Two powerful tools, together

Integrate Segment and Amazon Aurora PostgreSQL to turn your data into actionable insights.

Segment is a customer data hub.

Stitch offers detailed documentation on how to sync your Segment data.

Stitch Segment Documentation

Amazon Aurora PostgreSQL is a popular database tool.

Stitch offers detailed documentation on how to sync your Amazon Aurora PostgreSQL data.

Stitch Amazon Aurora PostgreSQL Documentation

Jumpstart your Segment analytics with reusable blocks

dbt packages can speed up your work

Once you replicate your Segment data with Stitch, you can use it in many ways. For example, you can use the data modeling and transformation tool dbt to prepare data for reporting, analytics, or machine learning applications.

Dbt has prebuilt packages for many Stitch data sources, including Segment. Here’s a look at code for modeling Segment data. This particular block of code quickly cleans your Segment data and categorizes your web page views.

View the source on GitHub →
                          {% macro segment_web_page_views() %}
    {{ adapter_macro('segment.segment_web_page_views') }}
{% endmacro %}
{% macro default__segment_web_page_views() %}
with source as (
    select * from {{var('segment_page_views_table')}}
renamed as (
        id as page_view_id,
        received_at as received_at_tstamp,
        sent_at as sent_at_tstamp,
        timestamp as tstamp,
        url as page_url,
        {{ dbt_utils.get_url_host('url') }} as page_url_host,
        path as page_url_path,
        title as page_title,
        search as page_url_query,
        {{ dbt_utils.get_url_host('referrer') }} as referrer_host,
        context_campaign_source as utm_source,
        context_campaign_medium as utm_medium,
        context_campaign_name as utm_campaign,
        context_campaign_term as utm_term,
        context_campaign_content as utm_content,
        {{ dbt_utils.get_url_parameter('url', 'gclid') }} as gclid,
        context_ip as ip,
        context_user_agent as user_agent,
            when lower(context_user_agent) like '%android%' then 'Android'
            else replace(
                {{ dbt_utils.split_part(dbt_utils.split_part('context_user_agent', "'('", 2), "' '", 1) }},
                ';', '')
        end as device
        {% if var('segment_pass_through_columns') != [] %}
        {{ var('segment_pass_through_columns') | join (", ")}}
        {% endif %}
    from source
final as (
            when device = 'iPhone' then 'iPhone'
            when device = 'Android' then 'Android'
            when device in ('iPad', 'iPod') then 'Tablet'
            when device in ('Windows', 'Macintosh', 'X11') then 'Desktop'
            else 'Uncategorized'
        end as device_category
    from renamed
select * from final
{% endmacro %}

Segment and Amazon Aurora PostgreSQL to your data warehouse in minutes

Stitch delivers all your data to the leading data lakes, warehouses, and storage platforms.

All your data, where you need it

Give your analysts, data scientists, and other team members the freedom to use the analytics tools of their choice.

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I needed to design and build a proof of concept for a complex data warehouse schema to drive a large number of client reports, with some complex and changing business rules, and six disparate data sources. Stitch let me create schemas in Amazon Aurora, synchronize them with test data in Amazon Redshift, and script the client report queries.

Nicholas Kellett

Founder and CEO, Deploy Software Solutions

Why our customers choose Stitch

Stitch is a simple, powerful ETL service built for developers. Stitch connects to your first-party data sources – from databases like MongoDB and MySQL, to SaaS tools like Salesforce and Zendesk – and replicates that data to your warehouse. With Stitch, developers can provision data for their internal users in minutes, not weeks.

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Simple setup
Start replicating data in minutes, and never worry about ETL maintenance.
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Stitch replicates to your warehouse, meaning you’re always in control.
Mature replication engine
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Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.