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  5. Iteratively vs Rakam vs Snowplow

Iteratively vs Rakam vs Snowplow

OverviewComparisonAlternatives

Overview

Snowplow
Snowplow
Stacks132
Followers174
Votes35
GitHub Stars7.0K
Forks1.2K
Rakam
Rakam
Stacks1
Followers4
Votes0
Iteratively
Iteratively
Stacks6
Followers16
Votes0

Iteratively vs Rakam vs Snowplow: What are the differences?

1. **Data Collection Methods**: Iteratively relies on tracking plan to define data collection right next to your codebase, while Rakam captures events from web, mobile, and other sources, and Snowplow allows tracking data from various platforms and sources in real-time. 2. **Integration Capabilities**: Iteratively integrates with data warehouses such as BigQuery, Snowflake, and Redshift; Rakam offers integrations with various tools like Segment, Amplitude, and Google Analytics; Snowplow integrates with various platforms and tools for extensive data collection and analysis. 3. **User Interface**: Iteratively provides a user-friendly interface for tracking plan management and data governance, whereas Rakam offers a robust interface for data analytics and visualization, and Snowplow's user interface focuses on comprehensive data monitoring and analysis tools. 4. **Customization Options**: Iteratively offers detailed customization options for tracking plans and data quality checks, Rakam provides customizable dashboards and data pipelines, while Snowplow allows for extensive customization of data pipelines and processing rules. 5. **Data Processing Capabilities**: Iteratively focuses on data tracking and quality assurance, Rakam emphasizes real-time data processing and analytics, and Snowplow is known for its scalable and flexible data processing capabilities. 6. **Community Support**: Iteratively has a growing community of users and developers for support and feedback, Rakam has an active community for sharing insights and best practices, and Snowplow has a large community contributing to its open-source platform.

In Summary, the key differences between Iteratively, Rakam, and Snowplow lie in their data collection methods, integration capabilities, user interfaces, customization options, data processing capabilities, and community support.

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Detailed Comparison

Snowplow
Snowplow
Rakam
Rakam
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.

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.

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
BI Reporting, Funnel Analysis, Retention Analysis, Event Explorer
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 Stars
-
GitHub Forks
1.2K
GitHub Forks
-
GitHub Forks
-
Stacks
132
Stacks
1
Stacks
6
Followers
174
Followers
4
Followers
16
Votes
35
Votes
0
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
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
Intercom
Intercom
Stripe
Stripe
Google Analytics
Google Analytics
Mailgun
Mailgun
Mixpanel
Mixpanel
Pipedrive
Pipedrive
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, Rakam, 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.

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.

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!

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.

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