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Peliqan

One-click data pipelines for Twinfield to ClickHouse

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

Twinfield
ClickHouse


Twinfield

Twinfield is a Dutch online bookkeeping platform owned by Wolters Kluwer, widely used by accounting firms across the Netherlands and Belgium. Its native reporting covers individual entities but accounting firms managing portfolios need consolidated views. Peliqan provides a managed Twinfield connector that syncs ledger entries and transactions for multi-client reporting and finance dashboards.


ClickHouse

ClickHouse is a high-performance columnar database built for real-time analytics on massive datasets. Originally developed at Yandex, it powers low-latency queries across billions of rows for product analytics and observability. Peliqan provides managed ELT connectors that sync directly into ClickHouse, handling schema mapping, deduplication, and incremental loads without writing Kafka pipelines.

Common Twinfield to ClickHouse use cases

Centralizing Twinfield data for analytics
Joining Twinfield with other operational systems
Building a single source of truth in ClickHouse
Real-time reporting on Twinfield activity
AI and ML on Twinfield historical data
Reverse ETL from ClickHouse back into Twinfield

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 Twinfield data into ClickHouse 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 Twinfield data flows into ClickHouse 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 ClickHouse.

RAG & AI Agents

Multi-source integration

Combine Twinfield with 250+ other data sources in ClickHouse. 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 Twinfield data before loading into ClickHouse. Perfect for data checks, business logic, and complex transformations.

Data Sync & Activation

Reverse ETL & orchestration

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

How to connect Twinfield and ClickHouse

1. Connect in 30 Seconds

Authenticate your source (Twinfield)
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 Twinfield to ClickHouse using incremental loading strategies.

Schema evolution management

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

Data quality & validation

Built-in data quality checks ensure clean data in ClickHouse. 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 ClickHouse-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 Twinfield

Send data out

Sync your Twinfield data into these databases and warehouses.

Twinfield

MongoDB

MongoDB

Twinfield

Postgres

Postgres

Twinfield

MS SQL Server

MS SQL Server

Twinfield

Elastic Search

Elastic Search

Twinfield

MySQL

MySQL

Twinfield

Qdrant

Qdrant

More sources for ClickHouse

Bring data in

Sync data from these business apps into ClickHouse dashboards.

ClickHouse

Tally

Tally

ClickHouse

Customer.io

Customer.io

ClickHouse

HubSpot

HubSpot

ClickHouse

Pipedrive

Pipedrive

ClickHouse

Salesforce

Salesforce

ClickHouse

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 Twinfield 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 Twinfield to ClickHouse in minutes, and build the reports and dashboards your team actually needs.