Lily 1.0: Smart Data, at Scale, made Easy
From the blog entry:
We’re really proud to release the first official major release of Lily – our flagship repository for scalable data and content management, after 18 months of intense engineering work. Along this event, we are also launching our commercial Lily services, and announcing some early-stage customers and partners. We’re thrilled being first to launch the first open source, general-purpose, highly-scalable yet flexible data repository based on NOSQL/BigData technology: read all about it below.
What
Lily is Smart Data, at Scale, made Easy. Lily is a data and content repository made for the Age of Data: it allows you to store and manage vast amounts of data, and in the future will allow you to monetize user interactions by tracking and analyzing audience data.
Lily makes Big Data easy with a high-level, developer-friendly data model with rich types, versioning and schema management. Lily offers simple Java and REST APIs for creating, reading and managing data. Its flexible indexing mechanism supports interactive and batch-oriented index maintenance.
Lily is the foundation for any large-scale data-centric application: social media, e-commerce, large content management applications, product catalogs, archiving, media asset management: any data-centric application with an ambition to scale beyond a single-server setup. Don’t focus on scale and infrastructure: we’ll do that for you while you can focus on real differentiators.
Lily is dead serious about Scale. The Lily repository has been tested to scale beyond any common content repository technology out there, due to its inherently distributed architecture, providing economically affordable, robust, and high-performing data management services for any kind of enterprise application.