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  5. Iteratively vs Snowplow

Iteratively vs Snowplow

OverviewComparisonAlternatives

Overview

Snowplow
Snowplow
Stacks132
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K
Iteratively
Iteratively
Stacks6
Followers16
Votes0

Iteratively vs Snowplow: What are the differences?

What is Iteratively? The best way to track your product analytics. 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.

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.

Iteratively and Snowplow can be categorized as "Custom Analytics" tools.

Some of the features offered by Iteratively are:

  • Single source of truth for your product analytics events
  • Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..)
  • Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...)

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.

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Detailed Comparison

Snowplow
Snowplow
Iteratively
Iteratively

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

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.

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
Single source of truth for your product analytics events; Generates a strongly typed library for your analytics with cross-platform support (Typescript, Kotlin, Swift, etc..); Integrates with the 3rd party and custom backends (Amplitude, Mixpanel, Segment, Intercom, etc...); Established best practices for taxonomy and naming convention; Quality assurance built in with code linting and runtime analysis; Generate automatic & beautiful documentation
Statistics
GitHub Stars
7.0K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
132
Stacks
6
Followers
174
Followers
16
Votes
35
Votes
0
Pros & Cons
Pros
  • 7
    Can track any type of digital event
  • 5
    Data quality
  • 5
    First-party tracking
  • 4
    Real-time streams
  • 4
    Completely open source
No community feedback yet
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
GitHub
GitHub
Google Analytics
Google Analytics
Slack
Slack
Intercom
Intercom
Segment
Segment
Mixpanel
Mixpanel
Amplitude
Amplitude
Jira
Jira
FullStory
FullStory
Facebook Analytics
Facebook Analytics

What are some alternatives to Snowplow, Iteratively?

Segment

Segment

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.

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.

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.

Saasco

Saasco

Build your marketing links the same way you think. Describe your marketing activity and you are done. Our tool takes your intent and builds UTM tags that use industry best practices and remain consistent across users and campaigns. Free to use, no sign up required.

Worklytics: People Analytics Software for a Better Workplace

Worklytics: People Analytics Software for a Better Workplace

Worklytics is a workplace analytics platform that helps organizations understand and improve team productivity, collaboration, and employee experience using data from workplace tools. It aggregates and analyzes behavioral data from systems like email, calendars, and collaboration apps, while protecting individual privacy, to deliver insights that drive performance and organizational health. The platform empowers leaders to make evidence-based decisions about work patterns, management practices, and organizational effectiveness.

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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