Is Definite a data warehouse for my ClickHouse data?

Yes. Definite is your complete data warehouse for ClickHouse data—no need to pay for Snowflake, BigQuery, or Databricks. Definite syncs your data into secure, managed infrastructure, powered by DuckDB for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2–compliant data residency options—all without the overhead or complexity of running a separate warehouse.

Can I analyze my ClickHouse data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools — from app databases and CRMs to marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports over 500+ data sources, with options for daily, hourly, or near real-time. Definite makes analysis easy. You can select metrics and dimensions from your ClickHouse data alongside other sources to explore insights, build dashboards, and share results — no SQL needed (unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect ClickHouse data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes — turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights — everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

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← All connectors/Data Warehouse

§ Connector

ClickHouse

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§ Live with

§ What you get

Everything ClickHouse exposes, modeled and queryable.

ClickHouse is a column-oriented OLAP database, and tap-clickhouse replicates its tables into your warehouse by reflecting the schema dynamically rather than pulling fixed business objects. It discovers every user table across non-system databases and supports both full-table and incremental sync on a monotonic key.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

Standard

Row-level security

Yes

Tables & streams

2 objects

◆User Tables

All user-defined tables across non-system ClickHouse databases, discovered automatically through SQLAlchemy reflection (system, information_schema, and INFORMATION_SCHEMA databases are excluded). Each table becomes a stream with columns mapped to JSON Schema types, including ClickHouse-specific handling for Enum, Nullable, LowCardinality, and DateTime64 columns. Lets you replicate whatever analytical or event data you already store in ClickHouse for downstream modeling and reporting.

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◆Incremental Table Sync

Per-table incremental replication driven by a monotonic replication key such as updated_at or created_at, with records ordered by that key and filtered against the stored bookmark so only new or changed rows are pulled on each run. Full-table sync is used when no incremental key is configured. Keeps large ClickHouse tables synced efficiently for ongoing analytics without re-reading the full dataset each time.

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§ How it works