Sold by: Fabric Data, Inc.
Deployed on AWS
Fabric Origin Nexus provides a robust, cloud-native foundation for managing and delivering high-quality movie and TV metadata. As a mission-critical data layer for Publishers, Studios, Streaming Services, and OEMs, Nexus significantly reduces operational costs by automating title page creation with all the elements consumers expect in their content discovery journey. This automation drives efficiency by ensuring consistent data across all platforms, minimizing manual updates, and accelerating content deployment. The platform enriches your data provision with normalized titles, past and future release dates, poster art, trailers, contributor information, and what streaming services offer the title, ensuring users have everything they need to make informed viewing decisions.
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Overview
For over 20 years, Fabric Origin Nexus has delivered unparalleled data consistency and reliability, establishing the mission-critical foundation trusted by leading Publishers, Studios, Streaming Services, and OEMs worldwide.
Key Capabilities and Features:
Comprehensive Media Metadata: Access a deep database for movies, and TV shows, including core metadata like title, release dates, genres (mapped to IAB genres), box office cume, content ratings, etc. as well as proprietary and special data points.
Promotional Video Library: Over 325,000 unique promotional videos for movies, TV shows, and video games, with multi-language and multi-territory variants available via direct playback links encoded in adaptive streaming formats.
Image Asset Repository: Millions of images, including celebrity headshots and key art for movies and TV shows, along with behind-the-scenes photography.
Celebrity Data: Tracking millions of celebrities and their filmographies, images, IDs, and social media links.
Proprietary Data: Access Collection data that connects titles in franchises, iconic authors and characters, and seasonal editorial lists. Also, use data such as Themes, Tags, Power Ratings, and more to improve recommendations and programmatically create carousels.
Streaming Availability Integration: Provides direct links to global streaming services, indexed by title, allowing users to efficiently locate content across all various platforms and also includes start dates for upcoming titles on a streaming service.
API-Based Content Integration: A RESTful API enables seamless integration of metadata, trailers, images, and availability data into media and entertainment supply chains, streaming services, websites, and applications.
One Stop Shop Data: Connect to 3rd party data services for movie showtimes, age-ratings, critic and user ratings, EPG listings and more.
Highlights
- Direct video links that can be played back in almost any video player. Catalog includes promotional videos by language and territory too.
- Direct links to major streaming services by title so users can find what they want to watch fast.
- Access to millions of images including celebrity headshots, key art for movies and TV shows, behind the scenes photos.
Details
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Delivery method
Deployed on AWS
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Dimension | Description | Cost/month |
|---|---|---|
Fabric DaaS | Receive API Production Key with 5 calls per second | $6,000.00 |
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Delivery details
Software as a Service (SaaS)
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Support
Vendor support
Support Information: High SLAs, warranties, 24h response.
https://developer.origin.fabricdata.com/origin
Tech Support: OriginSupport@FabricData.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Fabric Data, Inc.
By Unified Streaming
By Heap
Top
100
In Media & Entertainment
Top
25
In Analytic Platforms, Business Intelligence & Advanced Analytics, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Comprehensive Media Metadata Database
Access to deep database containing core metadata for movies and TV shows including title, release dates, genres mapped to IAB standards, box office information, and content ratings
Promotional Video Library
Over 325,000 unique promotional videos for movies, TV shows, and video games with multi-language and multi-territory variants available via direct playback links in adaptive streaming formats
Image Asset Repository
Millions of images including celebrity headshots, key art for movies and TV shows, and behind-the-scenes photography
Streaming Availability Integration
Direct links to global streaming services indexed by title with start dates for upcoming titles, enabling efficient content discovery across multiple platforms
RESTful API Integration
API-based content integration enabling seamless integration of metadata, trailers, images, and availability data into media supply chains, streaming services, websites, and applications
Multi-Format Output Packaging
Dynamically packages live streams on-the-fly into HLS (TS & CMAF), DVB-DASH, HbbTV, HDS, and Smooth formats from a single ingested format
Digital Rights Management
Supports all major DRM systems including Adobe Access, FairPlay, Marlin, PlayReady, and Widevine for content protection
Advanced Codec Support
Compatible with cutting-edge codecs including AV1, HEVC, AVC, Dolby Atmos, Dolby AC-4, DTS:X, HDR, and Dolby Vision
Live Archive and Time-Shift Capability
Creates live archive on disk enabling viewers to restart shows from the beginning or access programming from the previous days with configurable archive length
Stateless Architecture
Operates as a stateless system enabling seamless failover and uninterrupted service delivery during failover scenarios
Automatic Event Capture
Autocapture technology that automatically captures granular digital interactions across the customer journey without requiring manual event tracking or additional engineering resources.
Real-time Data Analysis
Data science capabilities applied to complete and retroactive digital engagement data enabling real-time exploration and analysis of behavioral patterns.
