PricingDocs
Bars

Data Platform

Managed ClickHouse
Production-ready with Tinybird's DX
Streaming ingestion
High-throughput streaming ingest
Schema iteration
Safe migrations with zero downtime
Connectors
Plug and play Kafka, S3, and GCS

Developer Experience

Instant SQL APIs
Turn SQL into an endpoint
BI & Tool Connections
Connect your BI tools and ORMs
Tinybird Code
Ingest and query from your terminal

Enterprise

Tinybird AI
AI resources for LLMs and agents
High availability
Fault-tolerance and auto failovers
Security and compliance
Certified SOC 2 Type II for enterprise
Sign inSign up
Product []

Data Platform

Managed ClickHouse
Production-ready with Tinybird's DX
Streaming ingestion
High-throughput streaming ingest
Schema iteration
Safe migrations with zero downtime
Connectors
Plug and play Kafka, S3, and GCS

Developer Experience

Instant SQL APIs
Turn SQL into an endpoint
BI & Tool Connections
Connect your BI tools and ORMs
Tinybird Code
Ingest and query from your terminal

Enterprise

Tinybird AI
AI resources for LLMs and agents
High availability
Fault-tolerance and auto failovers
Security and compliance
Certified SOC 2 Type II for enterprise
PricingDocs
Resources []

Learn

Blog
Musings on transformations, tables and everything in between
Customer Stories
We help software teams ship features with massive data sets
Videos
Learn how to use Tinybird with our videos
ClickHouse for Developers
Understand ClickHouse with our video series

Build

Templates
Explore our collection of templates
Tinybird Builds
We build stuff live with Tinybird and our partners
Changelog
The latest updates to Tinybird

Community

Slack Community
Join our Slack community to get help and share your ideas
Open Source Program
Get help adding Tinybird to your open source project
Schema > Evolution
Join the most read technical biweekly engineering newsletter

Our Columns:

Skip the infra work. Deploy your first ClickHouse
project now

Get started for freeRead the docs
A geometric decoration with a matrix of rectangles.

Product /

ProductWatch the demoPricingSecurityRequest a demo

Company /

About UsPartnersShopCareers

Features /

Managed ClickHouseStreaming IngestionSchema IterationConnectorsInstant SQL APIsBI & Tool ConnectionsTinybird CodeTinybird AIHigh AvailabilitySecurity & Compliance

Support /

DocsSupportTroubleshootingCommunityChangelog

Resources /

ObservabilityBlogCustomer StoriesTemplatesTinybird BuildsTinybird for StartupsRSS FeedNewsletter

Integrations /

Apache KafkaConfluent CloudRedpandaGoogle BigQuerySnowflakePostgres Table FunctionAmazon DynamoDBAmazon S3

Use Cases /

User-facing dashboardsReal-time Change Data Capture (CDC)Gaming analyticsWeb analyticsReal-time personalizationUser-generated content (UGC) analyticsContent recommendation systemsVector search
All systems operational

Copyright © 2025 Tinybird. All rights reserved

|

Terms & conditionsCookiesTrust CenterCompliance Helpline
Tinybird wordmark
PricingDocs
Bars

Data Platform

Managed ClickHouse
Production-ready with Tinybird's DX
Streaming ingestion
High-throughput streaming ingest
Schema iteration
Safe migrations with zero downtime
Connectors
Plug and play Kafka, S3, and GCS

Developer Experience

Instant SQL APIs
Turn SQL into an endpoint
BI & Tool Connections
Connect your BI tools and ORMs
Tinybird Code
Ingest and query from your terminal

Enterprise

Tinybird AI
AI resources for LLMs and agents
High availability
Fault-tolerance and auto failovers
Security and compliance
Certified SOC 2 Type II for enterprise
Sign inSign up
Product []

Data Platform

Managed ClickHouse
Production-ready with Tinybird's DX
Streaming ingestion
High-throughput streaming ingest
Schema iteration
Safe migrations with zero downtime
Connectors
Plug and play Kafka, S3, and GCS

Developer Experience

Instant SQL APIs
Turn SQL into an endpoint
BI & Tool Connections
Connect your BI tools and ORMs
Tinybird Code
Ingest and query from your terminal

