Dropbase, the collaborative data import and data management platform, raised a $1.75M round led by Gradient Ventures (Google’s AI-focused venture fund), with participation from Y Combinator, Liquid 2 Ventures, Bragiel Brothers, Unpopular Ventures, and angel investors.
Founded by Jimmy Chan (CEO) and Ayazhan Zhakhan (CTO), Dropbase’s mission is to unleash data trapped in files or incompatible systems and automate data sharing. Dropbase helps companies import, validate, manage, and query all their data from CSV/Excel files inside fully-featured SQL databases optimized for handling large amounts of data, with no technical help required.
Also Read: LIZHI Unveils Proprietary ‘Voice Cloud’ Platform To Optimize Operations
“Oftentimes, critical business software systems don’t have API’s to access the data, yet this data is required to better understand the business and run operations”, said Chan. “To complicate matters, external data is usually messy, with a mix of data types, encodings, data placement, and a mismatch with how the destination system expects the data to be structured and formatted.”
“Integrating external data means that the data sender manually extracts data from a source system and exports it as a CSV file, uploads it to a cloud drive, SFTP, or as an email attachment, and sends it over to the data receiver,” said Zhakhan. “The receiver then has to download, map, clean, and re-upload the data, usually to a database with its own constraints. This happens each time data is shared between companies with incompatible systems. This process is quite inefficient.”
Dropbase‘s goal is to significantly improve this process, automate it, and make it easier for companies to import external data and combine it with internal data. More comprehensive data helps companies make better decisions, deliver a delightful customer experience, and improve business operations for customers such as the baby stroller brand, Mockingbird.
Dropbase believes that data analysts and operation managers should be able just open up their favorite data tools, and all the data they’ve imported or received from external partners should already be there, cleaned up, and ready to use. Data teams should never have to clean the same CSV file or data extract twice.
Comments are closed.