Luna Ec
Co‑co
K
Keen
Keen offers a fully managed, multi‑tenant event streaming platform built on Apache Kafka, Storm, and Cassandra, providing a RESTful Streams API for high‑throughput ingestion and a Compute API for real‑time analytics on encrypted, persistent data. The service also includes an embeddable Data Viz Library for white‑labeled dashboards, eliminating the need for developers to provision and maintain streaming infrastructure.
- Data & Analytics
- Developer Tools
- Enterprise Software
- Events
- Software Only
Updated 6 months ago
Funding
Raised to date
$14.7MRaised 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.
Funding rounds are not available yet.
Founders
Dylan Bauer
Founder
Product
Problem
Developers must allocate significant time and DevOps resources to build, secure, and maintain streaming infrastructure such as Kafka clusters, which delays product delivery and increases operational costs.
Solution
Keen provides a fully managed, multi‑tenant event streaming platform built on Apache Kafka®, Storm®, and Cassandra®. The service exposes a RESTful Streams API that lets developers ingest real‑time events from any source without provisioning servers. Data is stored in encrypted, persistent storage and can be queried on‑the‑fly through a Compute API for real‑time analytics. For product teams that need visual insight, Keen offers a Data Viz Library that enables white‑labeled, in‑app dashboards. By abstracting the underlying infrastructure, Keen reduces setup time to minutes and lowers ongoing operational expenses, allowing teams to focus on building event‑driven applications.
Target Audience
Primary customers are software development teams and product engineers building event‑driven applications who require scalable streaming, analytics, and embedded visualizations without managing infrastructure.
Features
- RESTful Streams API for high‑throughput event ingestion from any client
- Multi‑tenant architecture with automatic scaling and fault‑tolerant Kafka, Storm, and Cassandra back‑ends
- AES‑encrypted persistent storage ensuring data security at rest
- Compute API that supports ad‑hoc queries and continuous real‑time analytics on stored events
- Data Viz Library for embeddable, white‑labeled dashboards and visualizations within applications
- Fully managed service eliminates the need for custom DevOps pipelines and infrastructure maintenance