platoseed
serverless platform for real-time data
Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.
Denormalized offers a fast, embeddable stream processing engine built on Apache DataFusion, designed to process millions of events per second on a single node. It positions itself as a simple solution for stream processing needs.
An embeddable stream processing engine that runs on a single node and leverages Apache DataFusion to process high-throughput event streams. It focuses on simplicity and speed for real-time data processing within applications, enabling developers to embed the engine directly into their systems and handle millions of events per second.
Who itβs for: Developers and technical teams building real-time data processing capabilities within applications, particularly those needing an embeddable, high-throughput stream processing component.
Spent 10+ years working at the intersection of ML & Data Infra. Working on Uber's Marketplace Dynamics 2016-2020 was an honour of a lifetime. I can nerd out about pricing algorithms and marketplace optimizations till kingdom come.
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From the original launch (Jul 2022) β may be outdated.
Formerly βProbably Nothing Labsβ Β· why startups rename β

Neosync is an open-source anonymization and synthetic data platform.

Data Quality & Playback Platform