Datagran
Datagran, founded in 2017, offers an enterprise-grade data integration and AI platform, serving over 3000 customers with features like EL systems, AI Bots, and data visualization tools.
Company History
Datagran was founded in 2017. Since its inception, the company has raised over $5M in funding. It has rapidly grown to serve over 3000 customers globally. Datagran has established itself as a significant player in the data management sector by offering a comprehensive suite of data integration and transformation tools aimed at improving business efficiency and collaboration.
Services
Datagran provides an enterprise-grade platform designed to cater to both technical and non-technical users. The platform enables users to integrate data from multiple sources using a state-of-the-art EL (Extract and Load) system. It allows for the creation and transformation of data models and features custom logic creation for automated alerts that can be sent directly to Slack. Datagran's AI Bots facilitate business users in querying data without needing to access complex analytics tools, enhancing ease of use and accessibility.
Products
Datagran's product offerings include an EL system for data integration, AI Bots for data querying, and custom logic creation for alert notifications. Additionally, the platform enables data visualization in various commonly used tools, allowing for seamless data insights. The Destinations feature sends pipeline outputs to business applications in seconds. Datagran also provides a flexible framework that accommodates both technical and non-technical users for creating and sharing data models, thus supporting diverse business needs.
Customer Base
Datagran serves a broad customer base of over 3000 clients. The platform is designed to meet the needs of a wide range of businesses, from small enterprises to large corporations. Its enterprise-grade solution includes a free forever tier, making it accessible to various business sizes. The comprehensive set of tools offered by Datagran ensures that businesses can leverage their data to enhance decision-making processes and improve overall efficiency.