Dr. Sum

Dr.Sum is a data analysis platform designed to enhance data utilization in enterprises. According to the vendor, it serves as an analytical database engine that specializes in efficient aggregation and processing of large volumes of data. With its comprehensive set of database management functions, Dr.Sum caters to small, medium, and large enterprises across various professions and industries, including business analysts, data analysts, data scientists, IT professionals, and finance professionals.

Key Features

Database for analysis: Dr.Sum engine provides a wide range of features for efficient database management. It allows users to connect with various data sources, design views, monitor server resources, and manage users and access permissions.

High-speed aggregation: Dr.Sum's database engine is optimized for high-speed data aggregation and processing without the need for complex tuning settings. It utilizes a patented columnar database structure for efficient aggregation of data stored on hard disks or SSDs. Additionally, the in-memory engine further enhances aggregation performance, especially when dealing with large datasets.

Infrastructure Environment: Dr.Sum enables data aggregation from disk storage, eliminating the need for expensive high-capacity memory servers and reducing server investment costs. For those who prefer a cloud-based solution, Dr.Sum offers a cloud version that simplifies infrastructure setup and management. Moreover, the SecureTransport tool seamlessly integrates data stored in on-premises environments.

Import various data: Dr.Sum provides convenient data import capabilities. The Excel Extractor allows the import of Excel files with complex layouts, converting them into a more manageable format. The Data Funnel feature facilitates the retrieval, processing, and storage of sensor data without the need for programming. It also includes functionality to transform sensor data into a more usable format by adding necessary processes.

Execute Python scripts: Dr.Sum supports the execution of Python scripts, enabling users to leverage extensive machine learning models. This empowers businesses to utilize the data stored in Dr.Sum for applications such as demand forecasting and predictive maintenance.