Databases
Marketing Analytics

How to load data from Braze to ElasticSearch

Learn how to use Airbyte to synchronize your Braze data into ElasticSearch within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Braze as a source connector (using Auth, or usually an API key)
  2. set up ElasticSearch as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Braze

Braze is a customer engagement platform that helps businesses build meaningful relationships with their customers. It offers a suite of tools for creating personalized and relevant messaging across multiple channels, including email, push notifications, in-app messaging, and more. With Braze, businesses can track customer behavior and preferences, segment their audience, and deliver targeted campaigns that drive engagement and revenue. The platform also includes advanced analytics and reporting capabilities, allowing businesses to measure the impact of their campaigns and optimize their strategies over time. Overall, Braze helps businesses create more effective and engaging customer experiences that drive loyalty and growth.

What is ElasticSearch

Elasticsearch is a powerful search and analytics engine that is designed to handle large amounts of data in real-time. It is an open-source, distributed, and scalable search engine that is built on top of the Apache Lucene search library. Elasticsearch is used to search, analyze, and visualize data in real-time, making it an ideal tool for businesses and organizations that need to process large amounts of data quickly. Elasticsearch is designed to be highly scalable and can be used to index and search data across multiple servers. It is also highly customizable, allowing users to configure it to meet their specific needs. Elasticsearch is commonly used for log analysis, full-text search, and business analytics. One of the key features of Elasticsearch is its ability to handle unstructured data, such as text, images, and videos. It uses a powerful search algorithm to analyze and index this data, making it easy to search and retrieve information quickly. Elasticsearch also supports a wide range of data formats, including JSON, CSV, and XML, making it easy to integrate with other data sources. Overall, Elasticsearch is a powerful tool that can help businesses and organizations to process and analyze large amounts of data quickly and efficiently.

Integrate Braze with ElasticSearch in minutes

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Prerequisites

  1. A Braze account to transfer your customer data automatically from.
  2. A ElasticSearch account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Braze and ElasticSearch, for seamless data migration.

When using Airbyte to move data from Braze to ElasticSearch, it extracts data from Braze using the source connector, converts it into a format ElasticSearch can ingest using the provided schema, and then loads it into ElasticSearch via the destination connector. This allows businesses to leverage their Braze data for advanced analytics and insights within ElasticSearch, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Braze as a source connector

1. First, navigate to the Braze source connector page on Airbyte.com.
2. Click on the "Create a new Braze source" button.
3. Enter a name for your Braze source connector.
4. Enter your Braze API key and secret key in the appropriate fields.
5. Select the Braze API endpoint you want to use (REST or Export API).
6. Choose the data you want to replicate from Braze by selecting the appropriate tables and fields.
7. Test the connection to ensure that the credentials are correct and the connection is successful.
8. Save the Braze source connector configuration.
9. Run the Braze source connector to start replicating data from Braze to your destination.

Step 2: Set up ElasticSearch as a destination connector

1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the Elasticsearch destination connector and click on it.
4. You will be prompted to enter your Elasticsearch connection details, including the host URL, port number, and any authentication credentials.
5. Once you have entered your connection details, click on the "Test" button to ensure that your connection is working properly.
6. If the test is successful, click on the "Save" button to save your Elasticsearch destination connector settings.
7. You can now use this connector to send data from your Airbyte sources to your Elasticsearch database.
8. To set up a pipeline, navigate to the "Sources" tab and select the source you want to use.
9. Click on the "Create New Connection" button and select your Elasticsearch destination connector from the list.
10. Follow the prompts to map your source data to your Elasticsearch database fields and save your pipeline.

Step 3: Set up a connection to sync your Braze data to ElasticSearch

Once you've successfully connected Braze as a data source and ElasticSearch as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Braze from the dropdown list of your configured sources.
  3. Select your destination: Choose ElasticSearch from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Braze objects you want to import data from towards ElasticSearch. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Braze to ElasticSearch according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your ElasticSearch data warehouse is always up-to-date with your Braze data.

Use Cases to transfer your Braze data to ElasticSearch

Integrating data from Braze to ElasticSearch provides several benefits. Here are a few use cases:

  1. Advanced Analytics: ElasticSearch’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Braze data, extracting insights that wouldn't be possible within Braze alone.
  2. Data Consolidation: If you're using multiple other sources along with Braze, syncing to ElasticSearch allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Braze has limits on historical data. Syncing data to ElasticSearch allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: ElasticSearch provides robust data security features. Syncing Braze data to ElasticSearch ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: ElasticSearch can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Braze data.
  6. Data Science and Machine Learning: By having Braze data in ElasticSearch, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Braze provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to ElasticSearch, providing more advanced business intelligence options. If you have a Braze table that needs to be converted to a ElasticSearch table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Braze account as an Airbyte data source connector.
  2. Configure ElasticSearch as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Braze to ElasticSearch after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
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Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
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Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
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Connectors Used

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Connectors Used

Frequently Asked Questions

What data can you extract from Braze?

Braze's API provides access to a wide range of data related to customer engagement and marketing campaigns. The following are the categories of data that can be accessed through Braze's API:

1. User data: This includes information about individual users such as their name, email address, phone number, and location.
2. Campaign data: This includes data related to marketing campaigns such as email campaigns, push notifications, and in-app messages. It includes information about the campaign's performance, such as open rates, click-through rates, and conversion rates.
3. Event data: This includes data related to user actions such as app installs, purchases, and other interactions with the app or website.
4. Segmentation data: This includes data related to user segments, such as demographics, behavior, and interests.
5. Messaging data: This includes data related to messaging channels such as email, push notifications, and in-app messages. It includes information about message content, delivery, and engagement.
6. Analytics data: This includes data related to user behavior and engagement, such as session length, retention rates, and revenue generated.

Overall, Braze's API provides access to a wealth of data that can be used to optimize marketing campaigns and improve customer engagement.

What data can you transfer to ElasticSearch?

You can transfer a wide variety of data to ElasticSearch. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Braze to ElasticSearch?

The most prominent ETL tools to transfer data from Braze to ElasticSearch include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Braze and various sources (APIs, databases, and more), transforming it efficiently, and loading it into ElasticSearch and other databases, data warehouses and data lakes, enhancing data management capabilities.