One-click data pipelines for DuckDB to Redis
Easily sync data from DuckDB to Redis, explore your data with the rich Data Explorer and transform your DuckDB data with SQL.
- 5-minute setup
- GDPR compliant, EU-hosted
- SOC 2 Type II certified
DuckDB to Redis, end to end
Redis
Redis is an in-memory key-value store used for caching, queues and low-latency lookups, not for analytical queries over history. Teams use it to serve computed values quickly, which means something upstream has to produce and refresh those values. Peliqan maintains them from 300+ business applications, syncing to Redis on a schedule as the source records change.
DuckDB
DuckDB is an in-process analytical database that runs inside your application or notebook rather than as a server, reading Parquet and CSV files directly at high speed. It is built for single-node analytics, so the dataset still has to be assembled and kept current from somewhere upstream. Peliqan produces that dataset from 300+ business applications, with incremental syncs and automatic schema handling so DuckDB always reads current tables.
Common Redis to DuckDB use cases
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.
Direct-to-warehouse sync
Sync DuckDB data into Redis in a few clicks. Want another target? Point the same pipeline at Peliqan’s built-in warehouse or any database you run.
One-click pipeline setup
Set up a production-ready ELT pipeline in just minutes. DuckDB data lands in Redis with schema detection, incremental syncs from every 15 minutes.
AI-driven data management
Transform DuckDB data in Redis using SQL or low-code Python. Describe the logic in plain English, let AI draft it, then clean, validate and enrich.
Multi-source integration
Combine DuckDB with any of Peliqan’s 300+ connectors inside Redis. Build unified data sets for analytics, reporting and AI in one place, not five tools.
Python & SQL processing
Write your own Python or SQL when you need control. Schedule scripts, enforce business rules and publish Streamlit data apps on DuckDB data in Redis.
Reverse ETL & orchestration
Push enriched Redis data back into the apps your teams use, then run the whole flow on a schedule with built-in orchestration, dependencies and alerts.
How to connect DuckDB and Redis
1. Connect in 30 Seconds
Authenticate your source (DuckDB)
via OAuth or API key – no complex setup.
2. Data Flows Automatically
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).
3. Query & Analyze
Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.
4. Activate Insights
Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.
5. Enable AI Agents
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).
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 DuckDB to Redis using incremental loading strategies.
Schema evolution management
Automatically handle schema changes in DuckDB – new fields, renamed columns, and type changes are detected and propagated to Redis.
Data quality & validation
Built-in data quality checks ensure clean data in Redis. 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
Loads are tuned to Redis using its native bulk-load path for optimal query performance.
Developer platform
REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.
What Peliqan syncs from DuckDB
Peliqan loads your DuckDB data into Redis as analytics-ready tables you can query with SQL. Schema changes are handled automatically.
Peliqan syncs the tables you already have in Redis into DuckDB. There is no fixed list – you choose which tables to sync, and Peliqan keeps them up to date.
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
- Protocols – REST, SOAP, SFTP, ODBC, JDBC etc.
- Support for staging tables, external tables & native ingestion formats
- Automatic schema evolution and change detection
Performance & scale
- Handles millions of records with distributed processing
- Near real-time data sync for most object types
- 99.9% uptime SLA with redundant infrastructure
Security features
- End-to-end encryption in transit and at rest
- VPN tunnel support and on-premises agents
- Enterprise SSO integration available
More destinations for Redis
Send data out
Sync your Redis data into these databases and warehouses.
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.
Frequently asked questions
Can I connect multiple DuckDB instances?
Yes, you can connect multiple instances of DuckDB and unify the data, or you can customize field mappings for each connection.
How often does the data sync?
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.
Can I transform data during the sync process?
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.
Is there a limit on data volume?
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
What if I need a custom integration?
Our team builds custom connectors, typically within 2 weeks. You can also build your own pipelines with low-code Python.
Ready to run DuckDB reports on live data in Redis?
Connect DuckDB to Redis in minutes, and build the reports and dashboards your team actually needs.