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Segment
Segment

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Xplenty
Xplenty

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Segment vs Xplenty: What are the differences?

What is 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.

What is Xplenty? Code-free data integration, data transformation and ETL in the cloud. Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.

Segment and Xplenty are primarily classified as "Analytics Integrator" and "Big Data as a Service" tools respectively.

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, Xplenty provides the following key features:

  • Xplenty provides you with an visual, intuitive interface to design your ETL data flows
  • Xplenty lets you integrate data from a variety of data stores, such as Amazon RDS, MySQL, PostgreSQL, Microsoft SQL Server and MongoDB.
  • Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage
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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.

What is Xplenty?

Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.
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    What are some alternatives to Segment and Xplenty?
    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.
    Astronomer
    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.
    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.
    See all alternatives
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    How developers use Segment and Xplenty
    Avatar of StackShare
    StackShare uses SegmentSegment

    I’ve known Peter at Segment for about a year now. I think I first got wind of Segment through their Analytics Academy. Segment seemed like it could be really useful for folks that have a lot of analytics solutions. For us, it was more of a future-proof sort of thing. Where I knew we’d need more analytics (by more, I mean something other than Google Analytics) eventually so this seemed like an easy way to add new ones later on. It’s definitely been useful so far and I’m looking forward to using it more as we add more analytics solutions.

    Avatar of Lee Munroe
    Lee Munroe uses SegmentSegment

    Instead of going back and forth integrating 3rd party scripts, Segment let me set up tracking once then I could switch all other tools on from their control panel. Made it easier to get Mixpanel, Intercom, Olark etc. up and running without touching code.

    Avatar of Udacity
    Udacity uses SegmentSegment

    Logging analytics for payment attempts, successes, failures, total revenue, enrollments, project submissions, etc.

    Avatar of Lyndon Wong
    Lyndon Wong uses SegmentSegment

    Integration of various user data sources and destinations for marketing automation, communications, and analytics.

    Avatar of Tristan Bailey
    Tristan Bailey uses SegmentSegment

    For Adding event tagging and not having to add all the apis I am testing just channel them

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