Segment vs Astronomer

Overview

Segment

Stacks3.3K

Followers941

Votes275

Astronomer

Stacks26

Followers47

Votes0

Astronomer vs Segment: What are the differences?

Astronomer: Capture every user event and route them anywhere. Automatically. Astronomer is a data engineering platform that collects, processes and unifies enterprise data so you can get straight to analytics, data science and insights. Astronomer Clickstream captures valuable user events and routes them straight to all your favorite tools or a data warehouse for analytics. All in real time; Segment: A single hub to collect, translate and send your data with the flip of a switch. 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.

Astronomer and Segment can be primarily classified as "Analytics Integrator" tools.

Some of the features offered by Astronomer are:

VPC Deployment - Control your infrastructure on your private cloud
Real-time monitoring - See for yourself that your data is flowing smoothly
Robust library - and when you need a new connector, just ask

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

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

🔥 Trending in Analytics on StackShare

digna

Analytics

digna

Try it View Docs Alternatives

Try

2

Advice on Segment, Astronomer

Iva

Product Marketing Manager at Martian & Machine

Jan 20, 2021

Needs adviceon

Segment

Google Tag Manager

Amplitude

Hi,

This is a question for best practice regarding Segment and Google Tag Manager. I would love to use Segment and GTM together when we need to implement a lot of additional tools, such as Amplitude, Appsfyler, or any other engagement tool since we can send event data without additional SDK implementation, etc.

So, my question is, if you use Segment and Google Tag Manager, how did you define what you will push through Segment and what will you push through Google Tag Manager? For example, when implementing a Facebook Pixel or any other 3rd party marketing tag?

From my point of view, implementing marketing pixels should stay in GTM because of the tag/trigger control.

If you are using Segment and GTM together, I would love to learn more about your best practice.

Thanks!

163k views163k

Comments

Detailed Comparison

Segment	Astronomer
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.	Astro is the modern data orchestration platform, powered by Apache Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code.
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	-
Statistics
Stacks 3.3K	Stacks 26
Followers 941	Followers 47
Votes 275	Votes 0
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	No community feedback yet
Integrations
Google Analytics Mixpanel UserVoice LiveChat Olark Marketo Intercom Sentry BugHerd Gauges	No integrations available

What are some alternatives to Segment, Astronomer?

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!

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.

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.

Google Tag Manager

Tag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want.

Rudderstack

RudderStack allows you to easily build pipelines connecting your whole customer data stack, then make them smarter by pulling analysis from your data warehouse to trigger enrichment and activation in customer tools.

Avo

A code-generated, type-safe tracking library to accurately implement analytics events that are defined and maintained in a single-source-of-truth web app. Built to optimize the experience of maintaining and version controlling complicated event schemas.

Dagster

It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.

Alation

The leader in collaborative data cataloging, it empowers analysts & information stewards to search, query & collaborate for fast and accurate insights.

Freshpaint

Codelessly connect your site to your stack. Automate tedious work so engineering can focus on product. It integrates your marketing and analytics tools with one click.

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.