Movatterモバイル変換


[0]ホーム

URL:


Skip to main content
*New* Content Assembly: Remix your existing creative to build new, on-brand content →
Brand assetsPress
Log inGet a demo

Sync data from Materialize to Statsig

Connect your data from Materialize to Statsig with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.

Get started

The world’s most innovative companies choose Hightouch

Spotify.
Warner Music Group.
PetSmart.
Ramp.
Grammarly.
Anaconda.
Dominos.
Autotrader.
Spotify.
Aritzia.
Dominos.
Nando's.
Warner Music Group.
PetSmart.
WHOOP.
Chime.
Iterable.
Docusign.
Headway.
Viking Line.
Ramp.
Grammarly.
DraftKings.
Autotrader.
Read case studies

Activate your data in 3 easy steps

An illustration showing logos of various sources connecting to destination logos.

Connect to 35+ data sources, like Materialize, and 250+ destinations, like Statsig.
An illustration showing logos of various sources connecting to destination logos.

Use SQL or select an existing dbt or Looker model.
An illustration showing a dbt users model with a SQL query.

Map your fields, set your sync schedule, and hit “Go!”
Materialize.

Email

Statsig.

Email

Materialize.

Name

Statsig.

Name

Materialize.

Total_orders

Statsig.

All_orders

Materialize.

Last_login

Statsig.

Last_login

Use cases

Sync data from Materialize to Statsig

  • Define user targeting groups in segments for re-use in Feature Gates and Dynamic Configs
  • Log events to help monitor how your product is performing in real-time
  • Investigate product usage patterns that can point to further improvements and new product hypotheses from the data in your warehouse
Hightouch Audiences user interface.

What methods can I use to model my Materialize data?

  • Semi-opaque, open dropdown with three example dbt model names such as 'dbt.model.name.1'.

    dbt model selector

    Sync directly with your dbt models saved in a git repository.

  • Semi-opaque open dropdown with three example Look names such as 'Look 1'.

    Looker

    Query using Looks. Hightouch turns your look into SQL and will pull from your source.

  • SQL editor.

    SQL editor

    Create and Edit SQL from your browser. Hightouch supports SQL native to Materialize.

  • Semi-opaque open dropdown with three example workbook names such as 'Workbook 1'.

    Sigma model

    Hightouch converts your Sigma workbook element into a SQL query that runs directly on Materialize.

  • Semi-opaque open dropdown with three example table names such as 'schema.table.name.1'.

    Table selector

    Select available tables and sheets from Materialize and sync using existing views without having to write SQL.

  • Visual query builder reading 'All rows that...' with a button labeled 'select a property'.

    Customer Studio

    For less technical users, pass traits and audiences from Materialize using our visual segmentation builder.

FAQs

There are several options to sync data between sources. You can manually build and maintain a data pipeline, use a point-to-point solution such as Zapier, or you can manually upload CSVs.

With Hightouch, you get:

  • Automation: You do not need to build and maintain custom data pipelines and you do not have to have your team do manual work
  • Simplicity: You avoid a complex web of integrations caused by point-to-point solutions by syncing data from your source
  • Speed: You can get set up in quickly - the average Hightouch customer starts syncing data in 23 minutes
  • Control: companies of all sizes have access to enterprise-level controls including observability, dbt integrations, and version control
  • Security: Hightouch never stores your data and is HIPAA, GDPR, CCPA, and SOC-2 compliant

90% of all Hightouch syncs complete in 30 seconds or less, and the platform enables non-technical users to self-serve.

With Hightouch, you can sync data as frequently as it changes within your Materialize. You can trigger data syncs manually or schedule them to run at an interval or custom recurrence as often as once per minute.

Hightouch offers a basic mapper or advanced mapper that allows you to visually match columns from your Materialize to fields in Statsig.

Materialize is a streaming database powered by Timely and Differential Dataflow, purpose-built for low-latency applications. It lets you ask complex questions about your data using SQL, and incrementally maintains the results of these SQL queries as the underlying data changes.

Statsig converts the events from your experiments and application events to deliver trustworthy results. This data infrastructure is designed to capture the precision and scale that you expect from applications with users from thousands to billions of end-users.

OtherMaterialize integrations

OtherStatsig integrations


[8]ページ先頭

©2009-2026 Movatter.jp