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Iteratively

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Segment vs Iteratively: What are the differences?

Developers describe Segment as "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. On the other hand, Iteratively is detailed as "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.

Segment and Iteratively belong to "Analytics Integrator" category of the tech stack.

Some of the features offered by Segment are:

  • 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

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

  • 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...)
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Pros of Iteratively
Pros of Segment
    Be the first to leave a pro
    • 86
      Easy to scale and maintain 3rd party services
    • 49
      One API
    • 39
      Simple
    • 25
      Multiple integrations
    • 19
      Cleanest API
    • 10
      Easy
    • 9
      Free
    • 8
      Mixpanel Integration
    • 7
      Segment SQL
    • 6
      Flexible
    • 4
      Google Analytics Integration
    • 2
      Salesforce Integration
    • 2
      SQL Access
    • 2
      Clean Integration with Application
    • 1
      Own all your tracking data
    • 1
      Quick setup
    • 1
      Clearbit integration
    • 1
      Beautiful UI
    • 1
      Integrates with Apptimize
    • 1
      Escort
    • 1
      Woopra Integration

    Sign up to add or upvote prosMake informed product decisions

    Cons of Iteratively
    Cons of Segment
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      • 2
        Not clear which events/options are integration-specific
      • 1
        Limitations with integration-specific configurations
      • 1
        Client-side events are separated from server-side

      Sign up to add or upvote consMake informed product decisions

      What is 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.

      What is 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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Iteratively?
      What companies use Segment?
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      Learn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Iteratively?
      What tools integrate with Segment?

      Sign up to get full access to all the tool integrationsMake informed product decisions

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      Google AnalyticsAmazon S3New Relic+25
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      GitGitHubDocker+34
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      GitGitHubSlack+30
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      What are some alternatives to Iteratively and Segment?
      Iterable
      Iterable empowers growth marketers to create world-class user engagement campaigns throughout the full lifecycle, and across all channels. Marketers segment users, build workflows, automate touchpoints at scale without engineering support.
      Iterate
      It is a modern survey tool built to help technology companies validate ideas, question assumptions, and understand the motivation behind their metrics.
      NumPy
      Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
      Google Analytics
      Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
      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.
      See all alternatives