Fastest Database for Reads: Top Databases for Efficient Data Retrieval
What is the Fastest Read Database? Apache Cassandra is widely considered the fastest database for reads, performance and scalability. It is a distributed nosql database that is suitable for big-data scenarios. MongoDB & Dynamo are also good NoSQL solutions suitable for applications. Postgres offers the best performance for traditional SQL RDMS services. Comparing Database Types for Read Performance Database TypeIndexingCachingTypical Read LatencyUse Case for Fast ReadsSQL DatabasesYesSometimes (depends on RDBMS)Milliseconds to secondsComplex queries with indexed columns, small to medium-sized datasets.NoSQL DatabasesVaries (generally more limited than SQL)YesMillisecondsLarge-scale applications, unstructured data, where specific items are fetched often.Distributed DatabasesYesYesMilliseconds to seconds depending on configuration and sizeBig Data applications, horizontal scaling across multiple nodes, distributed queries.In-Memory DatabasesYesN/A (entire dataset resides in memory)Microseconds to millisecondsUltra-low-latency applications, caching, real-time analytics, and high-throughput systems. Note that “Typical Read Latency” is a very rough estimate and can vary significantly depending on various factors like hardware, network latency, data…
