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  5. MyBacklinks vs Segment

MyBacklinks vs Segment

OverviewComparisonAlternatives

Overview

Segment
Segment
Stacks3.3K
Followers941
Votes275
MyBacklinks
MyBacklinks
Stacks0
Followers1
Votes1

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Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

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CLI (Node.js)
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Manual

Detailed Comparison

Segment
Segment
MyBacklinks
MyBacklinks

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.

Finally, a unified dashboard for SEO, Revenue, and Ops. Sync Stripe, Cloudflare, GSC, and Plausible in seconds. Built for indie hackers managing side projects.

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
seo,ai,sideproject,startups
Statistics
Stacks
3.3K
Stacks
0
Followers
941
Followers
1
Votes
275
Votes
1
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
Google Analytics
Mixpanel
Mixpanel
UserVoice
UserVoice
LiveChat
LiveChat
Olark
Olark
Marketo
Marketo
Intercom
Intercom
Sentry
Sentry
BugHerd
BugHerd
Gauges
Gauges
No integrations available

What are some alternatives to Segment, MyBacklinks?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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