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  4. Custom Analytics
  5. Keen vs Rakam

Keen vs Rakam

OverviewComparisonAlternatives

Overview

Keen
Keen
Stacks224
Followers156
Votes268
Rakam
Rakam
Stacks1
Followers4
Votes0

Keen vs Rakam: What are the differences?

Keen: Keen is the embedded analytics API that makes shipping custom user-facing analytics easy and seamless. Keen is a set of powerful APIs that allow you to collect, analyze, and visualize events from anything connected to the internet. Send all your data – any event, from any source, all the time, any time. Keen IO was specifically built to capture and store event data — those constant little interactions that happen all day, every day, in your apps. Event data can be anything, and Keen IO gives you the ability to grab as much of it as you want, then store it forever on our cloud database; Rakam: Custom Analytics Platform. You can build custom reports or custom dashboards just connect Rakam with third-party tools or join Rakam data with internal data sources. A full stack analytics platform for you, including both backend and frontend.

Keen and Rakam belong to "Custom Analytics" category of the tech stack.

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Detailed Comparison

Keen
Keen
Rakam
Rakam

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.

You can build custom reports or custom dashboards just connect Rakam with third-party tools or join Rakam data with internal data sources. A full stack analytics platform for you, including both backend and frontend.

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.
BI Reporting, Funnel Analysis, Retention Analysis, Event Explorer
Statistics
Stacks
224
Stacks
1
Followers
156
Followers
4
Votes
268
Votes
0
Pros & Cons
Pros
  • 57
    Very powerful API
  • 43
    Easy setup
  • 31
    Great Customer Support
  • 24
    Built by developers for developers
  • 24
    Customization
Cons
  • 1
    Limited concurrent queries
No community feedback yet
Integrations
Stripe
Stripe
GitHub
GitHub
Heroku
Heroku
Runscope
Runscope
Segment
Segment
Postman
Postman
StackMob
StackMob
Twilio SendGrid
Twilio SendGrid
Intercom
Intercom
Stripe
Stripe
Google Analytics
Google Analytics
Mailgun
Mailgun
Mixpanel
Mixpanel
Pipedrive
Pipedrive

What are some alternatives to Keen, Rakam?

Snowplow

Snowplow

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Ahoy

Ahoy

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

digna

digna

Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Bitdeli

Bitdeli

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.

Rybbit

Rybbit

Next-gen, open source, lightweight, cookieless web & product analytics for everyone — GDPR/CCPA compliant.

Sportlingo

Sportlingo

AI-powered sports analytics and skill assessment API that enables apps and platforms to deliver personalized training, drills, and performance insights.

Iteratively

Iteratively

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.

Objectiv

Objectiv

Open-source product analytics infrastructure with a generic event taxonomy, so models built on one company's data set can be deployed and run on another.

Mixpanel Export Tool

Mixpanel Export Tool

Export events & user data from your mixpanel account to a hosted mongodb/mysql in minutes. Run custom BI queries and advanced user reports that Mixpanel can't.

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