Years of experience has taught us that traditional approaches to data storage (read SQL) are unsuited for the common requirements of modern cloud-based applications and platforms. A key goal of Enonic XP was to deliver a complete stack - virtually eliminating complex dependencies to 3rd party applications, and minimize requirements to infrastructure.

With the growing popularity of various so-called NoSQL (Not Only SQL) solutions, we evaluated many different technologies and found great inspiration in the following:

  • (+) Cherry picking
  • (+) Branching
  • (+) Pull requests
  • (-) Performance search
  • (-) Granularity of access (all or nothing)
Java Content Repository
  • (+) Hierarchy
  • (+) Granularity
  • (+) Feature set
  • (+) Unstructured
  • (-) Performance
  • (-) Complexity (not document oriented)
  • (-) Attached data model
  • (-) Requires additional storage backend
  • (+) Document oriented
  • (+) Scalability
  • (+) Performance
  • (+) Search
  • (+) Aggregations
  • (-) Search engine, not a database
  • (-) No blob support
  • (-) No security
  • (-) Creates schemas

We were unable to find any single solution that was sufficiently simple and included our desired feature set - so we decided to build our own; the Enonic Content Repository.

The Enonic Content Repository is a place where you can store data, or more specific: Nodes.

It is built on top of Elasticsearch and exposes many of it’s capabilities in search and aggregations and scalability - but in addition, provides the following capabilities:

  • Hierarchical storage model
  • Versioning support
  • Complete Access Control and security model
  • Blob support - using shared filesystem and append-only approach
  • Repository and Branch concepts for content staging
  • Schemaless - Add any property you like, at any time
  • Rich set of value types (HTMLPart, XML, Binary, Reference etc..)
  • SQL-like query syntax

The Enonic Content Repository itself contains one or more separate repositories based on the application need. For instance, an application could demand a setup having three repositories - one for application data, one for users and one for logging:


The reasons for having several separated repositories are many, and explained in detail in the Repository below.