Dagster vs Segment
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
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. | It is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports. |
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 | Manage your data assets with code;
A single pane of glass for your data platform;
From pull request to production. Effortlessly;
Monitor runs across all your jobs in one place with the run timeline view |
Statistics | |
GitHub Stars - | GitHub Stars 14.3K |
GitHub Forks - | GitHub Forks 1.9K |
Stacks 3.3K | Stacks 27 |
Followers 941 | Followers 17 |
Votes 275 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
What are some alternatives to Segment, Dagster?
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.
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 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
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.
Astronomer
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.
