Easily sync data from Qdrant to DuckDB, explore your data with the rich Data Explorer and transform your Qdrant data with Magical SQL.
DuckDB is a cloud data warehouse used as a central destination for analytical workloads, separating storage from compute for scalable performance. It supports SQL-native exploration of large datasets and is the standard target for unified analytics. Peliqan loads DuckDB from upstream business applications through managed ELT connectors with incremental syncs and schema management.

Qdrant is a cloud data warehouse used as a central destination for analytical workloads, separating storage from compute for scalable performance. It supports SQL-native exploration of large datasets and is the standard target for unified analytics. Peliqan loads Qdrant from upstream business applications through managed ELT connectors with incremental syncs and schema management.
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 Qdrant data into DuckDB 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 Qdrant data flows into DuckDB 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 DuckDB.
Combine Qdrant with 250+ other data sources in DuckDB. Create unified datasets for analytics, reporting and machine learning – all in your centralized warehouse.
Run custom Python or SQL transformations on your Qdrant data before loading into DuckDB. Perfect for data checks, business logic, and complex transformations.
After processing your data in DuckDB, sync enriched data back to Qdrant or other systems (writeback). Complete the loop with bidirectional sync.
Authenticate your source (Qdrant)
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 Qdrant to DuckDB using incremental loading strategies.
Automatically handle schema changes in Qdrant – new fields, renamed columns, and type changes are detected and propagated to DuckDB.
Built-in data quality checks ensure clean data in DuckDB. 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 DuckDB-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 DuckDB 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 Qdrant and unify the data, or you can customize field mappings for each connection.
You control the sync frequency. Choose from near real-time updates, every 15 minutes, hourly, daily, or custom schedules. Near real-time sync is available for most object types.
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
Our professional services team can build custom connectors and integrations. We also offer a 48-hour SLA for new connector development or you can build your own custom pipelines.
Connect Qdrant to DuckDB in minutes, and build the reports and dashboards your team actually needs.