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  5. Segment vs Snowplow

Segment vs Snowplow

OverviewComparisonAlternatives

Overview

Segment
Segment
Stacks3.3K
Followers941
Votes275
Snowplow
Snowplow
Stacks132
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K

Segment vs Snowplow: What are the differences?

Introduction

Segment and Snowplow are two popular tools used for collecting and analyzing data in web applications. While both tools serve similar purposes, there are key differences that set them apart from each other. In this analysis, we will provide a brief comparison of Segment and Snowplow, highlighting the main differences between the two.

  1. Data Collection Approach: Segment operates on a client-side data collection approach, where events are tracked and sent directly from the client's browser or mobile app to Segment's servers. On the other hand, Snowplow uses a server-side data collection approach, where events are tracked and sent to a collector server owned by the Snowplow user.

  2. Data Ownership: With Segment, the collected data is fully managed by Segment, and users can access it through Segment's analytics interface. In contrast, Snowplow provides users with complete ownership and control over their data. Users can store the data in their own data warehouse and analyze it using their preferred analytics tools.

  3. Data Schema Flexibility: Segment uses a predefined schema to structure the collected data, ensuring consistency and ease of integration with third-party tools. In Snowplow, there is no fixed schema, allowing users to define and evolve their own data schema based on their specific needs.

  4. Customization and Enrichment: Segment offers various built-in integrations with popular analytics and marketing tools, enabling users to easily send data to these services. Snowplow, on the other hand, requires users to set up their custom integrations and data enrichment processes, providing more flexibility for advanced use cases and allowing users to enrich the data with custom business logic.

  5. Real-time vs Batch Processing: Segment processes data in real-time, allowing users to analyze and take action on the data immediately. Snowplow predominantly operates on batch processing, where data is collected and stored for analysis at a later time. However, Snowplow does support real-time processing capabilities through its Kinesis and Kafka streaming integrations.

  6. Pricing Model: Segment follows a fixed pricing model based on the number of monthly tracked users or events. Snowplow, being an open-source tool, has no upfront costs but requires users to invest in infrastructure and maintenance costs to set up and operate their own Snowplow pipeline.

In Summary, Segment and Snowplow differ in their data collection approach, data ownership, data schema flexibility, customization options, processing capabilities, and pricing models.

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Detailed Comparison

Segment
Segment
Snowplow
Snowplow

Segment is a single hub for customer data. Collect your data in one place, then send it to more than 100 third-party tools, internal systems, or Amazon Redshift with the flip of a switch.

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

A single API to integrate third-party tools; Data replay that backfills new tools with historical data; SQL support to automatically transform and load behavioral data into Amazon Redshift; More than 120 tools on the platform; One-click to install plugins for WordPress, Magento and WooCommerce; Mobile, web and server-side libraries
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
3.3K
Stacks
132
Followers
941
Followers
174
Votes
275
Votes
35
Pros & Cons
Pros
  • 86
    Easy to scale and maintain 3rd party services
  • 49
    One API
  • 39
    Simple
  • 25
    Multiple integrations
  • 19
    Cleanest API
Cons
  • 2
    Not clear which events/options are integration-specific
  • 1
    Limitations with integration-specific configurations
  • 1
    Client-side events are separated from server-side
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Completely open source
  • 4
    Real-time streams
Integrations
Google Analytics
Google Analytics
Mixpanel
Mixpanel
UserVoice
UserVoice
LiveChat
LiveChat
Olark
Olark
Marketo
Marketo
Intercom
Intercom
Sentry
Sentry
BugHerd
BugHerd
Gauges
Gauges
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 Segment, 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.

Surmado Scout

Surmado Scout

Surmado is AI marketing intelligence for small businesses and agencies. SEO audits, AI visibility testing, and strategic advisory. Reports from $25. API-first. Async webhooks. Stable JSON schema. Built for developers who hate dashboards.

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.

AI SEO Tools for Beginners — All‑in‑One Platform

AI SEO Tools for Beginners — All‑in‑One Platform

Manage backlinks, write with AI, and track performance with GA — plus domain lookup, i18n convertor, HTML tools and Chrome extension. Start free.

Surmado

Surmado

Surmado is AI marketing intelligence for small businesses and agencies. SEO audits, AI visibility testing, and strategic advisory. Reports from $25. API-first. Async webhooks. Stable JSON schema. Built for developers who hate dashboards.

AI Powered Data Analysis for Smarter Decisions

AI Powered Data Analysis for Smarter Decisions

Datums simplify data analysis with AI. Effortlessly integrate with major data warehouses, secure your data, and gain rapid, actionable insights. Join now!

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