Enterprise

Tinybird AI
AI resources for LLMs and agents
High availability
Fault-tolerance and auto failovers
Security and compliance
Certified SOC 2 Type II for enterprise
PricingDocs
Resources []

Learn

Blog
Musings on transformations, tables and everything in between
Customer Stories
We help software teams ship features with massive data sets
Videos
Learn how to use Tinybird with our videos
ClickHouse for Developers
Understand ClickHouse with our video series

Build

Templates
Explore our collection of templates
Tinybird Builds
We build stuff live with Tinybird and our partners
Changelog
The latest updates to Tinybird

Community

Slack Community
Join our Slack community to get help and share your ideas
Open Source Program
Get help adding Tinybird to your open source project
Schema > Evolution
Join the most read technical biweekly engineering newsletter

Skip the infra work. Deploy your first ClickHouse
project now

Get started for freeRead the docs
A geometric decoration with a matrix of rectangles.

Product /

ProductWatch the demoPricingSecurityRequest a demo

Company /

About UsPartnersShopCareers

Features /

Managed ClickHouseStreaming IngestionSchema IterationConnectorsInstant SQL APIsBI & Tool ConnectionsTinybird CodeTinybird AIHigh AvailabilitySecurity & Compliance

Support /

DocsSupportTroubleshootingCommunityChangelog

Resources /

ObservabilityBlogCustomer StoriesTemplatesTinybird BuildsTinybird for StartupsRSS FeedNewsletter

Integrations /

Apache KafkaConfluent CloudRedpandaGoogle BigQuerySnowflakePostgres Table FunctionAmazon DynamoDBAmazon S3

Use Cases /

User-facing dashboardsReal-time Change Data Capture (CDC)Gaming analyticsWeb analyticsReal-time personalizationUser-generated content (UGC) analyticsContent recommendation systemsVector search
All systems operational

Copyright © 2025 Tinybird. All rights reserved

|

Terms & conditionsCookiesTrust CenterCompliance Helpline
Tinybird wordmark
PricingDocs
Bars

Data Platform

Managed ClickHouse
Production-ready with Tinybird's DX
Streaming ingestion
High-throughput streaming ingest
Schema iteration
Safe migrations with zero downtime
Connectors
Plug and play Kafka, S3, and GCS

Developer Experience

Instant SQL APIs
Turn SQL into an endpoint
BI & Tool Connections
Connect your BI tools and ORMs
Tinybird Code
Ingest and query from your terminal

Enterprise

Tinybird AI
AI resources for LLMs and agents
High availability
Fault-tolerance and auto failovers
Security and compliance
Certified SOC 2 Type II for enterprise
Sign inSign up
Product []

Data Platform

Managed ClickHouse
Production-ready with Tinybird's DX
Streaming ingestion
High-throughput streaming ingest
Schema iteration
Safe migrations with zero downtime
Connectors
Plug and play Kafka, S3, and GCS

Developer Experience

Instant SQL APIs
Turn SQL into an endpoint
BI & Tool Connections
Connect your BI tools and ORMs
Tinybird Code
Ingest and query from your terminal

Enterprise

Tinybird AI
AI resources for LLMs and agents
High availability
Fault-tolerance and auto failovers
Security and compliance
Certified SOC 2 Type II for enterprise
PricingDocs
Resources []

Learn

Blog
Musings on transformations, tables and everything in between
Customer Stories
We help software teams ship features with massive data sets
Videos
Learn how to use Tinybird with our videos
ClickHouse for Developers
Understand ClickHouse with our video series

Build

Templates
Explore our collection of templates
Tinybird Builds
We build stuff live with Tinybird and our partners
Changelog
The latest updates to Tinybird

Community

Slack Community
Join our Slack community to get help and share your ideas
Open Source Program
Get help adding Tinybird to your open source project
Schema > Evolution
Join the most read technical biweekly engineering newsletter
Back to Blog
Share this article:
Back

