---
title: "ClickHouse® + NATS — 3 Ways to Connect in 2026"
excerpt: "Turn NATS streams into ClickHouse® analytics and APIs. Tinybird, self-managed engine, or custom—minimal ops, same outcome."
authors: "Tinybird"
categories: "AI Resources"
createdOn: "2026-02-19 00:00:00"
publishedOn: "2026-02-19 00:00:00"
updatedOn: "2026-02-19 00:00:00"
status: "published"
---

These are the main options for a **ClickHouse® integration NATS** pipeline:

1. [Tinybird](https://www.tinybird.co/)
2. Self-managed ClickHouse® (NATS table engine)
3. Custom consumer or ETL service

**NATS** is a **lightweight messaging system** built for **low latency** and simplicity; **JetStream** adds persistence and replay. Connecting NATS messages to ClickHouse® gives you **analytical queries** and **real-time dashboards** over event data. A **ClickHouse® integration NATS** setup lets you **get NATS data into ClickHouse®** for [real-time analytics](https://www.tinybird.co/blog/real-time-analytics-a-definitive-guide) and reporting.

Below we outline the **three ways to implement ClickHouse® integration NATS**, then add context on NATS, ClickHouse®, and how to choose.

## **Three ways to implement ClickHouse® integration NATS**

This section is the core: the three options to **connect NATS to ClickHouse®**, in order.

**Tinybird** has no native NATS connector; your **application** (or a small bridge service) **consumes messages from NATS** (core or JetStream) and sends them to Tinybird via the **Events API** (HTTP). Tinybird stores events in ClickHouse®-backed data sources and you publish **Pipes** as REST APIs. No NATS engine to run or tune.

**Self-managed ClickHouse®** can use the **NATS table engine** (`ENGINE = NATS`): you set `nats_url`, `nats_subjects`, `nats_format` (e.g. JSONEachRow), and for JetStream optionally `nats_stream` and `nats_consumer`. A **materialized view** copies from this engine table into a MergeTree table. Native and direct, but you operate and tune ClickHouse® yourself.

**Custom consumer or ETL**: a dedicated service consumes from NATS and writes into ClickHouse® via HTTP insert or the native protocol (or forwards to Tinybird Events API). You build and operate the consumer; useful when you need custom routing or transformation before load.

**Looking for a ClickHouse® integration NATS with minimal ops and instant APIs?**

Tinybird gives you **managed ClickHouse®** and **one-click API publishing** from SQL. Your app consumes NATS and posts to the Events API; Tinybird handles storage, scaling, and APIs—no NATS engine or custom ETL to run.

### **1. Tinybird: Events API from your app that consumes NATS**

Tinybird is a **real-time data platform** on ClickHouse®. For **ClickHouse® integration NATS** you keep NATS as the message bus; a **producer-side** or **bridge** component consumes from NATS (subjects or JetStream) and pushes events to Tinybird’s **Events API** (HTTP, NDJSON). Data lands in Tinybird’s ClickHouse®-backed data sources; you define **Pipes** (SQL) and publish them as REST endpoints.

No NATS table engine, no ClickHouse® cluster to run. You own only the **connect NATS to ClickHouse®** path in your app (e.g. a small service that subscribes to subjects and POSTs to Tinybird). [Real-time data ingestion](https://www.tinybird.co/blog/real-time-data-ingestion) and [real-time dashboards](https://www.tinybird.co/blog/real-time-dashboards-are-they-worth-it) are handled by Tinybird.

**When Tinybird fits:** you want **getting NATS data into ClickHouse®** without operating the NATS engine or a heavy ETL; you need APIs and dashboards from the same data; you prefer a **NATS to ClickHouse® pipeline** that is mostly “app + Tinybird.”

### **2. Self-managed ClickHouse® (NATS table engine)**

ClickHouse® (self-managed) supports a **NATS table engine**. You create a table with `ENGINE = NATS` and settings such as `nats_url`, `nats_subjects`, `nats_format` (e.g. JSONEachRow), and optional credentials and queue group. For **JetStream** you can set `nats_stream` and `nats_consumer` to use a durable pull consumer. A **materialized view** copies from this engine table into a **MergeTree** table for persistent storage.

