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What is Spike?
Seamlessly connect your application to real-time information from over 300 devices via a unified API, enabling you to harness this data with our adaptable AI and machine learning offerings. This singular API opens doors to all major wearable and IoT platforms, allowing you to initiate testing right away with our easy-to-follow and detailed documentation, thereby speeding up your project timelines. Enhance your application's capabilities and user satisfaction by providing personalized insights that elevate user engagement and retention rates. You will gain access to wearable data in both raw and formatted styles, while we manage API upgrades, oversee new sensor implementations, and ensure version control, freeing you from these technical tasks. With just a few lines of code, you can integrate with Spike from any platform and receive data presented in an easily digestible format. Concentrate on delivering exceptional value to your users, while we manage the technical intricacies. The technology behind Spike, including its REST API endpoints and cloud infrastructure, is carefully designed with a strong emphasis on data privacy and security, safeguarding your users' sensitive information. By leveraging our solutions, you can drive innovation and improve your application, all while avoiding the complexities associated with data management, thus facilitating a smoother development process. In this way, you can focus on what truly matters: creating a remarkable user experience.
What is Riemann?
Riemann efficiently aggregates events generated from your servers and applications through a powerful stream processing language. It enables the automation of email alerts for every exception that arises in your application, tracks the latency distribution of your web service, and helps in pinpointing the highest resource-consuming processes on any machine based on memory and CPU metrics. Furthermore, Riemann facilitates the collection of statistics from all Riak nodes within your cluster, which can subsequently be forwarded to Graphite for further analysis. User interactions can be monitored in real-time, as Riemann provides a low-latency, transient shared state suited for systems with numerous dynamic elements. The streams in Riemann function as event-accepting algorithms, and with its configuration presented as a Clojure program, the syntax remains clear, uniform, and flexible. By adopting a configuration-as-code approach, Riemann minimizes repetitive code while offering the adaptability essential for managing complex scenarios. This system can be customized to provide varying levels of detail, making it possible to throttle or merge multiple events into a single notification as needed. You can receive timely email alerts regarding exceptions in your code, service failures, or spikes in latency, and it also integrates seamlessly with PagerDuty for immediate SMS or phone alerts. Ultimately, Riemann empowers developers to maintain effective oversight and responsiveness across their applications and infrastructure, ensuring that system health is consistently monitored and managed efficiently. The ability to tailor notifications and insights allows for a more proactive approach to application management, enhancing overall operational efficiency.
Integrations Supported
Amazon Web Services (AWS)
Android
Apple Podcasts
CX-Programmer
Flutter
Headspace for Work
Kotlin
Peloton Corporate Wellness
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Company Facts
Organization Name
Spike
Company Location
United States
Company Website
spikeapi.com
Company Facts
Organization Name
Riemann
Company Website
riemann.io
Categories and Features
Healthcare Analytics
Not specified
Categories and Features
Container Monitoring
Not specified
Network Monitoring
Not specified