About Pinterest
Pinterest is a visual discovery engine that allows people to discover information using images, GIFs, and videos. Users can create collections of images, called boards, and save their favorite images for later. Alternatively, businesses can use the platform to share their products and services, spreading awareness and reaching new audiences.
About Mode
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your Pinterest data to Amazon Redshift
Load your Pinterest data to Google BigQuery
ETL all your Pinterest data to Snowflake
Move your Pinterest data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Pinterest's End Points
Pinterest Boards
You can create, delete, and edit boards for authenticated users. Also fetch boards and Pins on a board and use this information to improve your efforts.
Pinterest Pins
Use the API to create, edit and delete Pins for authenticated users. You can also fetch Pins, boards and the Pins on a board for any user. This will help you understand user preference, UX, and more.
Pinterest Users
With the Pinterest API, you can get a lot of user information, including profile info, boards, suggested boards, and following relationships. Use this data to better understand users and send more targeted, accurate communication.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode's White-Label Embeds allow you to integrate customized, interactive visualizations, and analytics into your applications — so your customers can access powerful reporting that seamlessly blends with your apps. White-Label Embeds also secure your data by ensuring that specific customers see appropriate information only. Lastly, Mode includes pre-built charts and the ability customize your visualizations in JavaScript, HTML, and CCS.
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.
