How to load data from Delighted to Weaviate

Learn how to use Airbyte to synchronize your Delighted data into Weaviate within minutes.

Try Airbyte Cloud

Get a demo

Building your pipeline or Using Airbyte

Airbyte is the only open solution empowering data teams to meet all their growing custom business demands in the new AI era.

Building in-house pipelines

Bespoke pipelines are:

Inconsistent and inaccurate data
Laborious and expensive
Brittle and inflexible

Furthermore, you will need to build and maintain Y x Z pipelines with Y sources and Z destinations to cover all your needs.

After Airbyte

Airbyte connections are:

Reliable and accurate
Extensible and scalable for all your needs
Deployed and governed your way

All your pipelines in minutes, however custom they are, thanks to Airbyte’s connector marketplace and Connector Builder.

Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Delighted connector in Airbyte

Connect to Delighted or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Weaviate for your extracted Delighted data

Select Weaviate where you want to import data from your Delighted source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Delighted to Weaviate in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

Try Airbyte Cloud

Take a virtual tour

Check out our interactive demo and our how-to videos to learn how you can sync data from any source to any destination.

Demo video of Airbyte Cloud

Demo video of AI Connector Builder

Talk to our team

Old Automated Content

TL;DR

set up Delighted as a source connector (using Auth, or usually an API key)
set up Weaviate as a destination connector
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 Delighted

Delighted assists businesses connect with their customers learning, improving, and delighting.It is well known for delivering some of the most innovative functionality for customer experience management. Delighted is completely the self-serve experience management platform of choice for the worldwide top brands. It helps to collect and analyze survey feedback through Delighted. Get set up in minutes, no technical knowledge needed. Delight helps to build long-lasting relationships and deliver great service experience.

What is Weaviate

Weaviate is an open-source, cloud-native, real-time vector search engine that allows developers to build intelligent applications with natural language processing (NLP) capabilities. It uses machine learning algorithms to understand the meaning of unstructured data and provides a semantic search engine that can retrieve relevant information from large datasets. Weaviate can be used to build chatbots, recommendation systems, and other intelligent applications that require NLP capabilities. It is designed to be scalable, flexible, and easy to use, with a RESTful API that allows developers to integrate it into their applications quickly. Weaviate is built on top of Kubernetes and can be deployed on-premises or in the cloud.

Integrate Delighted with Weaviate in minutes

Try for free now

Prerequisites

A Delighted account to transfer your customer data automatically from.
A Weaviate account.
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 Delighted and Weaviate, for seamless data migration.

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

Step 1: Set up Delighted as a source connector

1. First, navigate to the Delighted source connector page on Airbyte.com.
2. Click on the "Create a new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Delighted API key in the "API Key" field.
5. Select the data you want to sync by choosing the appropriate options in the "Sync Schema" section.
6. Click "Test" to ensure that your credentials are correct and that the connection is working properly.
7. If the test is successful, click "Create Connection" to save your settings.
8. You can now schedule your sync by clicking on the "Schedule" button and selecting the appropriate options.
9. Once you have scheduled your sync, click "Save" to finalize your settings.
10. Your Delighted source connector is now connected to Airbyte and ready to sync your data.

Step 2: Set up Weaviate as a destination connector

1. First, navigate to the Weaviate destination connector on Airbyte's website.
2. Click on the "Get Started" button to begin the setup process.
3. Enter the required credentials for your Weaviate instance, including the URL, API key, and schema name.
4. Test the connection to ensure that the credentials are correct and the connection is successful.
5. Choose the tables or collections that you want to sync from your source connector to Weaviate.
6. Map the fields from your source connector to the corresponding fields in Weaviate.
7. Set up any necessary transformations or filters to ensure that the data is formatted correctly for Weaviate.
8. Schedule the sync to run at regular intervals or manually trigger it as needed.
9. Monitor the sync to ensure that the data is being transferred correctly and troubleshoot any issues that arise.
10. Once the sync is complete, verify that the data has been successfully transferred to Weaviate.

Step 3: Set up a connection to sync your Delighted data to Weaviate

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

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Delighted from the dropdown list of your configured sources.
Select your destination: Choose Weaviate from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Delighted objects you want to import data from towards Weaviate. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Delighted to Weaviate according to your settings.

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

Use Cases to transfer your Delighted data to Weaviate

Integrating data from Delighted to Weaviate provides several benefits. Here are a few use cases:

Advanced Analytics: Weaviate’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Delighted data, extracting insights that wouldn't be possible within Delighted alone.
Data Consolidation: If you're using multiple other sources along with Delighted, syncing to Weaviate 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.
Historical Data Analysis: Delighted has limits on historical data. Syncing data to Weaviate allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Weaviate provides robust data security features. Syncing Delighted data to Weaviate ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Weaviate can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Delighted data.
Data Science and Machine Learning: By having Delighted data in Weaviate, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Delighted provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Weaviate, providing more advanced business intelligence options. If you have a Delighted table that needs to be converted to a Weaviate table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

Configure a Delighted account as an Airbyte data source connector.
Configure Weaviate as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Delighted to Weaviate 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:

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

Talk to a data infrastructure expert

Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure.

