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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
My DFS searches for a path by finding all the adjacent tiles and adding them to a stack. Then it moves to the tile on the stack and repeats this process either, till it finds the end or it runs out of new tiles on the stack. If it has found the end or a dead end, it reverts the steps up to a point, where another path is possible. That means, it gets in every little corner, before it finally finds the endpoint. The BFS might be so slow, because basically every new possible tile gets added to one big list that gets searched for every new possible tile. This naturally gets very big, berry fast, but is don't know any way to remove the tiles in this list that are not needed for comparisons anymore... Here is a Link to the code of the algorithms: Github
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