StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Analytics
  4. Custom Analytics
  5. Bitdeli vs Snowplow

Bitdeli vs Snowplow

OverviewComparisonAlternatives

Overview

Bitdeli
Bitdeli
Stacks160
Followers17
Votes1
Snowplow
Snowplow
Stacks132
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K

Bitdeli vs Snowplow: What are the differences?

Bitdeli: Build Your Own Analytics. 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; 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.

Bitdeli and Snowplow can be primarily classified as "Custom Analytics" tools.

Some of the features offered by Bitdeli are:

  • Bitdeli organizes analytics as cards. A card can show where your business is going or what your users are doing - anything based on your data. A card can work as a dashboard or a live report.
  • Bitdeli can fetch data from your existing analytics provider and other 3rd party services, so you don't need to change anything to get started with Bitdeli.
  • You can also send data directly to Bitdeli to benefit from real-time analytics.

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

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.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Bitdeli
Bitdeli
Snowplow
Snowplow

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.

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

Bitdeli organizes analytics as cards. A card can show where your business is going or what your users are doing - anything based on your data. A card can work as a dashboard or a live report.;Bitdeli can fetch data from your existing analytics provider and other 3rd party services, so you don't need to change anything to get started with Bitdeli.;You can also send data directly to Bitdeli to benefit from real-time analytics.
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
160
Stacks
132
Followers
17
Followers
174
Votes
1
Votes
35
Pros & Cons
Pros
  • 1
    Analytics on my GitHub repos
Pros
  • 7
    Can track any type of digital event
  • 5
    First-party tracking
  • 5
    Data quality
  • 4
    Real-time streams
  • 4
    Redshift integration
Integrations
Segment
Segment
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 Bitdeli, Snowplow?

Keen

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.

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.

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.

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.

Related Comparisons

Postman
Swagger UI

Postman vs Swagger UI

Mapbox
Google Maps

Google Maps vs Mapbox

Mapbox
Leaflet

Leaflet vs Mapbox vs OpenLayers

Twilio SendGrid
Mailgun

Mailgun vs Mandrill vs SendGrid

Runscope
Postman

Paw vs Postman vs Runscope