source: https://www.erathos.com/en/pipelines/ploomes-amazon-s3
Em português: https://www.erathos.com/pipelines/ploomes-amazon-s3

Ploomes CRM is a Brazilian sales management platform that organizes the sales pipeline, proposals, and customer relationships. With **Erathos**, companies using Ploomes can centralize this data with information from other systems, automate reports in BI tools, and get a unified view of the sales pipeline alongside financial, marketing, and support data. This eliminates manual work, increases the reliability of analytics, and speeds up decision-making, making the sales process more efficient and scalable.

With Erathos, you can integrate Ploomes data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process into your data lake and lets that data be combined with other sources. That way, your time goes toward what really creates value — extracting insights and making data-driven decisions.

### Which Ploomes data does Erathos sync to Amazon S3?

The integration automatically syncs Ploomes’s main objects:

- **Contacts and leads** — name, email, phone, stage, and owner
- **Deals and opportunities** — value, probability, stage, and close date
- **Activities** — calls, emails, meetings, and tasks with timestamps
- **Companies** — master data and relationships with contacts
- **Pipelines** — stage configuration and movement history
- **Users** — team members, profiles, and activity metrics

### Why sync Ploomes with Amazon S3?

In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archiving and ML feature stores.

### How it works

Erathos connects to Ploomes via 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 Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the destination bucket. Each run is logged with full observability: execution time, processed rows, errors with context, and alerts via Slack or email.

## Ploomes data in Amazon S3 in minutes

### Ploomes connector ready to use

Connect Ploomes to Amazon S3 and automatically export data. Centralize CRM data for analysis — no spreadsheets, no scripts.

### Full control over your Ploomes pipelines

Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.

### End-to-end observability

Stop finding out about Ploomes failures only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off track — so your analytics always have fresh data.

## Centralizing Ploomes data in Amazon S3 has never been easier

Erathos is a data ingestion platform built for sales and data teams. With the Ploomes connector, you automatically centralize opportunities, quotes, and CRM data in Amazon S3 — always up-to-date data, full observability into every run, and no maintenance.

## FAQ

### What is Erathos, and how can it help my business?

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 typical of legacy data tools.

### What Ploomes data does Erathos sync to Amazon S3?

With Erathos’ integration with Ploomes, you can sync contacts, deals, activities, interaction history, sales pipelines, and more. Data is extracted incrementally, ensuring your data warehouse is always up to date.

### How often does Erathos sync data from Ploomes to Amazon S3?

You can set the sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Ploomes pipeline efficient and Amazon S3 costs predictable.

### What happens if a Ploomes sync fails?

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.

### Is there a free trial period for the Ploomes connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Ploomes to Amazon S3 and start syncing right away — no credit card required.