Streaming Data Pipeline
Event streaming pipeline built on Autocapture architecture that delivers instant access to high-quality, trusted data at scale.
Cross-platform User Tracking
Capability to track and understand user engagement across web, mobile, and other applications within a unified platform.
Automated Data Integration
Fully automated data pipelines that enable users to act on insights through streamlined workflows and integration with chosen tools or data warehouses.
Standard contract
No
No
Customer reviews
Davidecaruso De Garuso
Unified data workflows have accelerated analytics and transformed development productivity
Reviewed on May 07, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Fabric Data is to extract, transform, and load the data.
To start a transformer and load the data using Fabric Data , I transfer the data into one big database for data analytics.
Additionally, the normalization of the database is critical and I use this database for data analytics.
What is most valuable?
The best features Fabric Data offers are its versatility, as you can use data fabric for many uses in one single platform.
This unique platform for all teams helps because you can use it for various needs such as data analytics, data engineering, and database administration.
Fabric Data has positively impacted my organization by accelerating the development of the software.
It has accelerated my software development because it is a platform that allows you to develop software with a GUI.
What needs improvement?
I have an idea for Fabric Data regarding improvements.
I would note that Fabric Data is a perfect software, which reflects my thoughts on the needed improvements.
For how long have I used the solution?
I have been working in my current field for 10 years.
What do I think about the stability of the solution?
Fabric Data is stable based on my experience.
What do I think about the scalability of the solution?
Fabric Data is scalable.
To clarify, I have not tried the changes regarding Fabric Data's scalability.
How are customer service and support?
Microsoft support is the best for Fabric Data.
I would rate the customer support for Fabric Data as a 10.
Which solution did I use previously and why did I switch?
Before choosing Fabric Data, I did not evaluate other options.
How was the initial setup?
Regarding my experience with pricing, setup cost, and licensing, I have one year of experience.
What about the implementation team?
I am a partner with this vendor beyond being just a customer.
What was our ROI?
I have indeed seen a return on investment with Fabric Data.
I measured that return on investment through time savings, which reflects increased productivity.
What's my experience with pricing, setup cost, and licensing?
My experience with the pricing for Fabric Data shows that it is a little expensive.
Which other solutions did I evaluate?
Before choosing Fabric Data, I did not evaluate other options.
What other advice do I have?
The advice I would give to others looking into using Fabric Data is to focus on data analytics. I have provided an overall rating of 9 for this product.
Anish Kothari
Unified data pipelines have simplified delivery and now need stronger support for cicd practices
Reviewed on May 06, 2026
Review provided by PeerSpot
What is our primary use case?
I am leading the entire Fabric Data CI/CD project, where the development has already been completed in Fabric Data . I am here to enable CI/CD and environment segregation in Fabric Data, where I use Fabric Data CI/CD libraries. I also work on a data engineering project where I build pipelines from end to end.
I have used the Fabric Data CI/CD library and MD files to create the pipelines. I have also used Copy Data activities in Azure Data Factory .
How has it helped my organization?
Because it is under one ecosystem, our time has been saved. Cost has been saved but not as much as I expected it to be.
Money and time have been saved significantly. The training and cost of training for people has reduced because Fabric Data is quite easy to understand.
What is most valuable?
The best features are that the entire ecosystem is inside Microsoft and it is under a SaaS platform. I do not have to rely on any other tools or cross-functional tools to deploy or develop. The entire CI/CD, from development to testing to deployment, the entire operation can be done under the same Fabric Data platform.
The all-in-one system has been the most helpful for me.
Earlier we used to rely on different tools and had to purchase different enterprise-level tools. Different billing used to happen and they were not in line or were very inconsistent. Now that the entire thing comes under a single ecosystem, we do not have such issues.
What needs improvement?
Fabric Data needs more ecosystem support.
It needs a lot of support on the CI/CD part. It is still in development.
It needs more improvement on aspects like CI/CD.
For how long have I used the solution?
I have been using Fabric Data for four months.
What do I think about the stability of the solution?
Currently, as Fabric Data is new, Microsoft is constantly developing it. There were a lot of issues in the initial days, but now Microsoft is working and trying to make it better every day.
What do I think about the scalability of the solution?
Fabric Data does not have scalability issues.
How are customer service and support?
Customer support receives a rating of six out of ten because they themselves are trying to figure out what is new and what the issue is.
Which solution did I use previously and why did I switch?
I did not switch anything. Since the start, I have been in Azure and Azure cloud only.
I was considering choosing Databricks , but we are Microsoft partners, so I did not.
How was the initial setup?
The initial setup was smoother than other tools.
What about the implementation team?
The implementation team can use Fabric Data properly.
What other advice do I have?
My overall review rating for Fabric Data is six out of ten.