Noms vs TrailDB: What are the differences?

# Key Differences between Noms and TrailDB

Noms is a decentralized and immutable database, whereas TrailDB is a library for working with time series data efficiently.
Noms uses a content-addressable storage model, allowing for data to be stored in a version-controlled manner, while TrailDB uses a columnar format for storing time series data.
Noms provides built-in language features for data manipulation and querying, making it a versatile tool for managing structured data, whereas TrailDB focuses more on high-performance query capabilities for time series data.
Noms allows for complex data structures like trees and graphs to be efficiently stored and manipulated, unlike TrailDB which is optimized for time series data.
Noms supports seamless collaboration and synchronization through its version-control system, enabling multiple users to work on the same dataset simultaneously, a feature not present in TrailDB.
TrailDB is specifically designed for processing sequential data sets efficiently, making it more suitable for time series analysis tasks, while Noms is more general-purpose and can be used for a wide range of data management applications.

In Summary, Noms is a decentralized database with a content-addressable storage model and built-in language features for data manipulation, while TrailDB is a library optimized for working with time series data efficiently.