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Peliqan

One-click data pipelines for Docebo to Snowflake

Easily sync data from Docebo to Snowflake, explore your data with the rich Data Explorer and transform your Docebo data with SQL.

Docebo
Snowflake


Docebo

Docebo is a productivity and collaboration platform centralizing project management, documents, and team workflows. Native reporting covers project basics but cannot join task data with finance or operational systems without a warehouse. Peliqan provides a managed Docebo connector that syncs projects, tasks, and team data into your warehouse for delivery analytics and capacity planning.


Snowflake

Snowflake is a cloud-native data warehouse that separates storage from compute, letting teams scale either independently. It handles structured and semi-structured data with sub-second SQL queries. Peliqan removes the engineering overhead of building ELT pipelines into Snowflake, syncing business application data automatically with managed connectors and incremental updates.

Common Docebo to Snowflake use cases

Project delivery and capacity reporting
Cross-team workload visibility
Time tracking and billable hours analysis
Document and meeting volume metrics
Joining Docebo with finance and HR data
Engineering and product velocity dashboards

Instant ELT pipeline & data warehouse loading

Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.

Built-in Data Warehouse

Direct-to-warehouse sync

Sync Docebo data into Snowflake with a few clicks. Or choose any other data warehouse or database as a destination.

One-Click BI Integration

One-click pipeline setup

Deploy production-ready ELT pipelines with automatic schema detection and incremental updates. Your Docebo data flows into Snowflake continuously.

AI-Powered SQL Analytics

AI-driven data management

Transform your data during sync with SQL or Python. Use AI to generate transformation logic from plain-English descriptions – clean, validate and enrich data before it lands in Snowflake.

RAG & AI Agents

Multi-source integration

Combine Docebo with 250+ other data sources in Snowflake. Create unified datasets for analytics, reporting and machine learning – all in your centralized warehouse.

Python Data Apps

Python & SQL processing

Run custom Python or SQL transformations on your Docebo data before loading into Snowflake. Perfect for data checks, business logic, and complex transformations.

Data Sync & Activation

Reverse ETL & orchestration

After processing your data in Snowflake, sync enriched data back to Docebo or other systems (writeback). Complete the loop with bidirectional sync.

How to connect Docebo and Snowflake

1. Connect in 30 Seconds

Authenticate your source (Docebo)
via OAuth or API key – no complex setup.

Your data appears in the Peliqan data warehouse with automatic schema detection and optimization for analytics.

Or bring your own data warehouse (Snowflake, Redshift, Bigquery, Clickhouse, Fabric).

Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.

Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.

Turn on AI Agents (RAG and text-to-SQL) to answer business queries, generate SQL, or trigger downstream actions (e.g., create a CRM task).

Connect in 30 Seconds

Data Flows Automatically

Query & Analyze

Activate Insights

Beyond simple sync

A cloud data platform designed for the systems and workflows modern data and business teams use every day.

Incremental pipelines

Efficiently sync only new & changed records from Docebo to Snowflake using incremental loading strategies.

Schema evolution management

Automatically handle schema changes in Docebo – new fields, renamed columns, and type changes are detected and propagated to Snowflake.

Data quality & validation

Built-in data quality checks ensure clean data in Snowflake. Set validation rules, detect anomalies, and get alerts for data quality issues.

Enterprise orchestration

Schedule complex workflows, dependencies, and multi-step pipelines. Use built-in orchestration capabilities.

Warehouse-native optimization

Leverage Snowflake-specific features like partitioning, clustering, and materialized views for optimal query performance.

Developer platform

REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.

Technical Specifications

Peliqan provides a high-performance ELT engine optimized for modern cloud data warehouses.
Load, transform and orchestrate data reliably with warehouse-native speed and security.

Supported Data Types

Supported Data Types

Performance & scale

Performance & scale

Security features

Security features

More destinations for Docebo

Send data out

Sync your Docebo data into these databases and warehouses.

Docebo

MongoDB

MongoDB

Docebo

Postgres

Postgres

Docebo

MS SQL Server

MS SQL Server

Docebo

Elastic Search

Elastic Search

Docebo

MySQL

MySQL

Docebo

Qdrant

Qdrant

More sources for Snowflake

Bring data in

Sync data from these business apps into Snowflake dashboards.

Snowflake

Tally

Tally

Snowflake

Customer.io

Customer.io

Snowflake

HubSpot

HubSpot

Snowflake

Pipedrive

Pipedrive

Snowflake

Salesforce

Salesforce

Snowflake

Voucherify

Voucherify

SaaS Data Cockpit

Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.

Built with enterprise-grade security and compliance.

SOC 2 Type II
GDPR-compliant
HIPAA compliant
ISO 27001

G2 Badges 2026

Frequently asked questions

Yes, you can connect multiple instances of Docebo and unify the data, or you can customize field mappings for each connection.

You control the sync frequency: as often as every 15 minutes on the Pro plan, or hourly, daily and custom schedules. Some source systems set their own limits – Exact Online, for example, defaults to every 6 hours.

Yes. Transform data with SQL or low-code Python before or after it lands in the warehouse. You can clean fields, join across sources and reshape tables without touching the source system.

Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.

Our team builds custom connectors, typically within 2 weeks. You can also build your own pipelines with low-code Python.

Ready to get instant access to all your company data ?

Connect Docebo to Snowflake in minutes, and build the reports and dashboards your team actually needs.