Messages are consumed directly by ClickHouse®; ingestion and query workload share the same cluster. You tune `nats_num_consumers`, `nats_flush_interval_ms`, and parts management. Error handling can use `nats_handle_error_mode` (e.g. stream). This is the **native NATS ClickHouse® integration** when you run ClickHouse® yourself.

**When it fits:** you already operate ClickHouse® and NATS and want a **NATS to ClickHouse®** path with no extra services; you have capacity to tune and monitor the engine.

### **3. Custom consumer or ETL service**

A **custom consumer** or ETL job reads from NATS (core or JetStream via a client library) and writes into ClickHouse® (HTTP insert, native protocol) or into Tinybird (Events API). You control format, batching, retries, and schema mapping. Useful when you need custom logic, multi-destination routing, or integration with systems that don’t support the NATS engine.

**When it fits:** you need a **ClickHouse® integration NATS** with custom transformation or routing, or you already have an ETL framework and prefer to keep the **connect NATS to ClickHouse®** logic in your own code.

## **What is NATS?**

Understanding NATS helps you plan a **ClickHouse® integration NATS** setup and choose the right path.

### **NATS core and JetStream**

NATS is a **lightweight, high-performance** messaging system: clients publish and subscribe to **subjects** (topic-like); messages are delivered with low latency. **NATS core** is stateless pub/sub; **JetStream** adds **persistent storage**, **replay**, and **at-least-once** delivery. Many teams use NATS for **service-to-service messaging**, **event distribution**, and **streaming** with simpler operations than Kafka.

For a **NATS to ClickHouse®** pipeline, messages on subjects (or in JetStream streams) must be consumed and written into ClickHouse®—either by the **NATS engine** inside ClickHouse®, by your app plus Tinybird Events API, or by a custom consumer.

### **Why NATS and ClickHouse® together**

NATS excels at **low-latency messaging** and **simplicity**; ClickHouse® excels at **analytical queries** over large volumes. A **ClickHouse® integration NATS** lets you **set up ClickHouse® integration NATS** so that event or log data in NATS becomes queryable in ClickHouse® for reporting, [streaming data](https://www.ibm.com/think/topics/streaming-data) analytics, and [low latency](https://www.cisco.com/site/us/en/learn/topics/cloud-networking/what-is-low-latency.html) APIs. You keep NATS for messaging and add ClickHouse® as the analytical sink.

## **Why use ClickHouse® for message and event analytics?**

A **NATS to ClickHouse®** pipeline only makes sense if ClickHouse® is the right analytical store. It is, for high-volume event and log data.

### **ClickHouse® strengths for event streams**

ClickHouse® is a **columnar** OLAP database built for analytical queries. Its **merge-tree** design and **vectorized execution** support **high write throughput** and **sub-second queries** on billions of rows—ideal when messages stream in continuously and you want to query or aggregate them in real time.

[Real-time data ingestion](https://www.tinybird.co/blog/real-time-data-ingestion) into ClickHouse® scales to millions of events per second while keeping queries fast. That’s why **getting NATS data into ClickHouse®** is a common pattern for operational metrics, event analytics, and dashboards.

### **When a NATS ClickHouse® connector or integration is needed**

Teams look for a **NATS ClickHouse® connector** or **ClickHouse® integration NATS** when they already use NATS and want a single analytical store and optional APIs. The “connector” may be the native engine, an app posting to Tinybird, or a custom consumer—depending on who runs the stack and whether you need managed APIs.

## **What does a ClickHouse® integration NATS pipeline look like?**

A clear picture of the **ClickHouse® integration NATS** flow helps you choose among the three options and plan your **NATS to ClickHouse®** setup.

### **The three layers: broker, connector, store**

A **ClickHouse® integration NATS** pipeline has: the **message source** (NATS subjects or JetStream streams), a **connector or ingestion path** that consumes messages and writes into ClickHouse®, and the **ClickHouse®** storage and query layer. Optionally, an **API layer** on top (e.g. Tinybird Pipes) exposes the data as REST endpoints.

