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  5. Keen vs Snowplow

Keen vs Snowplow

OverviewComparisonAlternatives

Overview

Keen
Keen
Stacks224
Followers156
Votes268
Snowplow
Snowplow
Stacks132
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K

Keen vs Snowplow: What are the differences?

What is 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.

What is Snowplow? Enterprise-strength web, mobile, and event analytics, powered by Hadoop, Kinesis, Redshift and Elasticsearch. 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.

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

Some of the features offered by Keen are:

  • You can track any kind of interaction that is happening in your website, mobile app, or backend. Simply insert some code to start sending a particular event to Keen IO whenever it happens. For example, if you want to track button taps, you put some code in your app to send an event to Keen IO whenever someone clicks that button.
  • Run counts, sums, funnels, averages, segmentation and much more, using simple queries
  • Draw and chart your data and display it in a custom dashboard, an analytics tab in your app, or white labeled for your customers

On the other hand, Snowplow provides the following key features:

  • Record events from your website, mobile app, server side systems, third party systems and any type of connected device , so that you have a record of what happened, when, and to whom
  • Processes that data including validating, enriching and modeling it
  • Load that data into your own datawarehouse to power sophisticted analytics

"Very powerful API" is the primary reason why developers consider Keen over the competitors, whereas "Can track any type of digital event" was stated as the key factor in picking Snowplow.

Snowplow is an open source tool with 4.82K GitHub stars and 1K GitHub forks. Here's a link to Snowplow's open source repository on GitHub.

StackShare, ebay, and Heroku are some of the popular companies that use Keen, whereas Snowplow is used by Tilt, StumbleUpon, and Opower. Keen has a broader approval, being mentioned in 106 company stacks & 14 developers stacks; compared to Snowplow, which is listed in 23 company stacks and 7 developer stacks.

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Detailed Comparison

Keen
Keen
Snowplow
Snowplow

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.

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

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.
Track rich events from your websites, mobile apps, server-side systems, third party systems and any type of connected device, so that you have a record of what happened, when, and to whom;Load your data into your data warehouse of choice to power sophisticated analytics;Process your data including validating, enriching and modeling it;Your data is available in real-time via Amazon Kinesis, Google Pub/Sub and BigQuery to power real-time applications and reports;Your data pipeline is running in your cloud environment giving you full ownership and control of your data
Statistics
GitHub Stars
-
GitHub Stars
7.0K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
224
Stacks
132
Followers
156
Followers
174
Votes
268
Votes
35
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
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Completely open source
  • 4
    Redshift integration
Integrations
Stripe
Stripe
GitHub
GitHub
Heroku
Heroku
Runscope
Runscope
Segment
Segment
Postman
Postman
StackMob
StackMob
Twilio SendGrid
Twilio SendGrid
Elasticsearch
Elasticsearch
Microsoft Azure
Microsoft Azure
Amazon S3
Amazon S3
PostgreSQL
PostgreSQL
Amazon Redshift
Amazon Redshift
AzureDataStudio
AzureDataStudio
Google Cloud Storage
Google Cloud Storage
Kafka
Kafka
Google BigQuery
Google BigQuery
Apache Spark
Apache Spark

What are some alternatives to Keen, Snowplow?

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.

Sportlingo

Sportlingo

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

Rybbit

Rybbit

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

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.

Rakam

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.

VulcanSQL

VulcanSQL

It is an Analytics API generator that helps data engineers to build scalable analytics APIs using only SQL without writing any backend code.

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