Big Data Engineering

Moonshadow provides software engineering services to help organizations process, store, retrieve, search, visualize and analyze big data streams more efficiently. Our patented solutions often speed up data pipelines by ten times while reducing cloud costs by 80%.

Today much of the world revolves around Big Data. Fields as diverse as weather forecasting, stock markets, health, mobile apps, connected vehicles and server farms all generate and use massive amounts of data. Artificial intelligence is entirely based on processing massive amounts of data. Data streams have grown so large that it has become very challenging to move, process, store, query and analyze the data, especially if the data needs to be available fast. And this is just the beginning. The size of all data is growing at 23% per year, doubling in just over three years.

The traditional solution to process more data is to deploy more servers. Many organizations experience that they constantly need to add new servers to keep up with their data growth. Server costs are increasing quickly and some organizations resort to deleting data they would really want to keep.

At Moonshadow we use a different strategy to work with large datasets: use existing hardware more efficiently. With our solutions we often achieve over 90% efficiency gains for structured data. This means we can transmit, process, store and retrieve ten times as much data using the same hardware. Our solutions can save organizations tens of thousands of dollars per month depending on their data use while speeding up data transmission, data processing and data retrieval.

Moonshadow provides both custom engineering services to develop custom data formats and processing pipelines as well as tools that organizations can integrate themselves in their own data processing environments.