Document-Oriented, NoSQL database. For storing and querying documents. Flexible and scalable(horizontal scalability) for various types of data. Flexible querying, secondary indexes, aggregation framework, geospatial queries, and more.
Time-Series Data handling. For use cases such as monitoring, IoT, real-time analytics, and sensor data. Handle high write throughput and efficiently store and query time-stamped data points. Uses its own query language, InfluxQL, optimized for time-series data that offers features like downsampling, continuous queries, retention policies etc.
Dealing with time-series data and require high write throughput and specialized querying capabilities - InfluxDB. General-purpose database with flexible data modeling and querying capabilities : MongoDB.