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

Qonic 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 Qonic connector that syncs projects, tasks, and team data into your warehouse for delivery analytics and capacity planning.
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.
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.
Sync Qonic data into Snowflake with a few clicks. Or choose any other data warehouse or database as a destination.
Deploy production-ready ELT pipelines with automatic schema detection and incremental updates. Your Qonic data flows into Snowflake continuously.
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.
Combine Qonic with 250+ other data sources in Snowflake. Create unified datasets for analytics, reporting and machine learning – all in your centralized warehouse.
Run custom Python or SQL transformations on your Qonic data before loading into Snowflake. Perfect for data checks, business logic, and complex transformations.
After processing your data in Snowflake, sync enriched data back to Qonic or other systems (writeback). Complete the loop with bidirectional sync.
Authenticate your source (Qonic)
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).
A cloud data platform designed for the systems and workflows modern data and business teams use every day.
Efficiently sync only new & changed records from Qonic to Snowflake using incremental loading strategies.
Automatically handle schema changes in Qonic – new fields, renamed columns, and type changes are detected and propagated to Snowflake.
Built-in data quality checks ensure clean data in Snowflake. Set validation rules, detect anomalies, and get alerts for data quality issues.
Schedule complex workflows, dependencies, and multi-step pipelines. Use built-in orchestration capabilities.
Leverage Snowflake-specific features like partitioning, clustering, and materialized views for optimal query performance.
REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.
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.
Send data out
Sync your Qonic data into these databases and warehouses.
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Yes, you can connect multiple instances of Qonic 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.
Connect Qonic to Snowflake in minutes, and build the reports and dashboards your team actually needs.