Sold by: ScientiaMobile
Deployed on AWS
WURFL is Device Detection framework that identifies all HTTP clients. Supports GoLang, Java, .NET (C#), Node.js, and PHP. Use-cases: mobile optimization, e-commerce, ad tech, business intelligence. Contact ScientiaMobile for a tailored AWS private offer of WURFUL's device.
Overview
Explore the unmatched accuracy and comprehensive scope of the WURFL Microservice AMI available on the AWS Marketplace, designed explicitly for enterprises implementing a microservice architecture. Seamlessly integrate WURFL's renowned Device Detection capabilities into your applications to experience industry-leading precision of 99.9%, supported by a robust library and weekly updates to a repository of over 100,000 devices.
Take advantage of the solution's fast, multi-threaded performance optimized for scaling on multi-core EC2 processor servers. Esteemed global entities such as Google, Akamai, and AWS have adopted WURFL Device Detection. WURFL Microservice has support for all major programming languages, including Go, Java, .NET (C#), Node.js, and PHP, catering to diverse usage scenarios from mobile optimization to advertising/AdTech and analytics. Enterprises can leverage WURFL to enhance their business intelligence platforms, analyze mobile user devices, identify trends and issues, and strategize future investments in mobile technologies. With an initial offering of 13 device capabilities, additional properties are available through AWS Private Offers for a customized experience.
For personalized pricing and a tailored set of capabilities, contact ScientiaMobile to connect with a representative today.
Highlights
- WURFL Microservice delivers outstanding 99.9% Device Detection accuracy thanks to automatic weekly updates that ensure access to detailed data on 100,000+ device models, covering smartphones, tablets, desktops, smart TVs, and game consoles.
- 13 "foundational" WURFL Capabilities are readily accessible. Additional properties (llicensable through Private Offers) support mobile optimization, e-commerce enhancements, enriched mobile user experiences, and advertising strategies.
- With its swift and efficient device detection, WURFL is ideally suited for large enterprises, ad networks, and e-commerce platforms. For a personalized set of WURFL capabilities, get in touch with ScientiaMobile through the AWS Marketplace today.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023.6.20241121.0
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Single server | Number of server instances for a one-year period | $25,000.00 |
Dimensions summary
This listing has one pricing dimension: a single server instance billed for a one-year period. You pay per server instance, so cost scales with the number of instances you deploy. Each instance runs a device detection service that maps HTTP requests to device profiles. To cover more capacity, you add more server units at the same per-unit rate. There are no separate tiers or usage add-ons in this listing. Device data and API logic update automatically at no extra step. For a customized capability set, you can contact the vendor about a private offer.
Top-of-mind questions for buyers
One unit is a single running server instance deployed from the AMI. That instance runs the device detection HTTP server that your client applications query. You pay per instance for a one-year period, so each additional deployed instance counts as another unit.
The server periodically queries ScientiaMobile for updates to the device data repository and API logic. These updates happen automatically with no added configuration and no separate charge. Your one-year per-instance fee covers this ongoing update process.
You can integrate using Go, Java, .NET, PHP, Node.js, Python, Scala, Rust, and Kotlin client libraries. The client connects to the server over a REST interface. The language you choose does not change the per-instance pricing.
docs.scientiamobile.com
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
WURFL Microservice v. 3.0.0
Additional details
Usage instructions
You can find usage instructions here: https://docs.scientiamobile.com/documentation/wurfl-microservice/aws-getting-started
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours aws-support@scientiamobile.com
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