DelightedPostgreSQL

Delighted + PostgreSQL

Delighted is a customer feedback platform that allows companies to collect and analyze customer opinions effectively. Amazon Redshift, on the other hand, is a cloud data warehouse designed for fast and efficient analysis of large volumes of data.

With Erathos, your Delighted data lands in PostgreSQL as a reliable operational source, ready to power internal applications or reports using standard SQL, without manual sync scripts.

Get started

No credit card required. Upgrade whenever you want.

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 Delighted data does Erathos sync to Redshift?

The integration automatically syncs key Delighted objects:

  • Events: all tracked events with custom properties
  • Sessions: source, duration, device, and behavioral data
  • Users: profiles, properties, and activity history
  • Conversion funnels: stages, drop-offs, and rates by segment
  • Cohorts: retention and engagement over time
  • Custom properties: event properties and user properties defined by your team

Why sync Delighted with PostgreSQL?

In PostgreSQL, your Delighted data is available as a reliable operational source, ready to power internal applications or analyses using standard SQL.

How it works

Erathos connects to Delighted via official API and syncs your data incrementally: only new or updated records are processed in 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 target dataset. Each run is recorded with full observability: runtime, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

Why Companies Move Data from Delighted to PostgreSQL with Erathos

Centralizing Delighted data in PostgreSQL has never been easier

Erathos is a data ingestion platform built for product and analytics teams. With the Delighted connector, you can automatically export events, product metrics, and conversion funnels to PostgreSQL—keeping your data always fresh for analysis, without manual engineering.

Why do data teams choose Erathos for Delighted?

Data in your data warehouse in minutes

No credit card required. Upgrade whenever you want.
Our partners

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
Explore

Other paths for your data

Other sources that land in PostgreSQL

CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.

See every source
FAQ

Frequently Asked Questions

Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Delighted to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.

Erathos syncs Events, Sessions, Users, Conversion Funnels, and Product Metrics from Delighted to PostgreSQL. Custom event properties and user properties are automatically exported along with each record.

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

Yes. Every Erathos connector includes a 14-day free trial. Connect Delighted to PostgreSQL and start syncing immediately—no credit card required.

Data ingestion with control, observability and scale