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What is Rakam?

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.
Rakam is a tool in the Custom Analytics category of a tech stack.

Who uses Rakam?

Developers

Rakam Integrations

Google Analytics, Stripe, Mailgun, Intercom, and Mixpanel are some of the popular tools that integrate with Rakam. Here's a list of all 6 tools that integrate with Rakam.

Why developers like Rakam?

Here’s a list of reasons why companies and developers use Rakam
Top Reasons
Be the first to leave a pro

Rakam's Features

  • BI Reporting, Funnel Analysis, Retention Analysis, Event Explorer

Rakam Alternatives & Comparisons

What are some alternatives to Rakam?
Keen
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.
Ahoy
Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.
Snowplow
Every single event, from your website(s), mobile app(s), desktop applications and server-side systems, stored in your own data warehouse and available to action in real-time.
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.
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.
See all alternatives

Rakam's Followers
2 developers follow Rakam to keep up with related blogs and decisions.
MohammadAsh15
Tomas Conticello