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NoServer Features

We have eliminated the tedium so your development efforts can be directed towards creating amazing user experiences and engaging apps.

NoServer is the world’s first meta-data driven system that creates beautiful APIs for your applications instantly. Based on our patented “Datagraph” technology, external data can be seamlessly integrated together with application data into a single well-formed REST API for your application.

Open, efficient client SDKs and our nested query language make it easy to build mobile and web apps using your APIs that are smaller in size, perform better with lots of advanced features like caching and offline queuing that available out of the box.

Sign Up to use all these amazing features.

Metadata driven API
Define your API much faster with the FatFractal Definition Language (FFDL).
Objects and Collections
Full control of your API structure with defined Objects as well as Collection resources.
Fully qualified URLs
Your API is identified as a fully qualified URL compared to others that use their URL plus API keys to define an API location.
API metadata
All APIs have a metadata description that you can elect to expose to make it easy to integrate with other APIs/ Applications.
Object metadata
All objects offer system generated metadata (createdAt, createdBy, collection, URL, editable, GUID, version, updatedAt, updatedBy) that is accessible by the client SDK.
User management
Powerful, secure user management is provided out of the box (note - user authentication via external sources using any OAuth 1.0a and 2.0 compatible API.
Permissions can be controlled at the API, Collection and Object level, including cascading permissions.
DatagraphExpressive, navigable object relationships (References, GrabBags and Back References) provide unprecedented flexibility for creating rich data representations.
FatFractal Query Language
A nested query language allows you to “walk” your datagraph (filters, traversals, sorting, limiting, response depth) in order to get to the full graph response that you want in a single query.
API Level Security
API level security (private collections, anonymous access, system user options, allowed and disallowed GET patterns) provide control over how your API can be accessed.
API Metadata Access
You can control whether the API metadata is accessible or not.
Declarative Collection Permissions
You can define the default read and write permissions for any Collection using Declarative Permissions
Encryption at Rest
You can define Object member level data to be stored Encrypted at Rest.
There are a number of FFDL settings that give you additional control over how users authenticate to your API, including registration behavior, password validation and required formats and responses and session timeout settings.
Business Logic (Event Handlers)
Event handlers execute when a data event occurs on your API and are one of the most powerful and unique aspects of the FatFractal Platform. Every CRUD action automatically generates an event that may trigger an event handler, without your defining or coding up those events.
Data Integration (Virtual Collections)
Developers can combine data from external sources into the FatFractal Datagraph making all of the great features of navigating the graph available seamlessly using Virtual Collections that can communicate directly (JDBC) or via REST integration using the provided HTTP Client on the Serverside SDK.
Custom Endpoints (Server Extensions)
Server Extensions execute serverside functions that you create to define custom endpoints for your API.
Automated Functions (Scheduled Code)
FatFractal’s NoServer supports scheduled execution of scripts on the backend.
Push Notifications
The NoServer framework makes easy to use both Apple and Android push notifications in your applications.
Email Notifications
The NoServer framework makes easy to send email notifications from your applications.
Client SDKs
FatFractal provides iOS, Android, BlackBerry, HTML5/JS SDKs that are smaller, more efficient without external dependencies and are less proprietary than all the others.
Deployment Options
The FatFractal Platform can be deployed and run anywhere you wish onto Cloud Infrastructures, or basic virtualized datacenters.
Local Development
You can also run the FatFractal Platform on your development machine greatly speeding up application development and debugging.
Relational Support
Should you need more traditional database support, any collection can be defined as a relation collection exposing relational query support.

FYI – FatFractal now provides textual term search for NoServer apps!

As a developer, I want to be able to retrieve information from my backend using search technology so that I can create even more powerful queries and get super fast responses.

You can see working code for everything below (here).
You can access the source code for the sample application (here).

We are really excited to announce that we our latest release includes full textual term search for all your data that is stored on FatFractal NoServer applications. This opens up an entirely new set of options for your queries and they are super fast to boot!

How it works:

We have recently started to use elasticsearch – a superb product by the way, and a future post will outline why we switched to it – as one of the data stores for your app’s data. Basically, as before, everything that is stored is fully indexed for you automatically without any configuration of your application or schema required. In addition, our implementation does not impose any additional overhead on any interaction with your data (Create, Read Update or Delete), but it has vastly improved the response times for all queries and we have added full textual term search as well.

How to use it:

We have added two new operators that you can use in your queries, “contains_all” and “contains_any”. These provide textual term search capability for queries that looks for, you guessed it, ANY submitted term matches or ALL submitted terms match.
For more information, you can find the documentation for the FatFractal Query Language (here).


As usual, we have created a sample application to illustrate this, you can try the application (here), and the source code for the application is (here) and also play with the databrowser for the application’ backend (here).

The sample application uses a Movies collection that holds Movie objects. The movie objects have a member called “description” which we will be searching.

The model for Movie is as follows:

function Movie() {
this.title = null;
this.description = null;
this.year = null;
return this;
We have populated the collection with two Movies as shown below:

"title": "The Conjuring",
"description": "Paranormal investigators Ed and Lorraine Warren work to help a family terrorized by a dark presence in their farmhouse. Forced to confront a powerful entity, the Warrens find themselves caught in the most terrifying case of their lives.",
"year": 2013
"title": "Grown Ups 2",
"description": "After moving his family back to his hometown to be with his friends and their kids, Lenny finds out that between old bullies, new bullies, schizo bus drivers, drunk cops on skis, and 400 costumed party crashers sometimes crazy follows you.",
"year": 2013
So, now let’s create a couple of queries that use free text search.

Search using contains_any

First, we will search the Movies collection for any Movie objects whose description member contain any one of two terms (for example, “family” and “terrorized”). The query looks like this:

/Movies/(description contains_any 'family terrorized')
The code looks like this:
function searchAny() {
var eli = document.getElementById('movies-search-any-input');
ff.getArrayFromUri("/ff/resources/Movies/(description contains_any '" + eli.value + "')", function(movies) {
// handle success
}, function(code, msg) {
// handle error
Since “family” is contained in both “The Conjuring” as well as “Grown Ups 2” descriptions, this query will return both objects.

Search using contains_all

Next, let’s use the same search terms, but use the contains_all operator, which will search for any Movie objects whose description member contain both search terms.

/Movies/(description contains_all 'family terrorized')
The code looks like this:
function searchAll() {
var eli = document.getElementById('movies-search-all-input');
ff.getArrayFromUri("/ff/resources/Movies/(description contains_all '" + eli.value + "')", function(movies) {
// handle success
}, function(code, msg) {
// handle error
In this case, the query will return only “The Conjuring” as it’s descrption contains both terms and “Grown Ups 2” does not.

As mentioned above, these operations are extremely fast and efficient as any data that is stored on your backend is fully indexed automatically as soon as it is created or modified.

Have fun!