How to load data from Dixa to DuckDB

Learn how to use Airbyte to synchronize your Dixa data into DuckDB within minutes.

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Set up a Dixa connector in Airbyte

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

Set up DuckDB for your extracted Dixa data

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

Configure the Dixa to DuckDB 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.
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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 Dixa as a source connector (using Auth, or usually an API key)
  2. set up DuckDB 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 Dixa

Dixa is the customer service platform that has everything you need for connected experiences. Dixa is also a conversational customer engagement software that connects brands with customers through real-time communication. It is The Customer Friendship Platform that helps brands to build stronger bonds with their customers and eliminate bad customer service through unifying all communication channels and customer data in one platform. Dixa is a rapid growing multichannel customer service software which provides the best experience for agents and customers alike.

What is DuckDB

DuckDB is an in-process SQL OLAP database management system. It has strong support for SQL. DuckDB is borrowing the SQLite shell implementation. Each database is a single file on disk. It’s analogous to “ SQLite for analytical (OLAP) workloads” (direct comparison on the SQLite vs DuckDB paper here), whereas SQLite is for OLTP ones. But it can handle vast amounts of data locally. It’s the smaller, lighter version of Apache Druid and other OLAP technologies.

Integrate Dixa with DuckDB in minutes

Try for free now

Prerequisites

  1. A Dixa account to transfer your customer data automatically from.
  2. A DuckDB 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 Dixa and DuckDB, for seamless data migration.

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

Step 1: Set up Dixa as a source connector

1. First, navigate to the Dixa 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 Dixa API credentials, including your API key and API secret.
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Dixa account.
6. Once the test is successful, click "Next".
7. Select the data you want to replicate from Dixa, such as conversations, customers, or agents.
8. Choose the replication frequency and the initial replication start date.
9. Click "Create connection" to save your settings and start replicating data from Dixa to Airbyte. 10. You can monitor the progress of your replication in the Airbyte dashboard and view the data in your destination data warehouse or data lake.

Step 2: Set up DuckDB as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button located in the top right corner of the screen.
3. Scroll down the list of available destinations until you find "DuckDB" and click on it.
4. Fill in the required information for your DuckDB database, including the host, port, database name, username, and password.
5. Test the connection to ensure that the information you provided is correct and that Airbyte can successfully connect to your DuckDB database.
6. If the connection is successful, click on the "Save" button to save your DuckDB destination connector.
7. You can now use this connector to transfer data from your source connectors to your DuckDB database. Simply select the DuckDB destination connector when setting up your data integration pipelines in Airbyte.

Step 3: Set up a connection to sync your Dixa data to DuckDB

Once you've successfully connected Dixa as a data source and DuckDB 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 Dixa from the dropdown list of your configured sources.
  3. Select your destination: Choose DuckDB 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 Dixa objects you want to import data from towards DuckDB. 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 Dixa to DuckDB according to your settings.

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

Use Cases to transfer your Dixa data to DuckDB

Integrating data from Dixa to DuckDB provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Dixa account as an Airbyte data source connector.
  2. Configure DuckDB as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Dixa to DuckDB 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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Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
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Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
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Sync with Airbyte

1. First, navigate to the Dixa 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 Dixa API credentials, including your API key and API secret.
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Dixa account.
6. Once the test is successful, click "Next".
7. Select the data you want to replicate from Dixa, such as conversations, customers, or agents.
8. Choose the replication frequency and the initial replication start date.
9. Click "Create connection" to save your settings and start replicating data from Dixa to Airbyte. 10. You can monitor the progress of your replication in the Airbyte dashboard and view the data in your destination data warehouse or data lake.

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button located in the top right corner of the screen.
3. Scroll down the list of available destinations until you find "DuckDB" and click on it.
4. Fill in the required information for your DuckDB database, including the host, port, database name, username, and password.
5. Test the connection to ensure that the information you provided is correct and that Airbyte can successfully connect to your DuckDB database.
6. If the connection is successful, click on the "Save" button to save your DuckDB destination connector.
7. You can now use this connector to transfer data from your source connectors to your DuckDB database. Simply select the DuckDB destination connector when setting up your data integration pipelines in Airbyte.

Once you've successfully connected Dixa as a data source and DuckDB 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 Dixa from the dropdown list of your configured sources.
  3. Select your destination: Choose DuckDB 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 Dixa objects you want to import data from towards DuckDB. 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 Dixa to DuckDB according to your settings.

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

How to Sync Dixa to DuckDB Manually

FAQs

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.

Dixa is the customer service platform that has everything you need for connected experiences. Dixa is also a conversational customer engagement software that connects brands with customers through real-time communication. It is The Customer Friendship Platform that helps brands to build stronger bonds with their customers and eliminate bad customer service through unifying all communication channels and customer data in one platform. Dixa is a rapid growing multichannel customer service software which provides the best experience for agents and customers alike.

Dixa's API provides access to a wide range of data related to customer interactions and support activities. The following are the categories of data that can be accessed through Dixa's API:  

1. Conversations: This includes data related to customer conversations such as chat transcripts, call recordings, and email threads.  
2. Customers: This includes data related to customer profiles such as contact information, purchase history, and preferences.  
3. Agents: This includes data related to agent profiles such as performance metrics, availability, and skills.  
4. Tickets: This includes data related to support tickets such as status, priority, and resolution time.  
5. Analytics: This includes data related to performance metrics such as response time, resolution rate, and customer satisfaction.  
6. Integrations: This includes data related to third-party integrations such as CRM systems, marketing automation tools, and payment gateways.  

Overall, Dixa's API provides a comprehensive set of data that can be used to improve customer support operations and enhance the customer experience.

