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  5. Snowplow vs Superset

Snowplow vs Superset

OverviewComparisonAlternatives

Overview

Snowplow
Snowplow
Stacks133
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K
Superset
Superset
Stacks420
Followers1.0K
Votes45

Snowplow vs Superset: What are the differences?

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; Superset: Data exploration and visualization platform, by Airbnb. Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Snowplow and Superset are primarily classified as "Custom Analytics" and "Business Intelligence" tools respectively.

Some of the features offered by Snowplow are:

  • 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

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

  • A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities
  • An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler)
  • A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user

"Can track any type of digital event" is the top reason why over 2 developers like Snowplow, while over 2 developers mention "Awesome interactive filtering" as the leading cause for choosing Superset.

Snowplow and Superset are both open source tools. Superset with 24.8K GitHub stars and 4.77K forks on GitHub appears to be more popular than Snowplow with 4.8K GitHub stars and 993 GitHub forks.

Tilt, StumbleUpon, and Opower are some of the popular companies that use Snowplow, whereas Superset is used by Airbnb, Dial Once, and Streamroot. Snowplow has a broader approval, being mentioned in 23 company stacks & 7 developers stacks; compared to Superset, which is listed in 18 company stacks and 5 developer stacks.

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Detailed Comparison

Snowplow
Snowplow
Superset
Superset

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

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

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
A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
Statistics
GitHub Stars
7.0K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
133
Stacks
420
Followers
174
Followers
1.0K
Votes
35
Votes
45
Pros & Cons
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Real-time streams
  • 4
    Redshift integration
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Shareable & editable dashboards
  • 6
    Wide SQL database support
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
Integrations
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
No integrations available

What are some alternatives to Snowplow, Superset?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

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.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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