The power of real-time streaming analytics with Confluent and Tinybird

Today, Tinybird is excited to announce the launch of our new Confluent Connector, offering Confluent users the ability to stream their data into Tinybird in real time. With today’s announcement, Confluent users have a new way to query their streaming data and build fast APIs, faster.
Product updates
Alejandro Martín
Alejandro MartínProduct Manager

Modern applications are built on the most accurate, up-to-the-second data. Whether it’s stock inventory management, website analytics, in-product analytics, or more, making real-time decisions can make all the difference. Some of the biggest applications on the planet leverage streaming data at scale, and Confluent is the leading platform provider for streaming applications. Confluent is a cloud-native, complete, and fully managed service that goes above and beyond Apache Kafka.

Many of Tinybird’s customers also use Confluent:

  • A top 5 retailer uses Confluent and Tinybird together for real-time smart inventory management to reconcile stock across fulfillment centers, retail locations, and online shopping.
  • Fanduel uses Confluent and Tinybird to power real-time personalization across all their sports betting solutions to improve time-to-first-bet and reduce the risk of fraud.
  • Vercel uses Confluent and Tinybird to provide user-facing real-time analytics tools so their customers can get accurate visibility into the performance of their sites

Often, developers need to combine and enrich their streaming data with data from elsewhere. Streaming data on its often is often not valuable, or only partially valuable. To truly get the most out of your streams, you often need to enrich them with dimensions from other sources.

To get the most out of your streaming data sources, you need to enrich them with corresponding dimensions.

For example, if you have a stream of real-time sales events from an eCommerce website, you can work out your up-to-the-second sales figures, which is nice to have.

But, if you also join this sales event stream with a table of inventory data, you can also begin to make automated, real-time decisions to purchase stock so that you can continue to fulfill orders. For modern retailers, this is a must-have.

Announcing the Tinybird Confluent Connector

Today, Tinybird is excited to launch the Tinybird Confluent Connector, which enables our users to ingest their data from Confluent streams, query and combine it with other data sources using SQL, and publish the results as high-concurrency, low-latency APIs. These APIs can power numerous user-facing scenarios, including real-time business intelligence, in-app personalization, smart inventory management, and many more.

The Tinybird Confluent Connector makes it easy for Confluent users to build low-latency APIs over Confluent data at scale.
A gif showing the Tinybird Confluent Connector workflow in the Tinybird UI
The Tinybird Confluent Connector makes it easy to ingest data from a Confluent topic into a Tinybird Data Source.

Already, several Tinybird customers are using the Confluent Connector, with hundreds of topics being ingested daily.

Read on for more information about how customers use the Confluent Connector today and what it’s like to use it.

In the meantime, if you’re not a Tinybird customer, you can learn more and sign up for free (no credit card required). You can also check out our documentation, or feel free to join the Tinybird Community on Slack and ask us any questions or request additional features.

Setting up the Confluent Connector in Tinybird

You can start using the Tinybird Confluent Connector today in the Tinybird UI. Add a new Data Source as you typically would, and then select the Confluent option in the dialog box.

A screenshot showing the Tinybird Confluent Connector being selected in the Tinybird UI
You can easily connect send Confluent data to Tinybird with the Confluent Connector.

Then, navigate to Confluent to get your Bootstrap Server, API Key, and Secret to set up the connection in Tinybird.

A screenshot showing the Tinybird server details being configured in the Tinybird UI
Configuring your Confluent Connection is simple in the Tinybird UI.

Once you’re connected, select your topic and give the consumer group a unique name.

A screenshot showing a Confluent topic being selected in the Tinybird UI
You can select your Confluent topics to ingest into Tinybird Data Sources.

Finally, choose which data you want to ingest and define the table schema of your resulting Data Source.

A screenshot showing a Tinybird Data Source being created from a Confluent topic in the Tinybird UI
You can create a Tinybird Data Source from your Confluent Topics by selecting your data an defining your table schema.

Of course, if you prefer to use the Tinybird CLI, you can use the familiar tb connection create kafka command and follow the prompts using your Confluent details.

A screenshot showing a Confluent connection being created in the Tinybird CLI
You can use the standard Kafka Connection workflow to connect to Tinybird using the CLI.

