The Feldera Blog

An unbounded stream of technical articles from the Feldera team

storage

Meet the Feldera storage engine

How Feldera handles data bigger than memory.

Incremental Update 3incremental-update

Incremental Update 3

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

Storage has shipped!streaming analytics

Storage has shipped!

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

Incremental Update 2incremental-update

Incremental Update 2

A quick overview of what's new in v0.21.

RocksDB: Not A Good Choice for a High-Performance Streaming Platformstreaming analytics

RocksDB: Not A Good Choice for a High-Performance Streaming Platform

We go over our findings when trying to use RocksDB as our storage engine

Rolling Aggregates: the Most Important Feature in Your Real-Time Fraud Detection Pipelinefraud detection

Rolling Aggregates: the Most Important Feature in Your Real-Time Fraud Detection Pipeline

We explore rolling aggregation--a critical tool in the real-time fraud detection arsenal

Optimizing Kafka input performancestreaming

Optimizing Kafka input performance

What can we do to our code and our data to maximize Kafka input performance?

streaming

Your Streaming Analytics Use Case Needs More State Than You Think

There are two types of streaming users: those who believe their workload fits in memory and those who already know it won't.

Real-time fraud detection using Feldera and Hopsworksfeature store

Real-time fraud detection using Feldera and Hopsworks

Implementing a real-time fraud detection pipeline using Feldera and the Hopsworks feature store.