Tinybird blog

Tech

5 Snowflake struggles that every Data Engineer deals with

Snowflake is the world’s leading cloud data warehouse, but it is almost always slow and costly for application development. Tinybird makes it easy to quickly and cost-effectively build applications on top of your Snowflake data. Tinybird and Snowflake are better together.

Product

Using custom Kafka headers for advanced message processing

Kafka headers are key-value pairs that can be attached to Kafka messages to provide metadata and additional information about the message. Read on to learn more about the use cases headers support and how to build real-time analytics pipelines using Kafka headers.

Data 101

The 8 considerations for designing public data APIs

For years I developed flood warning systems built on public data APIs. From my experience, I learned that there are 8 things you must consider to build a resilient public data API. These are those 8 things, and how Tinybird can take some of them off your plate.

Upgrading short link analytics by 100x with Steven Tey

We sat down with Steven Tey, Senior Developer Advocate at Vercel and creator of Dub.co, to talk about why switched Dub's analytics from Redis Sorted Sets to Tinybird.

Dev Q&As

Building privacy-first native app telemetry with Guilherme Oenning

Guilherme Oenning left his job to create Aptabase, a platform for mobile and desktop app developers to build telemetry and analytics using simple SDKs. We sat down with Guilherme to talk about building Aptabase and why he chose Tinybird over Postgres, BigQuery, and ClickHouse Cloud.

Tinybird Examples

How to build a real-time fraud detection system

Digital fraud affects so many organizations. In this blog post, you'll learn the components of a real-time fraud detection system, and how to build one with Tinybird.

Data 101

The 5 rules for writing faster SQL queries

If you're building real-time analytics, you need your SQL to be fast. Fast SQL queries improve performance and reduce cost. Here are the 5 rules to follow to write the fastest SQL queries of your life.

Low-code analytics with James Devonport of UserLoop

James Devonport chose to build UserLoop on a no-code platform so he could quickly respond to customer feedback. Read how he found and implemented Tinybird on his journey to building the number one eCommerce customer intelligence software.

Tinybird Examples

Automating customer usage alerts with Tinybird and Make

Here's how I used "low-code" analytics and automation to help my team be more proactive.

Our Beliefs

7 strategies we're using to reduce cloud infrastructure costs in 2023

Cloud infrastructure costs are going up for everyone, but expectations to perform haven't receded. Here are 7 strategies that we use at Tinybird to keep our costs low as we innovate new ways to help our customers achieve more with less.

Real-time Data

Real-time Databases: What developers need to know

Explore the key factors in choosing a real-time database and compare MongoDB, PostgreSQL, Tinybird, ClickHouse, Snowflake, Pinot, and Druid to determine the best fit for your application's performance, scalability, and analytics needs.

Dev Q&As

Chatting GraphQL with Jamie Barton of Grafbase

We sit down with Jamie Barton of Grafbase to talk about building a serverless platform to help developers build GraphQL backends, and how Tinybird has multiplied their development speed while supporting all their data integration needs.

Product

Generate mock data schemas with GPT

Today, we announce the release of our in-product, AI-powered demo data generator. Building off our recent release of Mockingbird, Tinybird now makes it possible to generate mock data schemas based on GPT prompts. Write your first mock data prompt today in the Tinybird UI.

Product

A free and open source mock data generator for your next data project

Mockingbird is a powerful and flexible mock streaming data generator for all of your data projects. With Mockingbird, you can define a data schema and stream mock data to Tinybird and external destinations. Use the headless library, CLI, or UI to generate data streams for any application.

Product

Building real-time solutions with Snowflake at a fraction of the cost

Snowflake is not optimized for real-time use cases. Integrate your Snowflake datasets with Tinybird to build low-latency, high-concurrency APIs over Snowflake data.

Product

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.

Company

Tinyshop: Get Tinybird swag delivered to your doorstep

Introducing Tinyshop, a less awkward and more environmentally-friendly way to share the Tinybird love. Get custom-designed Tinybird swag delivered straight to your door, starting today.

Building In Public

Building a faster CI pipeline with Turborepo and pnpm

We made 3 big changes that have shortened our frontend CI execution time despite a massive increase in code size and test coverage.

Dev Q&As

Developer Q&A: Monitoring global API latency with chronark

We sit down with chronark, creator of Planetfall.io, to talk about global API latency monitoring, time series analytics, usage-based billing, and why being an "SQL noob" can't stop you from making something amazing with Tinybird.

Dev Q&As

Developer Q&A with JR the Builder, co-creator of Beam Analytics

We chat with JR the Builder, 3x indie hacker and recent co-creator of Beam Analytics, about building the cheapest GDPR-compliant web analytics platform, scaling to the whole internet, and launching fast with Tinybird.

Our Beliefs

Data-Driven Talk: Build fast APIs, faster, over data at scale

Tinybird helps developers and data engineers build fast APIs, faster, over streaming data at scale. This is a partial transcript from a talk given by Jorge Gomez Sancha, Co-Founder and CEO of Tinybird, at Data Driven NYC ‘23.

Real-time Data

Real-Time Analytics: Examples, Use Cases, Tools & FAQs

Real-time data analytics can be a powerful differentiator for businesses. But how should you approach it to maximize output and keep costs in check? Get answers to these questions - and many more - in this definitive guide.

Product

Build fast charts faster with the Tinybird Grafana plugin

Grafana is the observability tool of choice for Platform teams, so why settle for slow dashboards? Today, we announce the release of the Tinybird plugin for Grafana, so you can build fast charts, faster.

Product

Build serverless real-time analytics on Vercel with Tinybird

What do Tinybird and Vercel have in common? A lot, as it turns out. Today, we announce the new Tinybird Integration available in the Vercel Integration Marketplace. Use it to sync your Tinybird Workspaces with your Vercel projects to build the real-time, serverless analytics you've always wanted.

Product

Simplifying event sourcing with scheduled data snapshots in Tinybird

Tinybird has always made it possible to ingest relentless streams of data, query and shape them using SQL, and publish them as high-concurrency, low-latency APIs for use in your applications.