The Feldera Blog

An unbounded stream of technical articles from the Feldera team

Where was Waldo (when his card was swiped)?

What was the stock price at the moment of the transaction? How far was the credit card swiped from the last known location? What was the account balance just before the transfer? These queries, common in time series analytics problems like fraud detection, can be expressed in SQL using a specialized operator: the as-of join.

Incremental Update 6 at Feldera

We’re excited to announce the release of v0.26, which represents a significant step forward for Feldera. This release includes over 200 commits, adding 25,000 lines of new code and documentation. Let's dive into the highlights!

Feldera performance on Nexmark versus Flink

Feldera is up to 6.2X faster than Flink for Nexmark queries

Incremental Update 5 at Feldera

A quick overview of what's new in v0.25.

Analyzing query performance in Feldera

Profiling tools offer a scientific approach to performance.

Incremental Update 4 at Feldera

A quick overview of what's new in v0.24.

Meet the Feldera storage engine

How Feldera handles data bigger than memory.

Incremental Update 3

A quick overview of what's new in v0.23.

Storage has shipped!

Feldera's new storage engine analyzes more data in less memory