Tabular is an independent, universal storage platform founded by the original creators of Apache Iceberg. It aims to provide a storage platform that connects to any compute layer, eliminating data lock-in from full stack offerings. The platform offers high-performance, security, and the ability to use any compute engine or framework.

Tabular is an open table store from the creators of Apache Iceberg. It’s an independent data platform that lets organizations work with a single storage layer simultaneously across Spark, Trino, Flink, Snowflake and other compute engines and frameworks. A fully managed SaaS offering, it includes integrated ingestion, automated performance optimization and centralized security.

Andreessen Horowitz

Chris Riccomini

Tabular

We brought our #ApacheIceberg committers, developers, and solutions architects together to write 34 useful recipes in our first edition of the #ApacheIcebergCookbook -- to give you a head start on your Iceberg journey. 
🍳 👨🍳 👩🍳 🍽 
Let's get cooking!  

https://lnkd.in/g_H33TTR

Thank God its Py-day! 😱 If you want to get going with #PyIceberg, we have an entire chapter in the #ApacheIceberg Cookbook that can act as your guide. 

https://lnkd.in/gvMsBkJD

If you're in Manhattan and are #apacheiceberg curious 🤔, come by Jay Suites Chelsea to hear Iceberg PMC Chair and Tabular CEO Ryan Blue dive into the deep end at the Chill Data Summit.   

https://lnkd.in/ecgpKHiH

Happy New Year! 🎆 The final Iceberg Community Newsletter for 2023 is out.  Keep up to date on all things #apacheiceberg including new features, blog posts, vendor news, resources, etc. 

https://lnkd.in/gYKVFThd

#apacheiceberg uses table snapshots, which can be tagged 🏷 (to reference an important historical state) or branched 🌲 (for test, audit and forensics). This recipe in the #ApacheIcebergCookbook shows you how to create and manage tags and branches to unlock new use cases.

https://lnkd.in/ghRzMxN7

One of the great things about #ApacheIceberg is that you can apply performance optimizations like compaction as asynchronous background tasks. 

https://lnkd.in/gQD2Q-9m

This recipe from the #ApacheIcebergCookbook shows how to run file compaction, not just to solve the small files problem but to also re-cluster, re-partition, and remove deleted rows.

Interested in which data infrastructure trends drove the industry in 2023? Then register on meetup.com for Streaming Stories #meetup, a panel featuring #startupfounders from Tabular, Redpanda Data, StarTree and RisingWave.  

21 December, 9 PT, 12 ET

https://lnkd.in/gN7wheha

Check out this #timetravel recipe, one of 34 in our #ApacheIcebergCookbook.

It shows you how to rewind time to a historical table snapshot, which helps with debugging, auditing, and historical analysis. And it comes built into #ApacheIceberg. 

https://lnkd.in/gJDKX7SP

Learn how to MERGE data into an #ApacheIceberg table to create an idempotent pipeline that applies incoming changes to existing rows.  A recipe from the new Apache Iceberg Cookbook.

https://lnkd.in/g7RkWaiF

#ApacheIcebergCookbook

The November #ApacheIceberg community newsletter is out.   Enjoy!

https://lnkd.in/gDs5ZD4E

IO:TABULAR

Tabular

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