Eon offers a contemporary streaming data series store that lets developers ingest, store, and query continuous time‑series data with low latency. The platform supports real‑time analytics and integrates into modern data pipelines, providing a scalable solution for handling long‑duration streaming datasets.
Funding
$70M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Organizations that need to retain high‑volume time‑series data for indefinite periods face challenges with traditional databases, which often cannot ingest continuous streams at scale while providing low‑latency queries over long histories.
Solution
Eon provides a purpose‑built streaming data series store that continuously ingests, stores, and indexes massive time‑series streams. Its architecture partitions data by time and leverages columnar storage with append‑only logs to maintain low write latency even as datasets grow indefinitely. Real‑time query engines access recent and historical data with sub‑second response times, enabling applications such as monitoring, analytics, and machine‑learning pipelines to operate on persistent streams without performance degradation. The platform is exposed via standard APIs, allowing developers to integrate it directly into existing data pipelines and services.
Target Audience
Primary users are engineers and data teams building monitoring, IoT, financial, or analytics applications that require persistent, high‑volume time‑series data storage and fast query capabilities.
Features
- Continuous ingestion pipeline supporting unbounded, high‑throughput time‑series streams
- Append‑only, columnar storage optimized for long‑term retention and efficient compression
- Real‑time query engine delivering low‑latency access to both recent and historical data
- Time‑based partitioning and automatic data lifecycle management for scalable storage growth
- Native SDKs and REST/SQL‑compatible APIs for seamless integration with data processing frameworks