Redis JSON is a real-time document store that allows developers to build modern applications using a dynamic, hierarchical JSON document model. It offers native indexing, querying, and full-text search capabilities powered by Redis Search. The solution has been designed to provide the same simplicity, scalability, and speed as Redis, with improved performance in various benchmarks against comparable players like MongoDB and ElasticSearch. Redis JSON's latencies for reads, writes, and searches under load are far more stable in the higher percentiles than ElasticSearch and MongoDB. It also handles an increasingly higher overall throughput when increasing the write ratio while ElasticSearch decreases the overall throughput it can handle when the write ratio increases. The solution has been tested with various workloads, including a mix of reads, writes, and search queries, and has shown superior performance in terms of throughput and latency compared to MongoDB and ElasticSearch. Redis JSON enables up to 50.8x more ops/sec than MongoDB and up to 7x times more ops/sec than ElasticSearch for mixed workloads. It also maintains sub-millisecond latencies across all analyzed latency percentiles, making it a stable solution for real-time updates and search operations.