Talk to sales

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

What sets Airbyte Apart

Modern GenAI Workflows

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

Move Large Volumes, Fast

Quickly get up and running with a 5-minute setup that supports both incremental and full refreshes, for databases of any size.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Fully Featured & Integrated

Airbyte automates schema evolution for seamless data flow, and utilizes efficient Change Data Capture (CDC) for real-time updates. Select only the columns you need, and leverage our dbt integration for powerful data transformations.

Enterprise Support with SLAs

Airbyte Self-Managed Enterprise comes with dedicated support and guaranteed service level agreements (SLAs), ensuring that your data movement infrastructure remains reliable and performant, and expert assistance is available when needed.

What our users say

Jean-Mathieu Saponaro

Data & Analytics Senior Eng Manager

"The intake layer of Datadog’s self-serve analytics platform is largely built on Airbyte.Airbyte’s ease of use and extensibility allowed any team in the company to push their data into the platform - without assistance from the data team!"

Learn more

Chase Zieman

Chief Data Officer

“Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.”

Learn more

Alexis Weill

Data Lead

“We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria. The value of being able to scale and execute at a high level by maximizing resources is immense”

Learn more

How to Sync Delighted to Weaviate Manually

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

Step 6:

Step 7:

Step 8:

FAQs

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is Delighted?

What data can you extract from Delighted?

Delighted's API provides access to various types of data related to customer feedback and satisfaction. The categories of data that can be accessed through Delighted's API are:
1. Survey Responses: This includes all the responses received from customers through Delighted's surveys. It includes both quantitative and qualitative data.
2. Metrics: This includes various metrics related to customer satisfaction, such as Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), and Customer Effort Score (CES).
3. Trends: This includes trends related to customer feedback and satisfaction over time. It helps businesses to identify patterns and make data-driven decisions.
4. Segmentation: This includes data related to customer segments, such as demographics, location, and behavior. It helps businesses to understand their customers better and tailor their offerings accordingly.
5. Integrations: Delighted's API also provides access to data from various integrations, such as Salesforce, HubSpot, and Slack. It helps businesses to streamline their workflows and improve their customer experience. Overall, Delighted's API provides a comprehensive set of data that businesses can use to measure and improve their customer satisfaction.

How do I transfer data from Delighted?

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 Delighted to Weaviate as a source connector (using Auth, or usually an API key)
2. Choose a destination (more than 50 available destination databases, data warehouses or lakes) to sync data too and set it up as a destination connector
3. Define which data you want to transfer from Delighted to Weaviate and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.

Back to all tutorials

Engineering Analytics

Sales & Support Analytics

How to load data from Delighted to Weaviate

Learn how to use Airbyte to synchronize your Delighted data into Weaviate within minutes.

Try Airbyte Cloud free

Deploy Airbyte Open Source

Step 1: Setup Delighted

Step 2: Setup Weaviate

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Delighted and Weaviate

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Delighted as a source connector (using Auth, or usually an API key)
set up Weaviate as a destination connector
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 Delighted

What is Weaviate

Integrate Delighted with Weaviate in minutes

Try for free now

Prerequisites

A Delighted account to transfer your customer data automatically from.
A Weaviate account.
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.

Step 1: Set up Delighted as a source connector

Step 2: Set up Weaviate as a destination connector

Step 3: Set up a connection to sync your Delighted data to Weaviate

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

Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
Choose your source: Select Delighted from the dropdown list of your configured sources.
Select your destination: Choose Weaviate from the dropdown list of your configured destinations.
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.
Select the data to sync: Choose the specific Delighted objects you want to import data from towards Weaviate. You can sync all data or select specific tables and fields.
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.
Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Delighted to Weaviate according to your settings.

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

Use Cases to transfer your Delighted data to Weaviate

Integrating data from Delighted to Weaviate provides several benefits. Here are a few use cases:

Advanced Analytics: Weaviate’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Delighted data, extracting insights that wouldn't be possible within Delighted alone.
Data Consolidation: If you're using multiple other sources along with Delighted, syncing to Weaviate 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.
Historical Data Analysis: Delighted has limits on historical data. Syncing data to Weaviate allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: Weaviate provides robust data security features. Syncing Delighted data to Weaviate ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: Weaviate can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Delighted data.
Data Science and Machine Learning: By having Delighted data in Weaviate, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Delighted provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Weaviate, providing more advanced business intelligence options. If you have a Delighted table that needs to be converted to a Weaviate table, Airbyte can do that automatically.