Warehouses and Lakes
Finance & Ops Analytics

How to load data from Wrike to Snowflake destination

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

Wrike is an American project management application service provider which is based in San Jose, California. It is a cloud based association and project management tool that assists users to manage projects from start to finish, providing full visibility. Wrike is entirely a cloud-based project management platform for teams of 20+ which is suitable for both large program and SMBs. Wrike ransaks to discard complexity from work so people and teams can enforce at their best.

What is Snowflake destination

A cloud data platform, Snowflake Data Cloud provides a warehouse-as-a-service built specifically for the cloud. The Snowflake platform is designed to empower many types of data workloads, and offers secure, immediate, governed access to a comprehensive network of data. Snowflake’s innovative technology goes above the capabilities of the ordinary database, supplying users all the functionality of database storage, query processing, and cloud services in one package.

Integrate Wrike with Snowflake destination in minutes

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Prerequisites

  1. A Wrike account to transfer your customer data automatically from.
  2. A Snowflake destination 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 Wrike and Snowflake destination, for seamless data migration.

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

Step 1: Set up Wrike as a source connector

1. Open the Airbyte dashboard and click on "Sources" from the left-hand menu.
2. Click on "Create New Source" and select "Wrike" from the list of available connectors.
3. Enter a name for your Wrike source connector and click on "Next".
4. Enter your Wrike API credentials, including your Client ID, Client Secret, and Access Token. You can find these credentials by following the instructions in the Wrike API documentation.
5. Click on "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Wrike account.
6. Once the connection is successful, select the Wrike entities that you want to replicate in Airbyte. You can choose from tasks, folders, projects, and more.
7. Configure any additional settings for your Wrike source connector, such as the replication frequency and the number of records to fetch per API call.
8. Click on "Create Source" to save your Wrike source connector and start replicating data from Wrike to Airbyte.

Step 2: Set up Snowflake destination 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 Snowflake Data Cloud destination connector and click on it.

4. You will be prompted to enter your Snowflake account information, including your account name, username, and password.

5. After entering your account information, 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 Snowflake Data Cloud destination connector settings.

7. You can now use the Snowflake Data Cloud destination connector to transfer data from your Airbyte sources to your Snowflake account.

8. To set up a data transfer, navigate to the "Sources" tab on the left-hand side of the screen and select the source you want to transfer data from.

9. Click on the "Create New Connection" button and select the Snowflake Data Cloud destination connector as your destination.

10. Follow the prompts to set up your data transfer, including selecting the tables or data sources you want to transfer and setting up any necessary transformations or mappings.

11. Once you have set up your data transfer, click on the "Run" button to start the transfer process.

Step 3: Set up a connection to sync your Wrike data to Snowflake destination

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

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

Use Cases to transfer your Wrike data to Snowflake destination

Integrating data from Wrike to Snowflake destination provides several benefits. Here are a few use cases:

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

Wrapping Up

To summarize, this tutorial has shown you how to:

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

Frequently Asked Questions

What data can you extract from Wrike?

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

1. Tasks: Information related to tasks such as task name, description, due date, status, and assignee.  
2. Projects: Data related to projects such as project name, description, start and end dates, and project status.  
3. Users: Information about users such as user name, email address, and user role.  
4. Time tracking: Data related to time tracking such as time spent on tasks, time entries, and billable hours.  
5. Comments: Information related to comments such as comment text, author, and date.  
6. Attachments: Data related to attachments such as attachment name, type, and size.  
7. Custom fields: Information related to custom fields such as field name, type, and value.  
8. Folders: Data related to folders such as folder name, description, and folder structure.  
9. Reports: Information related to reports such as report name, description, and report data.  

Overall, Wrike's API provides access to a comprehensive set of data that can be used to enhance project management and collaboration.

What data can you transfer to Snowflake destination?

You can transfer a wide variety of data to Snowflake destination. 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 Wrike to Snowflake destination?

The most prominent ETL tools to transfer data from Wrike to Snowflake destination include:

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

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