Too much information to fit on physical display surfaces: Apple Vision Pro offers an infinite display canvas that is an ideal environment for every design task. The Space, Perspective and Controls delivered by Apple Vision Pro are revolutionary. This demands new design to take advantage of this new platform. DADOS Lightning is designed to exploit Eye, Hand and Voice control throughout as seen in our product videos.

Too Much Complexity: Lightning’s spatial environment provides ease of use and increased productivity with drag and drop convenience. Analytics including BI, Data Science, Data Engineering and Data Analysis are built today primarily by writing code. With generic tools such as SQL, Python, HTML, CSS, Vega, VegaLite, R, and Julia, one can build everything. For specific tasks like ETL, Dataframe transformation, Chart Creation, Surface (Dashboard) Layout, it is far more productive to use a visual approach for that task. Code always will be part of the solution. We want to do everything possible to be better and go faster.

Poor Performance Due to Large Datasets: Datasets are growing in size and new data sources are multiplying. AI consumes massive data files for training accuracy. Legacy data access technologies using CSVs, JSON, and proprietary SQL Tables are slow to transfer to the process that needs them. At DADOS, we have built an entire new data transfer pipeline by integrating tech from many open-source projects into a lightning-fast data pipeline. These include Polars, Iceberg, Parquet, Arrow Flight, Arrow, and DuckDB, resulting in Arrow Tables in memory accessible locally from Swift UI.