Ready to dive into the lake?
lakeFS is currently only
available on desktop.

For an optimal experience, provide your email below and one of our lifeguards will send you a link to start swimming in the lake!

lakeFS Community

Thought Leadership

Data Engineering Thought Leadership

Hive Metastore – Did We Replace It With A Vendor Lock?

Oz Katz, Einat Orr, PhD

A data lake is often implemented using object storage, and our data resides in objects (files) that we can access through the storage API. Data professionals in analytics and ML are used to consuming data from a database, where there is an abstraction of a table one can access using SQL. They will find it …

Hive Metastore – Did We Replace It With A Vendor Lock? Read More »

Product Thought Leadership

Major Milestone: lakeFS 1.0 Is Now Generally Available

Oz Katz

TL;DR:  lakeFS 1.0 is generally available. You can upgrade to this version via the Assets here. Just over three years ago we publicly released the initial lakeFS. Our mission when we first launched lakeFS was to provide data practitioners with a scalable data version control system that would bring order to the chaos that comes …

Major Milestone: lakeFS 1.0 Is Now Generally Available Read More »

Data Engineering Machine Learning Thought Leadership

Delta-rs, Apache Arrow, Polars, WASM: Is Rust the Future of Analytics?

Oz Katz

This post is a recap of a talk I gave at this year’s Data + AI Summit about why I believe the Rust Programming Language and related novel technologies such as WebAssembly will play a large part in the data ecosystem in the coming years. The talk covers: The “present” of analytics (from my perspective, …

Delta-rs, Apache Arrow, Polars, WASM: Is Rust the Future of Analytics? Read More »

Thought Leadership

MLOps Is Overfitting: Here’s Why

Einat Orr, PhD

VC surveys show that the MLOps category has significantly expanded in the past few years, with hundreds of companies defining themselves as part of this dynamically evolving niche.  MLOps systems provide the infrastructure allowing ML practitioners to manage the lifecycle of their work from development to production in a robust and reproducible manner. An MLOps …

MLOps Is Overfitting: Here’s Why Read More »

Data Engineering Thought Leadership

Year in Review: Thanks A-LOTL for an Outstanding 2022

Adi Polak

2022 has been an incredible year, in the same way that roller coasters are thrilling. Our industry has seen many shifts and rapid changes – which we experienced together. In 2022, we witnessed how data engineering teams became increasingly central to any data-driven organization. And the growth of more significant roles of Analytics Engineers, ML …

Year in Review: Thanks A-LOTL for an Outstanding 2022 Read More »

Thought Leadership

4 New Year Resolutions for Data Engineering Leaders and How You Can Achieve Them

Michal Wosk

Introduction As 2022 is about to end, many engineering leaders use this time to reflect on the year that has passed and start planning ahead on the year upcoming. Data engineering teams are usually swamped with tasks and requirements, which are many times also accompanied by failures and issues that require immediate attention. Therefore using …

4 New Year Resolutions for Data Engineering Leaders and How You Can Achieve Them Read More »

Git for Data – lakeFS

  • Get Started
    Get Started