Messages flow from producers into NATS; the connector (engine, your app + Events API, or custom consumer) reads and persists into ClickHouse®. From there you run SQL for ad-hoc analysis, BI tools, or published APIs for [real-time dashboards](https://www.tinybird.co/blog/real-time-dashboards-are-they-worth-it).

### **What you need for a ClickHouse® integration NATS setup**

To **set up ClickHouse® integration NATS** you need: NATS **URL** (host:port), **subjects** to subscribe to (or JetStream **stream** and **consumer**), **credentials** if required, and a choice of path (Tinybird Events API from your app, NATS engine, or custom consumer). Format (e.g. JSONEachRow) and schema must match what ClickHouse® or Tinybird expects. No custom code is required for the **connect NATS to ClickHouse®** path when using the NATS table engine; with Tinybird, a small consumer that POSTs to the Events API is enough.

### **NATS to ClickHouse®: one pipeline, three implementation paths**

The **NATS to ClickHouse®** data flow is the same conceptually: messages leave NATS and land in ClickHouse® (or Tinybird’s ClickHouse®). The difference is who operates the connector and whether you get an API layer. Picking the right **ClickHouse® integration NATS** option is about ops, APIs, and control—not changing the pipeline logic.

### **Getting NATS data into ClickHouse® at scale**

For high throughput, a **NATS to ClickHouse®** pipeline benefits from batching and backpressure. With the NATS engine you tune `nats_num_consumers`, `nats_flush_interval_ms`, and MergeTree parts; with Tinybird the Events API and ingestion layer handle batching. Whatever path you choose, **getting NATS data into ClickHouse®** reliably is the goal—then you can focus on schemas, queries, and APIs.

## **Use cases for ClickHouse® integration NATS**

**ClickHouse® integration NATS** fits any use case where you need **message or event data** in NATS to be **queryable** for analytics or APIs.

### **Typical use cases: events, logs, metrics, dashboards**

Typical examples: **application event analytics**, **operational and app metrics**, **log aggregation**, and **real-time dashboards**. In each case, the **NATS to ClickHouse® pipeline** delivers data from your broker into an analytical store you can query with SQL or expose via APIs.

In microservices, IoT, or backend systems, the same pattern applies: publish events to NATS, then **get NATS data into ClickHouse®** for reporting and [low latency](https://www.cisco.com/site/us/en/learn/topics/cloud-networking/what-is-low-latency.html) query serving.

### **When to choose managed vs self-managed ClickHouse® integration NATS**

Choose **Tinybird** (managed) when you want to avoid operating the NATS engine or custom ETL and prefer a **NATS to ClickHouse® pipeline** that is “app + Tinybird.” Choose **self-managed** when you already run ClickHouse® and NATS and want the native engine. Choose a **custom consumer** when you need custom transformation or multi-destination routing. For [cloud computing](https://www.ibm.com/think/topics/cloud-computing) and analytical workloads, managed ingestion and APIs often shorten time-to-production.

## **Decision framework: how to choose your ClickHouse® integration NATS**

Use these criteria to pick among the **best ClickHouse® integration NATS options** for your team.

### **Outcome: data in ClickHouse® only, or APIs too?**

Do you only need **NATS data in ClickHouse®** for ad-hoc SQL or BI, or **APIs and low-latency query serving**? For the latter, a platform that adds an API layer (e.g. Tinybird) usually wins. If you only need **getting NATS data into ClickHouse®** for internal use, the NATS engine or a custom consumer may be enough.

### **Operational capacity and cost**

**Self-managed** NATS engine requires tuning and monitoring; **Tinybird** removes cluster and connector ops and adds API publishing; **custom consumer** means you build and run the **connect NATS to ClickHouse®** logic. Include engineering time in cost; managed options often have lower total cost when you value ops.

### **Compatibility and lock-in**

NATS uses its own protocol; ClickHouse®’s NATS engine and any consumer that can read NATS and write to ClickHouse® (or Tinybird) work. You’re not locked into a vendor protocol. Choose by who runs the pipeline and what you get on top (APIs, observability, support).

