MapD vs TrailDB: What are the differences?
Developers describe MapD as "Open source GPU-Powered Database". Interactively query and visualize massive datasets with the parallel power of GPUs. On the other hand, TrailDB is detailed as "An efficient tool for storing and querying series of events, by AdRoll". TrailDB's secret sauce is data compression. It leverages predictability of time-based data to compress your data to a fraction of its original size. In contrast to traditional compression, you can query the encoded data directly, decompressing only the parts you need.
MapD and TrailDB can be categorized as "Databases" tools.
MapD and TrailDB are both open source tools. MapD with 1.91K GitHub stars and 271 forks on GitHub appears to be more popular than TrailDB with 962 GitHub stars and 64 GitHub forks.