Tinybird blog

ClickHouse

ClickHouse JOINs... 100x faster

We recently introduced two pull requests to ClickHouse that significantly improve JOIN performance in common scenarios.

Real-time Data Featured

User-Facing Analytics: Examples, Use Cases, and Resources

User-facing analytics is the practice of embedding real-time data visualizations into user-facing applications. Learn more about user-facing analytics and how it's built in this definitive guide.

Product Featured

We rebuilt our docs from scratch. It was worth it.

Building modern docs begins with a modern tech stack. Here’s how we rebuilt our documentation and what it enables us to do for our customers.

Real-time Data

Real-Time Anomaly Detection: Use Cases and Code Examples

I've spent a decade developing anomaly detection systems. Here are some example code snippets you can use to inspire your real-time anomaly detection system.

Real-time Data

What is the best database for real-time analytics?

These are the 3 best databases for real-time analytics, and how to avoid challenges when deploying them.

Product

Export data from Tinybird to Amazon S3 with the S3 Sink

Today, we release the S3 Sink. Now, you can export data from Tinybird to Amazon S3 without any external processes or additional code.

Real-time Data

Iterating terabyte-sized ClickHouse tables in production

ClickHouse schema migrations can be challenging even on batch systems. But when you're streaming 100s of MB/s, it's a whole different beast. Here's how we make schema changes on a large ClickHouse table deployed across many clusters while streaming… without missing a bit.

Building In Public Featured

How to scale a real-time data platform

Tinybird is an enterprise-grade data platform with large customers processing huge amounts of data. Learn how we scale to support their use cases.

Product

Version Control for Real-Time Data

Discover the data version control that lets you build faster, prototype safer, and ship real-time data products more confidently.

Real-time Data

8 example projects to master real-time data engineering

Looking to hone your real-time data engineering skills? Here are 8 end-to-end projects (with code) to help you learn and advance.

Product

Tinybird expands self-service real-time analytics to AWS

Starting today, our self-service customers can select Amazon Web Services as their deployment environment when creating a new Tinybird Workspace. Tinybird is already trusted by AWS customers, including FanDuel, Factorial, and Canva.

Building In Public

Using Tinybird for real-time marketing at Tinybird

Here's how we use Tinybird to drive the growth of Tinybird.

Real-time Data

Build a real-time dashboard in Python with Tinybird and Dash

Want to build a real-time dashboard with Python? Here's a step-by-step guide with included code that shows you how.

Real-time Data

What are columnar databases? Here are 35 examples.

New to columnar databases? Read this article to learn what a columnar database is, when to use it, and popular examples of columnar databases.

Real-time Data

7 tips to make your dashboards faster

Want to speed up your data visualizations? Here are seven tried and true tips to improve dashboard performance.

ClickHouse

Resolving a year-long ClickHouse lock contention

Here's how we fixed a problem that had stumped us for over a year and saw a 5x performance improvement in the process.

Product

Automating data workflows with plaintext files and Git

Data engineering should adopt proven software engineering principles in version control, CI/CD, and testing. Read how we're making that possible at Tinybird.

Real-time Data

Build a real-time dashboard over BigQuery

Struggling with slow or expensive dashboards over BigQuery data? Follow this tutorial to quickly build a real-time dashboard over BigQuery tables.

Product

We have released a stable version of the Tinybird CLI

Introducing the Tinybird CLI v1.0.0, our first stable release.

Real-time Data

Real-time dashboards: Are they worth it?

Are dashboards outdated? Not if they help you make fast decisions, faster. Learn why real-time dashboards are still incredibly powerful today.

Tinybird Examples

How to query Google Sheets with SQL in real time

Want to access real-time data from Google Sheets? Follow this tutorial to query your Google Sheets data with a real-time SQL engine.

Tinybird Examples

Event sourcing with Kafka: A practical example

Learn what event sourcing is, why Kafka works so well for event sourcing patterns, and how to implement event sourcing with Kafka and Tinybird.

Product

Iterate your real-time data pipelines with Git

Today, we’re launching Versions, a safer, more collaborative way to work with Tinybird Data Projects. Read on to learn more about Versions and how it will change the way you work with real-time data.

Building In Public

Why iterating real-time data pipelines is so hard

"Why can't we just use Git?"

Real-time Data

How to do Real-time Data Processing

Real-time data processing is changing data analytics. Learn how to leverage real-time data processing techniques in your data stack.