Buffer is a web and mobile-based platform that allows you to manage all of your company's social media activities from a single place. With Buffer, you can design, schedule, and share content on Instagram, Facebook, LinkedIn, Pinterest, and Twitter — then analyze the results of your campaigns to measure their success and understand how your community is responding to them.
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 Buffer data to Amazon Redshift
Load your Buffer data to Google BigQuery
ETL all your Buffer data to Snowflake
Move your Buffer 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
Buffer's End Points
Buffer Social Media Publishing Tools
Buffer's social media publishing tools allow you to tailor and perfect your posts to fit the nuances of each social network your company uses. Use the platform to design drafts of your posts, collaborate with team members, finetune your strategy, and plan the timing of each post for maximum effectiveness — all from a single platform that gives you a bird's-eye view of your content-lineup.
Buffer Customer Interaction Solutions
Buffer's platform enhances business-to-customer interactions by expanding your ability to immediately respond to social media conversations, resolve customer problems, and collaborate with the right team members to create a better, more interactive experience between your audience and brand. With Buffer's shared team inbox, you can interact with customers on a one-on-one basis across all your social media platforms — be it Facebook, Twitter, or Instragam — from a single interface. Buffer also includes 'collision detection' features — that show which team members are viewing a conversation to prevent duplicate responses — and the ability to leave notes for others who might respond to the conversation later.
Buffer Social Media Analytics
Buffer tracks data pertaining to all of your team's social media interactions — then uses this information to create performance reports that will help you improve customer engagement, grow your audience, and boost sales. With data on all of your social media platforms visible from a single, interactive analytics dashboard, everyone on your team has access to the information, metrics, and insights they need. Drill into statistics on individual posts and zoom out for general information. You can also customize reports to show specific team members exactly what they need to see.
Mode's End Points
Mode White-Label Embeds and Visualizations
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.