Connectors

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Tempo

Data replication

Sync Tempo data anywhere.

Tempo is a global software-as-a-service company (SaaS) focused on providing companies with productivity and time management tools to drive more efficient and successful business. Products include resource planning, budget management, and world-class time tracking solutions for Jira (Tempo has claimed ownership to the #1 Jira time tracking app since 2010). Tempo drives business success by providing software that affords insights into teams’ productivity capabilities.

  • Standard
  • Beta
  • 4 streams
Sync Tempo dataRead the docs
Tempo

One connector

Everything Tempo can do in Airbyte

  • Sync to your warehouse

    Land 4 Tempo tables in 50+ destinations on a schedule you control.

    Sync to your warehouse

    Land 4 Tempo tables in 50+ destinations on a schedule you control.

  • Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

    Incremental syncs

    Pull only the records that changed since the last run instead of reloading everything.

  • One authorization

    Authenticate Tempo once and Airbyte keeps every scheduled sync running on it.

    One authorization

    Authenticate Tempo once and Airbyte keeps every scheduled sync running on it.

  • Cloud or self-hosted

    Run the Tempo connector on Cloud, Self-Managed Enterprise.

    Cloud or self-hosted

    Run the Tempo connector on Cloud, Self-Managed Enterprise.

Specifications

What to know before you sync Tempo

  • Support levelStandard
  • Available onCloud, Self-Managed Enterprise
  • Connector version0.4.62
  • Release stageBeta

Sync capabilities

  • Full Refresh SyncSupported
  • Incremental SyncSupported
  • Destinations50+ Airbyte connectors

Set up in 10 steps

  1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.
  2. Click on the "Add Source" button in the top right corner of the screen.
  3. In the search bar, type "Tempo" and select the Tempo source connector from the list of available connectors.
  4. Enter a name for the connector and click on the "Next" button.
  5. Enter your Tempo API credentials, including the API key and the base URL for your Tempo instance.
  6. Test the connection to ensure that the credentials are correct and the connection is successful.
  7. Select the data you want to replicate from Tempo, including the projects, tasks, and time entries.
  8. Choose the replication frequency and the destination where you want to store the replicated data.
  9. Click on the "Create Source" button to save the connector and start the replication process.
  10. Monitor the replication process and troubleshoot any errors that may occur using the Airbyte platform's built-in tools and resources.

4 streams

Every table you can sync from Tempo

  • Accounts

  • Customers

  • Worklogs

  • Workload Schemes

Authentication

Authenticate Tempo once

  • API token

    Tempo API Token. Go to Tempo>Settings, scroll down to Data Access and select API integration.

    API token

    Tempo API Token. Go to Tempo>Settings, scroll down to Data Access and select API integration.

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Common questions

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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.

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

1. Time tracking data: This includes data related to time entries, such as start and end times, duration, and comments.

2. Resource management data: This includes data related to resources, such as employee information, team information, and workload.

3. Project management data: This includes data related to projects, such as project information, project status, and project timelines.

4. Billing and invoicing data: This includes data related to billing and invoicing, such as billing rates, invoices, and payment information.

5. Reporting data: This includes data related to reporting, such as timesheet reports, project reports, and resource reports.

6. Custom fields data: This includes data related to custom fields, such as custom fields for time entries, resources, and projects.

Overall, Tempo's API provides a comprehensive set of data that can be used to manage time, resources, and projects more effectively.

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Add Source" button in the top right corner of the screen.

3. In the search bar, type "Tempo" and select the Tempo source connector from the list of available connectors.

4. Enter a name for the connector and click on the "Next" button.

5. Enter your Tempo API credentials, including the API key and the base URL for your Tempo instance.

6. Test the connection to ensure that the credentials are correct and the connection is successful.

7. Select the data you want to replicate from Tempo, including the projects, tasks, and time entries.

8. Choose the replication frequency and the destination where you want to store the replicated data.

9. Click on the "Create Source" button to save the connector and start the replication process.

10. Monitor the replication process and troubleshoot any errors that may occur using the Airbyte platform's built-in tools and resources.

The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.

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.

Start moving Tempo data today

Free for 14 days on Airbyte Cloud. Set up the Tempo connector once and let Airbyte keep it in sync.

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