How to load data from Pivotal Tracker to DuckDB

Learn how to use Airbyte to synchronize your Pivotal Tracker data into DuckDB 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 Pivotal Tracker connector in Airbyte

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

Set up DuckDB for your extracted Pivotal Tracker data

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

Configure the Pivotal Tracker 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.

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 Pivotal Tracker as a source connector (using Auth, or usually an API key)
set up DuckDB 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 Pivotal Tracker

Pivotal Tracker is a project management tool that helps teams collaborate and manage their work efficiently. It provides a simple and intuitive interface for creating and prioritizing tasks, tracking progress, and communicating with team members. With Pivotal Tracker, teams can easily plan and execute their projects, breaking them down into manageable chunks and assigning tasks to team members. The tool also provides real-time visibility into project status, allowing teams to quickly identify and address any issues that arise. Pivotal Tracker is designed to help teams work more effectively, delivering high-quality results on time and within budget.

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 Pivotal Tracker with DuckDB in minutes

Try for free now

Prerequisites

A Pivotal Tracker account to transfer your customer data automatically from.
A DuckDB 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 Pivotal Tracker and DuckDB, for seamless data migration.

When using Airbyte to move data from Pivotal Tracker to DuckDB, it extracts data from Pivotal Tracker 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 Pivotal Tracker data for advanced analytics and insights within DuckDB, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Pivotal Tracker as a source connector

1. Go to the Airbyte website and sign up for an account.
2. Once you have signed up, log in to your account and click on the ""Sources"" tab.
3. Scroll down until you find the ""Pivotal Tracker"" source connector and click on it.
4. Click on the ""Create new connection"" button.
5. Enter your Pivotal Tracker API token in the appropriate field.
6. Enter the name of your Pivotal Tracker project in the appropriate field.
7. Choose the data you want to sync from Pivotal Tracker to Airbyte.
8. Click on the ""Test"" button to make sure the connection is working properly.
9. If the test is successful, click on the ""Save & Sync"" button to start syncing your Pivotal Tracker data to Airbyte.
10. You can now use Airbyte to analyze and visualize your Pivotal Tracker data.

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 Pivotal Tracker data to DuckDB

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

Use Cases to transfer your Pivotal Tracker data to DuckDB

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

Advanced Analytics: DuckDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Pivotal Tracker data, extracting insights that wouldn't be possible within Pivotal Tracker alone.
Data Consolidation: If you're using multiple other sources along with Pivotal Tracker, 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.
Historical Data Analysis: Pivotal Tracker has limits on historical data. Syncing data to DuckDB allows for long-term data retention and analysis of historical trends over time.
Data Security and Compliance: DuckDB provides robust data security features. Syncing Pivotal Tracker data to DuckDB ensures your data is secured and allows for advanced data governance and compliance management.
Scalability: DuckDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Pivotal Tracker data.
Data Science and Machine Learning: By having Pivotal Tracker data in DuckDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
Reporting and Visualization: While Pivotal Tracker 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 Pivotal Tracker 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:

Configure a Pivotal Tracker account as an Airbyte data source connector.
Configure DuckDB as a data destination connector.
Create an Airbyte data pipeline that will automatically be moving data directly from Pivotal Tracker 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:

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 Pivotal Tracker to DuckDB 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 Pivotal Tracker?

What data can you extract from Pivotal Tracker?

Pivotal Tracker's API provides access to a wide range of data related to software development projects. The following are the categories of data that can be accessed through the API:

1. Projects: Information about the projects, including their names, descriptions, and IDs.

2. Stories: Details about the individual stories within a project, including their titles, descriptions, and statuses.

3. Epics: Information about the epics within a project, including their titles, descriptions, and statuses.

4. Tasks: Details about the tasks associated with a story, including their titles, descriptions, and statuses.

5. Comments: Information about the comments made on stories, epics, and tasks.

6. Memberships: Details about the members of a project, including their names, email addresses, and roles.

7. Labels: Information about the labels used to categorize stories within a project.

8. Iterations: Details about the iterations within a project, including their start and end dates.

9. Activity: Information about the activity within a project, including changes made to stories, epics, and tasks.

Overall, Pivotal Tracker's API provides a comprehensive set of data that can be used to track and manage software development projects.

How do I transfer data from Pivotal Tracker?

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 Pivotal Tracker 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 Pivotal Tracker 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.

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

Databases

Engineering Analytics

How to load data from Pivotal Tracker to DuckDB

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

Try Airbyte Cloud free

Deploy Airbyte Open Source

TL;DR

What is Pivotal Tracker

What is DuckDB

Prerequisites

Step 1: Setup Pivotal Tracker

Step 2: Setup DuckDB

Step 3: Setup a connection Use Cases Wrapping Up

Example H2

Example H3

Sync data between Pivotal Tracker and DuckDB

Get your data syncing in minutes

Try Airbyte free

TL;DR

set up Pivotal Tracker as a source connector (using Auth, or usually an API key)
set up DuckDB 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 Pivotal Tracker

What is DuckDB

Integrate Pivotal Tracker with DuckDB in minutes

Try for free now

Prerequisites

A Pivotal Tracker account to transfer your customer data automatically from.
A DuckDB 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 Pivotal Tracker as a source connector

Step 2: Set up DuckDB as a destination connector

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

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

Use Cases to transfer your Pivotal Tracker data to DuckDB

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

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