Dualo vs HarperDB

Collaborative knowledge management for digital product teams.

User Researchers, Data Scientists, Product Marketers and many other roles within digital product teams produce tonnes of valuable insights through customer research and data analysis, but they're not easily accessible because this work is often conducted in silos. This is a problem because it leads to lengthy searching, repeated work, and a lack of engagement from stakeholders - meaning wasted time, money and opportunity.

Teams currently resort to generic multi-use tools such as Notion, Confluence and Drive to centralise valuable insight across teams, but they are not working. These all-in-one tools are not built for managing research, have very basic search functionality, and are impossible to keep fresh and up to date - ultimately leading to yet more silos.

Dualo is an integrated insights platform that is specifically designed for digital product teams. We're building a knowledge management system that reduces search effort, increases the visibility and impact of research findings, and uses AI to spot new patterns in your data - across the organisation.

Location: London, United Kingdom

Simplicity without Sacrifice

HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to handle most workloads on a single product. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.

HarperDB is a single model database that is highly performant and easy to use. The database is powered by a patent pending data storage algorithm that ingests unstructured and/or structured data into a fully indexed, single model data store. This allows for immediate complex querying with multi-join / multi-condition queries regardless of the origin of data . HarperDB provides standard ANSI SQL and native REST NoSQL interfaces.