Integration

Integration

Connect with MYSQL

Bring your raw data into Arvat for unified intelligence.

Why connect MySQL with Arvat?

Pull raw data from your MySQL databases into Arvat to build unified account profiles, power health scoring, and generate revenue insights—without manual ETL.

Centralized Data Hub: Combine customer, billing, and product usage data in one place.

Centralized Data Hub: Combine customer, billing, and product usage data in one place.

Real-time Visibility: RevOps and Founders see live revenue and usage KPIs per account.

Real-time Visibility: RevOps and Founders see live revenue and usage KPIs per account.

Data-Driven Playbooks: Trigger CSM or AE workflows when custom thresholds (e.g., dropped MRR) are hit.

Data-Driven Playbooks: Trigger CSM or AE workflows when custom thresholds (e.g., dropped MRR) are hit.

Use Case

Enable every team to act on SQL data without writing queries themselves.

RevOps alerts automatically fire when MRR dips below a set threshold.

RevOps alerts automatically fire when MRR dips below a set threshold.

CSMs identify at-risk accounts by tracking login counts or failed payments.

CSMs identify at-risk accounts by tracking login counts or failed payments.

AEs prioritize upsell opportunities when usage or purchase volume spikes.

AEs prioritize upsell opportunities when usage or purchase volume spikes.

PMs pull feature adoption metrics into Arvat dashboards for roadmap signals.

PMs pull feature adoption metrics into Arvat dashboards for roadmap signals.

Founders monitor cohort retention trends directly from database events.

Founders monitor cohort retention trends directly from database events.

Features

Purpose-built to turn SQL data into prescriptive insights—no engineers needed to build pipelines.

Secure Read-Only Connection: Connect in minutes via credentials or IAM roles.

Secure Read-Only Connection: Connect in minutes via credentials or IAM roles.

Custom Query Mapping: Define which SQL tables/fields map to Arvat metrics, segments, or custom properties.

Custom Query Mapping: Define which SQL tables/fields map to Arvat metrics, segments, or custom properties.

Scheduled & Real-Time Ingestion: Choose hourly, daily, or event-driven syncs.

Scheduled & Real-Time Ingestion: Choose hourly, daily, or event-driven syncs.

Threshold-Based Alerts: Fire Playbooks when custom query results cross defined thresholds (e.g., low usage, high churn risk).

Threshold-Based Alerts: Fire Playbooks when custom query results cross defined thresholds (e.g., low usage, high churn risk).

Schema Auto-Discovery: Arvat indexes tables and suggests common mappings for customer-centric fields.

Schema Auto-Discovery: Arvat indexes tables and suggests common mappings for customer-centric fields.

Self-Serve SQL Sandbox: PMs and RevOps run ad hoc queries directly in Arvat for one-off analyses.

Self-Serve SQL Sandbox: PMs and RevOps run ad hoc queries directly in Arvat for one-off analyses.