## **Why Tinybird is a strong ClickHouse® integration NATS option**

For a **managed ClickHouse® integration NATS** with minimal ops and APIs from the same stack, Tinybird is a strong option.

### **Single platform to connect NATS to ClickHouse®**

Your app (or bridge) consumes from NATS and posts to the **Events API**; Tinybird stores data in **managed ClickHouse®** and you publish **Pipes** as REST endpoints. No NATS engine to run, no cluster to tune. You configure the **NATS to ClickHouse®** path once in your app; Tinybird handles scaling, storage, and APIs.

**ClickHouse® integration NATS** on Tinybird can be live quickly: add a consumer that POSTs to the Events API, define Pipes, publish endpoints. For teams shipping real-time dashboards or embedded analytics, that speed matters.

### **Bottom line on the best ClickHouse® integration NATS options**

**Bottom line:** The **best ClickHouse® integration NATS options** are Tinybird (app + Events API, managed ClickHouse® + APIs), self-managed ClickHouse® (NATS table engine), or a custom consumer/ETL. Shortest path to production APIs with minimal ops is Tinybird; if you only need data in ClickHouse® and will build your own access layer, the NATS engine or custom consumer can be enough.

**Ready to connect NATS to ClickHouse® and expose real-time APIs?** Try Tinybird free: add a small consumer that reads from NATS and posts to the Events API, then publish SQL as REST endpoints in minutes.

## **Frequently Asked Questions (FAQs)**

### **What is ClickHouse® integration NATS?**

**ClickHouse® integration NATS** is the practice of consuming message or event data from NATS (core or JetStream) and writing it into ClickHouse® for storage and analytics. The path can be the **NATS table engine** in ClickHouse®, your app plus Tinybird Events API, or a custom consumer. The term covers the full pipeline: NATS as source, a connector or app, and ClickHouse® as the analytical store.

### **Does Tinybird have a NATS connector?**

Tinybird does not have a **native NATS connector**. You **connect NATS to ClickHouse®** via Tinybird by having your application (or a bridge service) consume messages from NATS and send them to Tinybird’s **Events API** (HTTP). Tinybird then stores the data in ClickHouse®-backed data sources and you can expose it via Pipes and APIs.

### **How does the ClickHouse® NATS engine work?**

ClickHouse® (self-managed) provides a **NATS table engine** (`ENGINE = NATS`). You configure `nats_url`, `nats_subjects`, `nats_format` (e.g. JSONEachRow), and optional credentials and queue group; for JetStream you can set `nats_stream` and `nats_consumer`. A **materialized view** copies from this engine table into a MergeTree table. ClickHouse® consumes messages from NATS directly; ingestion and queries share the same cluster. This is the **native NATS ClickHouse® integration** when you run ClickHouse® yourself.

### **What are the main options for ClickHouse® integration NATS?**

**(1) Tinybird**—your app consumes from NATS and posts to the Events API; Tinybird provides managed ClickHouse® and API publishing. **(2) Self-managed ClickHouse®**—use the NATS table engine plus materialized view. **(3) Custom consumer or ETL**—a service reads from NATS and writes to ClickHouse® (or Tinybird). Choice depends on who runs the pipeline and whether you need APIs from the same platform.

### **Can I connect NATS to ClickHouse® Cloud?**

ClickHouse® Cloud’s **ClickPipes** does not currently list NATS as a supported source. To **connect NATS to ClickHouse®** when using ClickHouse® Cloud you can: (1) use a custom consumer that writes to ClickHouse® Cloud via HTTP or native protocol, or (2) have your app consume from NATS and send to Tinybird Events API (Tinybird uses ClickHouse® under the hood). For self-managed ClickHouse®, the **NATS table engine** is available.

### **When should I use Tinybird vs the NATS engine for ClickHouse® integration NATS?**

Use **Tinybird** when you want **getting NATS data into ClickHouse®** without operating the NATS engine and need APIs or dashboards from the same platform. Use the **NATS table engine** when you already run ClickHouse® and NATS and want a single, native **NATS to ClickHouse®** path with full control. Tinybird when time-to-value and built-in APIs matter; the engine when you need minimal moving parts and have ops capacity.