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Sync data from Materialize to Apache Kafka

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

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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 Apache Kafka.
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

Apache Kafka.

Email

Materialize.

Name

Apache Kafka.

Name

Materialize.

Total_orders

Apache Kafka.

All_orders

Materialize.

Last_login

Apache Kafka.

Last_login

Use cases

Sync data from Materialize to Apache Kafka

  • Publish messages into different topics whenever rows are added, changed, or removed in your data models.
  • Compose your messages using SQL or our Liquid-based templating engine, which supports variable injection, control flow, and loops.
  • Define custom ordering and partition keys.
  • Authenticate with SASL (SCRAM, AWS IAM, etc.) and bring your own certificate authority.
  • Hightouch supports all managed Kafka services (e.g., Amazon MSK and Confluent Cloud), as well as self-hosted instances.
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 Apache Kafka.

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.

This integration is part of the Hightouch custom destination toolkit, a suite of developer-focused destinations that make it easy to build custom connectors.

OtherMaterialize integrations

OtherApache Kafka integrations


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