Ryan Blue

November 7, 2023

In this post, I make the case that Apache Iceberg is reliable and Apache Hudi is not. And the best way to do that is to contrast the design of both projects in the context of the ACID guarantees: atomicity, consistency, isolation, and durability. My aim is to accurately present the facts to educate the curious and help people make informed choices.

October 5, 2023

Yesterday the Apache Iceberg community released version 1.4.0, packed with improvements. In this post, I’ll highlight a few of those improvements that will make life easier for data practitioners.

September 19, 2023

Analytic databases are quietly going through an unprecedented transformation — one that will fundamentally change the industry for the better, by freeing data that’s being held hostage.

September 12, 2023

Write amplification refers to the work necessary to balance the trade-offs between efficiency at write time and efficiency at read time. Here are some options to help you strike that balance.

July 7, 2023

The MERGE pattern is the go-to solution for most people, and it generally works well enough. But it’s not without a few gotchas.

July 6, 2023

Recent announcements about new Apache Iceberg support from Snowflake, Google, and Databricks motivated this deeper look at what Iceberg is and why it is being built into the foundation of modern data architecture.

June 28, 2023

Data gremlins (problems that never show up in tests) are hard to track down but easy to prevent by guaranteeing transactional consistency in CDC pipelines.

June 23, 2023

Using a change log table for CDC table mirroring with Apache Iceberg introduces change data capture (CDC), introduces surprising benefits, and illustrates trade-offs of different CDC designs.

March 26, 2023

How to connect to your Tabular warehouses from Starburst Galaxy, a managed SQL engine from the creators of Trino

March 26, 2023

Tutorial: Data warehouse patterns in Trino and Apache Iceberg

March 9, 2023

I’m excited about the addition of tags and branches to the Iceberg spec. What are tags and branches?

March 1, 2023

I’m excited to announce that, as of this morning, we have opened up sign-ups for Tabular.

December 9, 2022

The Apache Iceberg community just released a new version, 1.1.0. In this post, we’ll explore some of the recent highlights

October 25, 2022

This post explores the tasks that data engineers should no longer need to worry about and how you can stop wasting time on them

February 22, 2022

The Apache Iceberg community just released version 0.13 and there’s a lot of great new additions! This post covers some of the highlights that make this a great release.

November 10, 2021

This post details how Iceberg’s metadata forms an index that Iceberg uses to scale to hundreds of petabytes in a single table and to quickly find matching data, even on a single node.

September 21, 2021

To be successful, the Iceberg community needs to be collaborative, neutral, and independent. To ensure that it continues to be a healthy and successful community, we're creating an open source culture at Tabular that sets best practices for working in the community.

August 29, 2021

Introducing Tabular. We think data engineers, analysts, and scientists are most effective when they can focus on building reliable data products and answering questions, not fighting infrastructure. We’re creating a new data platform that automates maintenance and optimization to protect people from tedious concerns, while enabling them to work with the same data simultaneously across Spark, Trino, Flink, and other engines. The core of Tabular is the open source standard for huge analytic tables, Apache Iceberg.

November 29, 2023

To help practitioners harness the power of Iceberg, we’ve put together the Apache Iceberg Cookbook.

November 28, 2023

To help practitioners harness the power of Iceberg, we’ve put together the Apache Iceberg Cookbook.

May 17, 2023

Today, we are excited to announce that the Tabular connector is generally available in Starburst Galaxy.