Posted on Data-Informed: Value of Geospatial Data Applications Extends Beyond IoT

As the Internet of Things (IoT) expands toward 21 billion devices in 2020, the volume of location data, along with all other data types, will only increase. The move toward a world of connected cars, smart devices, and intelligent sensors

Building a Low Latency Highly Scalable Data Serialization Protocol

At the heart of every big data solution, such as XAP, is data synchronization. While there are a number of solutions and approaches available today, they are either overly complex or incredibly inefficient. Fortunately, we have been able to combine

Availability and Consistency in the Presence of Partitions

The CAP theorem provides system designers with a choice between three guarantees: consistency, availability, and partition tolerance. While partitions are rare, there is an incredible range of flexibility for handling partitions and recovering from them. Thus, our goal is to

REST Data Service Over In-Memory Data Grid

Applications are written in diverse and often remote environments. Storing and accessing data needs to be simple and portable, which is why REST (representational state transfer) is often the go-to protocol for web services. And yet, using REST for data

What’s New in XAP 11.0

We have just released XAP 11.0 and we’re excited to share with you its new features (For a full list of the new features, see here) Geospatial API In today’s world geospatial data is on the rise—mobile phones and various sensors