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

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.

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
Databases
Sales & Support Analytics

How to load data from Dixa to DuckDB

Learn how to use Airbyte to synchronize your Dixa data into DuckDB within minutes.

TL;DR
What is Dixa
What is DuckDB
Prerequisites
Step 1: Setup Dixa
Step 2: Setup DuckDB
Step 3: Setup a connectionUse CasesWrapping Up
Example H2
Example H3

Sync data between Dixa and DuckDB

Try Airbyte free

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 Dixa as a source connector (using Auth, or usually an API key)
  2. set up DuckDB 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 Dixa

Dixa is the customer service platform that has everything you need for connected experiences. Dixa is also a conversational customer engagement software that connects brands with customers through real-time communication. It is The Customer Friendship Platform that helps brands to build stronger bonds with their customers and eliminate bad customer service through unifying all communication channels and customer data in one platform. Dixa is a rapid growing multichannel customer service software which provides the best experience for agents and customers alike.

What is DuckDB

DuckDB is an in-process SQL OLAP database management system. It has strong support for SQL. DuckDB is borrowing the SQLite shell implementation. Each database is a single file on disk. It’s analogous to “ SQLite for analytical (OLAP) workloads” (direct comparison on the SQLite vs DuckDB paper here), whereas SQLite is for OLTP ones. But it can handle vast amounts of data locally. It’s the smaller, lighter version of Apache Druid and other OLAP technologies.

Integrate Dixa with DuckDB in minutes

Try for free now

Prerequisites

  1. A Dixa account to transfer your customer data automatically from.
  2. A DuckDB 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 Dixa and DuckDB, for seamless data migration.

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

Step 1: Set up Dixa as a source connector

1. First, navigate to the Dixa 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 Dixa API credentials, including your API key and API secret.
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Dixa account.
6. Once the test is successful, click "Next".
7. Select the data you want to replicate from Dixa, such as conversations, customers, or agents.
8. Choose the replication frequency and the initial replication start date.
9. Click "Create connection" to save your settings and start replicating data from Dixa to Airbyte. 10. You can monitor the progress of your replication in the Airbyte dashboard and view the data in your destination data warehouse or data lake.

Step 2: Set up DuckDB as a destination connector

1. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
2. Click on the "Add Destination" button located in the top right corner of the screen.
3. Scroll down the list of available destinations until you find "DuckDB" and click on it.
4. Fill in the required information for your DuckDB database, including the host, port, database name, username, and password.
5. Test the connection to ensure that the information you provided is correct and that Airbyte can successfully connect to your DuckDB database.
6. If the connection is successful, click on the "Save" button to save your DuckDB destination connector.
7. You can now use this connector to transfer data from your source connectors to your DuckDB database. Simply select the DuckDB destination connector when setting up your data integration pipelines in Airbyte.

Step 3: Set up a connection to sync your Dixa data to DuckDB

Once you've successfully connected Dixa as a data source and DuckDB 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 Dixa from the dropdown list of your configured sources.
  3. Select your destination: Choose DuckDB 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 Dixa objects you want to import data from towards DuckDB. 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 Dixa to DuckDB according to your settings.

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

Use Cases to transfer your Dixa data to DuckDB

Integrating data from Dixa to DuckDB provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Dixa account as an Airbyte data source connector.
  2. Configure DuckDB as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Dixa to DuckDB 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:

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

Dixa
DuckDB

Related Syncs with Dixa

Tags

Databases

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

Dixa
DuckDB

Related Syncs with Dixa

Dixa to DuckDB
Dixa to DynamoDB
Dixa to Elasticsearch
Dixa to Google Firestore
Dixa to Google Pubsub
Dixa to MSSQL - SQL Server
Dixa to MySQL
Dixa to Oracle DB
Dixa to PostgreSQL

Tags

Databases

Ready to get started?

Try Airbyte Cloud freeTalk to our team

Frequently Asked Questions

What data can you extract from Dixa?

Dixa's API provides access to a wide range of data related to customer interactions and support activities. The following are the categories of data that can be accessed through Dixa's API:  

1. Conversations: This includes data related to customer conversations such as chat transcripts, call recordings, and email threads.  
2. Customers: This includes data related to customer profiles such as contact information, purchase history, and preferences.  
3. Agents: This includes data related to agent profiles such as performance metrics, availability, and skills.  
4. Tickets: This includes data related to support tickets such as status, priority, and resolution time.  
5. Analytics: This includes data related to performance metrics such as response time, resolution rate, and customer satisfaction.  
6. Integrations: This includes data related to third-party integrations such as CRM systems, marketing automation tools, and payment gateways.  

Overall, Dixa's API provides a comprehensive set of data that can be used to improve customer support operations and enhance the customer experience.

What data can you transfer to DuckDB?

You can transfer a wide variety of data to DuckDB. 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 Dixa to DuckDB?

The most prominent ETL tools to transfer data from Dixa to DuckDB include:

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

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

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

Dixa
DuckDB

Related Syncs with Dixa

Dixa to DuckDB
Dixa to DynamoDB
Dixa to Elasticsearch
Dixa to Google Firestore
Dixa to Google Pubsub
Dixa to MSSQL - SQL Server
Dixa to MySQL
Dixa to Oracle DB
Dixa to PostgreSQL

Tags

Databases

Connectors Used

Dixa
DuckDB

Related Syncs with Dixa

Dixa to DuckDB
Dixa to DynamoDB
Dixa to Elasticsearch
Dixa to Google Firestore
Dixa to Google Pubsub
Dixa to MSSQL - SQL Server
Dixa to MySQL
Dixa to Oracle DB
Dixa to PostgreSQL

Tags

Databases