ShoWareAmazon S3

ShoWare + Amazon S3

ShoWare is a ticketing and ticket management platform built for venues, arenas, theaters, and event organizers. Known for its flexibility and reliability, ShoWare provides tools for online and in-person ticket sales, seating management, access control, marketing, and performance reporting. It is used by sports arenas, convention centers, and performance venues that need a complete solution to manage the audience experience from ticket purchase to event entry.

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

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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 ShoWare data does Erathos sync to Amazon S3?

The integration automatically syncs ShoWare's main objects:

  • Campaigns — name, status, channel, start and end dates
  • Leads and contacts — source, stage, and engagement data
  • Performance metrics — impressions, clicks, conversions, and cost per result
  • Lists and segments — composition and segmentation criteria
  • Automations — flows, triggers, and conversion rates
  • Users — profiles, preferences, and interaction history

Why sync ShoWare 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 ShoWare 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), which objects to sync, and the destination in Amazon S3. Sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the destination bucket. Each run is tracked with full observability: runtime, rows processed, errors with context, and alerts via Slack or email.

Why Companies Move Data from ShoWare to Amazon S3 with Erathos

Centralizing ShoWare data in Amazon S3 has never been this simple

Erathos is a data ingestion platform built for operations and data teams. With the ShoWare connector, you automatically centralize operational data and metrics in Amazon S3 — always up-to-date data, full observability into every run, and zero maintenance.

Why do data teams choose Erathos for ShoWare?

ShoWare data in Amazon S3 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 ShoWare to their data warehouse — with full observability into every run, zero maintenance, and none of the black-box opacity of traditional market tools.

Erathos syncs ShoWare event data, ticket sales, customer data, access control data, and box office metrics with your Data Warehouse, incrementally and with no-code.

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 in each run, keeping the ShoWare pipeline efficient and Amazon S3 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 ShoWare to Amazon S3 and start syncing right away — no credit card required.

Data ingestion with control, observability and scale