What is Keen?
Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers.
Keen is a tool in the Custom Analytics category of a tech stack.
Who uses Keen?
120 companies reportedly use Keen in their tech stacks, including StackShare, Accenture, and ebay.
105 developers on StackShare have stated that they use Keen.
GitHub, Postman, Heroku, Stripe, and Twilio SendGrid are some of the popular tools that integrate with Keen. Here's a list of all 19 tools that integrate with Keen.
Pros of Keen
Very powerful API
Great Customer Support
Built by developers for developers
Data Collection from any source
Very easy to get started. Loads of potential!
Jul 28 2017 at 7:41AM
Jun 12 2015 at 7:28AM
Jobs that mention Keen as a desired skillset
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- You can track any kind of interaction that is happening on your website, mobile app, or backend. Keen handles every step in the life cycle of your data, from ingestion to presentation.
Keen Alternatives & Comparisons
What are some alternatives to Keen?
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Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.
Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.
Iteratively helps teams capture reliable product analytics they can trust. It eliminates the most common causes of error during the definition and implementation of tracking plans, and cuts down on the time it takes to correctly instrument the product. As a result, folks that consume product analytics get exactly what they spec'd out and can rely on the incoming data knowing it is trustworthy and accurate.