Get started today

Still want to learn more? Check out the Confluent Connector Screencast:

If you’re not yet a Tinybird customer, you can learn more and sign up for free (no credit card required) and get started today. The Tinybird Build plan is free forever, with no time limit, but if you need more, use the code CONFLUENT for $300 off a Pro subscription.

Also, feel free to join the Tinybird Community on Slack and ask us any questions or request any additional features.

And, if you’re keen to learn more about the Confluent Connector, join our Launch Week Release Round-up on Friday, where we’ll demonstrate all the amazing features we’ve launched this week. Sign up to get a calendar invite and be notified when the Release Round-up begins.

Tinybird Launch Week #2 Release Roundup - Click to register
Click here to get a calendar invite to our release round-up.

‍

Do you like this post? Spread it!

Skip the infra work. Deploy your first ClickHouse
project now

Get started for freeRead the docs
A geometric decoration with a matrix of rectangles.
Tinybird wordmark

Product /

ProductWatch the demoPricingSecurityRequest a demo

Company /

About UsPartnersShopCareers

Features /

Managed ClickHouseStreaming IngestionSchema IterationConnectorsInstant SQL APIsBI & Tool ConnectionsTinybird CodeTinybird AIHigh AvailabilitySecurity & Compliance

Support /

DocsSupportTroubleshootingCommunityChangelog

Resources /

ObservabilityBlogCustomer StoriesTemplatesTinybird BuildsTinybird for StartupsRSS FeedNewsletter

Integrations /

Apache KafkaConfluent CloudRedpandaGoogle BigQuerySnowflakePostgres Table FunctionAmazon DynamoDBAmazon S3

Use Cases /

User-facing dashboardsReal-time Change Data Capture (CDC)Gaming analyticsWeb analyticsReal-time personalizationUser-generated content (UGC) analyticsContent recommendation systemsVector search
All systems operational

Copyright © 2025 Tinybird. All rights reserved

|

Terms & conditionsCookiesTrust CenterCompliance Helpline

Related posts

Product updates
Mar 03, 2023
Build serverless real-time analytics on Vercel with Tinybird
Alasdair Brown
Alasdair BrownDeveloper Advocate
1Build serverless real-time analytics on Vercel with Tinybird
Product updates
Sep 24, 2024
From CDC to real-time analytics with Tinybird and Estuary
Alasdair Brown
Alasdair BrownDeveloper Advocate
1From CDC to real-time analytics with Tinybird and Estuary
Product updates
Apr 19, 2023
Building real-time solutions with Snowflake at a fraction of the cost
Alejandro Martín
Alejandro MartínProduct Manager
1Building real-time solutions with Snowflake at a fraction of the cost
Product updates
Mar 04, 2023
Build fast charts faster with the Tinybird Grafana plugin
Alasdair Brown
Alasdair BrownDeveloper Advocate
1Build fast charts faster with the Tinybird Grafana plugin
Product updates
Mar 01, 2023
Building an enterprise-grade real-time analytics platform
Kike Alonso
Kike AlonsoProduct Manager
1Building an enterprise-grade real-time analytics platform
Product updates
Apr 21, 2023
Generate mock data schemas with GPT
Kike Alonso
Kike AlonsoProduct Manager
1Generate mock data schemas with GPT
Tinybird news
Jul 18, 2023
Tinybird connects with Confluent for real-time streaming analytics at scale
Tinybird
TinybirdTeam
1Tinybird connects with Confluent for real-time streaming analytics at scale
Product updates
Feb 11, 2021
Build real-time analytics APIs collaboratively using Tinybird
Elena Torró
Elena TorróSoftware Developer
1Build real-time analytics APIs collaboratively using Tinybird
Product updates
Jun 15, 2023
A new way to create intermediate Data Sources in Tinybird
Tinybird
TinybirdTeam
1A new way to create intermediate Data Sources in Tinybird
Product updates
Feb 28, 2023
Transforming real-time applications with Tinybird and Google BigQuery
Alejandro Martín
Alejandro MartínProduct Manager
1Transforming real-time applications with Tinybird and Google BigQuery