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How to load data from Timely to Google Firestore

Learn how to use Airbyte to synchronize your Timely data into Google Firestore 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 Timely as a source connector (using Auth, or usually an API key)
  2. set up Google Firestore 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 Timely

Timely's time tracking software , which helps teams stay connected and report accurately across client, project and employee hours. Using Timely's software one can manage their business, connect with their peers and access education from global industry. Timely is used to narrate something that happens at the right time or the scheduled time, as in a timely payment or a timely delivery. Timely Event Software, the top event technology and tools to automate and simplify the management of events, venues and learning.

What is Google Firestore

Google Firestore is a cloud-based NoSQL document database that allows developers to store, sync, and query data for their web, mobile, and IoT applications. It is designed to provide real-time updates and offline support, making it ideal for applications that require fast and responsive data access. Firestore offers a flexible data model, allowing developers to store data in collections and documents, and supports complex queries and transactions. It also integrates with other Google Cloud services, such as Cloud Functions and Cloud Storage, to provide a complete backend solution for building scalable and reliable applications.

Integrate Timely with Google Firestore in minutes

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Prerequisites

  1. A Timely account to transfer your customer data automatically from.
  2. A Google Firestore 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 Timely and Google Firestore, for seamless data migration.

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

Step 1: Set up Timely as a source connector

1. First, navigate to the Timely source connector page on Airbyte.com.
2. Click on the "Create new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Timely API key and click "Test".
5. If the test is successful, click "Next".
6. Select the data you want to replicate and click "Next".
7. Choose the destination you want to replicate your data to and click "Next".
8. Configure any additional settings you want and click "Create connection".
9. Your Timely source connector is now connected and ready to replicate data to your chosen destination.

Step 2: Set up Google Firestore 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 "Google Firestore" destination connector and click on it.
4. You will be prompted to enter your Google Cloud Platform project ID and a service account key. Follow the instructions provided to obtain these credentials.
5. Once you have entered your credentials, click on the "Test" button to ensure that the connection is successful.
6. If the test is successful, click on the "Save" button to save your configuration.
7. You can now use the Google Firestore destination connector to transfer data from your source to your Google Firestore database.
8. To set up a data integration pipeline, navigate to the "Sources" tab and select the source connector you wish to use.
9. Follow the instructions provided to configure your source connector and select the Google Firestore destination connector as your destination.
10. Once you have configured your pipeline, click on the "Run" button to start transferring data from your source to your Google Firestore database.

Step 3: Set up a connection to sync your Timely data to Google Firestore

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

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

Use Cases to transfer your Timely data to Google Firestore

Integrating data from Timely to Google Firestore provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Timely account as an Airbyte data source connector.
  2. Configure Google Firestore as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Timely to Google Firestore 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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Talk to a data infrastructure expert
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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 Timely?

Timely's API provides access to a wide range of data related to time tracking and project management. The following are the categories of data that can be accessed through Timely's API:  

1. Time tracking data: This includes data related to the time spent on tasks, projects, and clients.  
2. Project management data: This includes data related to project timelines, milestones, and budgets.  
3. User data: This includes data related to user profiles, roles, and permissions.  
4. Billing data: This includes data related to invoices, payments, and expenses.  
5. Reporting data: This includes data related to reports on time tracking, project management, and billing.  
6. Integration data: This includes data related to integrations with other tools and platforms.  7. Custom data: This includes data that can be customized based on the specific needs of the user.  

Overall, Timely's API provides a comprehensive set of data that can be used to improve time tracking, project management, and billing processes.

What data can you transfer to Google Firestore?

You can transfer a wide variety of data to Google Firestore. 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 Timely to Google Firestore?

The most prominent ETL tools to transfer data from Timely to Google Firestore include:

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

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