Gainsight CSAzure SQL Server
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Gainsight CS + Azure SQL Server

Gainsight's Customer Success product is a customer journey and success management solution that helps retain and engage users. Azure SQL Server, on the other hand, is a serverless Big Data solution developed by Google that provides robust capabilities for large-scale data storage and analytics.

With Erathos, you can integrate Gainsight CS data into Azure SQL Server in just a few minutes. Our platform handles the entire data pipeline to your analytics environment, allowing you to blend this data with other sources in your Data Warehouse. This frees up your time to focus on what actually drives value — extracting valuable insights and making more data-driven decisions.

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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 Gainsight CS data does Erathos sync with Azure SQL Server?

The integration automatically syncs key Gainsight CS objects:

  • Customer Health (Health Score) — current score and historical trend
  • NPS — responses, detractors, passives, and promoters
  • Product Usage — features used, frequency, and engagement
  • Churn Risks — alerts, signals, and actions taken
  • Segments — classification and customer segmentation criteria
  • Interactions — meetings, QBRs, and CS contact history

Why sync Gainsight CS with Azure SQL Server?

In Azure SQL Server, you integrate Gainsight CS data into the Microsoft ecosystem, leveraging Power BI for executive dashboards and Azure Data Factory to orchestrate broader pipelines.

How it works

Erathos connects to Gainsight CS via their official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Azure SQL Server 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, contextual errors, and instant alerts via Slack or email if anything goes wrong.

Why companies move data from Gainsight CS to Azure SQL Server with Erathos

Centralizing Gainsight CS data into Azure SQL Server has never been easier

Erathos is a data ingestion platform built for customer success and data teams. With our Gainsight CS connector, you can automatically sync customer health, NPS, usage, and churn data into Azure SQL Server — with full observability for every run and smart alerts.

Why do data teams choose Erathos for Gainsight CS?

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

Erathos syncs customer Health, NPS, Product Usage, Segments, Churn Risks, and Gainsight CS Interactions directly to Azure SQL Server. Engagement scores and metrics are also exported automatically.

You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental syncs — only new or updated records are processed in each run, keeping your Gainsight CS pipeline efficient and your Azure SQL Server 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 comes with a 14-day free trial. Connect Gainsight CS to Azure SQL Server and start syncing immediately — no credit card required.

Data ingestion with control, observability and scale