Tinybird blog

What We're Reading

The Guns of August – What our team is reading

Why the birds are the world's best engineers

Tech

Enriching Kafka streams for real-time queries

If you are using Kafka to capture large quantities of events or transactional data, you are probably also looking for ways to enrich that data in real-time. Here is how to do it with Tinybird.

What We're Reading

A high production rate solves many ills – What our team is reading

If you have a high production rate, you have a high iteration rate. For pretty much any technology whatsoever, progress is a function of iteration.

Tinybird Examples

Create a Static Application to Analyze +50M Github Events

Creating applications just using HTML, javascript and CSS is easier than ever with new frameworks and platforms like Zeit. Let see how to create a simple analytics application that queries 50M rows in real time without backend.

What We're Reading

Facebook rewrites their messenger application using 20 year old techniques – What our team is reading

Kids learn to make good decisions by making decisions, not by following directions

What We're Reading

Memory bandwith Napkin Math and more readings from our team members

Real-Time APIs and ETLs, how Github deals with database migrations, memory bandwidth math and more: most interesting articles coming from our flock

Product

Update your analytical data selectively

Updating specific records in your analytical database couldn't be easier with Tinybird's new 'replace with condition' functionality

Building In Public

How We Handle Technical Incidents and Service Disruptions

Part of providing an outstanding level of service is to react quickly and professionally when things go wrong. This is an account of a recent service disruption and how we handled it.

Product

Tinybird Changelog: New User Experience for Data Exploration

During the last few weeks we’ve been studying the best way of building and organizing large applications using Tinybird Analytics, and, in addition to a few ...

Tech

The cron job that will speed up your Postgres queries 100x

What do you do when your transactions table in Postgres has grown way too big to handle analytical queries? How do you answer business questions when it could take minutes to even get a `SELECT count(*) FROM transactions` going?

Tech

Real-time analytics API at scale with billions of rows

How to create an analytics API that deals with billions of rows in a matter of minutes.

Events

Tinybird at South Summit Madrid 2019

We will be demoing Tinybird Analytics thanks to Google for Startups at South Summit Madrid, one of the best places to connect with other technology startups.

Product

Improved Support for Replacing or Appending Data

One of the foundational ideas of Tinybird Analytics is resiliency and consistency under high frequency or big data updates.

Building In Public

Our focus on Speed

There is no good way to uncover new insights underlying terabytes of data unless you make the process of working with it tremendously rewarding and fast.

Building In Public

Learnings and results of our first User Testing sessions

In Product Development, “User Testing” is often easier to talk about than to actually do.

Product

Try out Tinybird's closed beta

Working with large amounts of data is challenging, but we believe it should not be complex. Everybody is waking up to data and its possibilities. We constant...

Product

Tinybird Changelog: Faster CSV Imports

During the last couple of weeks, we’ve made major improvements to our CSV import process, increasing its speed and reliability, getting almost a 2x performance.

ClickHouse

ClickHouse Meetup Madrid videos

Last April we had the pleasure to host the ClickHouse meetup in Madrid.

Tech

Simple Time Series Prediction Modeling Using Tinybird

Time series predictions are one of the most common use cases you can find. Predicting the future, enables you to get ready for it (and act accordingly).

Data 101

Typical Challenges of Building Your Data Layer

When you start a digital product you usually put your data in a database. It does not matter if it is a simple text file, an excel spreadsheet or a managed Postgres instance on the cloud, your data always lives somewhere.