About Google Sheets
Google Sheets is an online spreadsheet app that lets users create and format spreadsheets while simultaneously working with other people. Businesses can use Google Sheets to maintain data consistency across departments and to ensure that every member of their team is on the same page.
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 Google Sheets data to Amazon Redshift
Load your Google Sheets data to Google BigQuery
ETL all your Google Sheets data to Snowflake
Move your Google Sheets 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
Google Sheets's End Points
Google Sheets Developer MetaData
Use developer metadata to keep track of a location or an object in a spreadsheet. This can help you maintain data organization and clarity, even as you scale or continue to add new rows of information.
Google Sheets Spreadsheets
Create new spreadsheets, look up existing spreadsheets via spreadsheet ID, or get data on portions of a spreadsheet using filters. These functions can help you understand and consolidate your data for big-picture business insights.
Google Sheets Values
Maintain full control over the values on your spreadsheet and add, clear, append, or update values as necessary. Use this flexibility to keep your data up-to-date and useful at all times.
Google Sheet
Use sheets to copy a single sheet from a spreadsheet to another spreadsheet. This can be especially useful when you’re integrating data from various sources or reorganizing your data structure for analytics.
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.
