Why RedisJSON Outperforms MongoDB and ElasticSearch in Real‑World Benchmarks

Overview

Recent official performance tests show that RedisJSON (RedisSearch) dramatically outperforms MongoDB and ElasticSearch. For isolated writes RedisJSON is 5.4× faster than MongoDB and over 200× faster than ElasticSearch; for isolated reads it is 12.7× faster than MongoDB and over 500× faster than ElasticSearch.

In mixed workloads, RedisJSON maintains stable search and read performance while ElasticSearch degrades.

RedisJSON delivers roughly 50× higher operations per second than MongoDB and 7× higher than ElasticSearch, with latency up to 90× lower.

Query Engine

The RedisJSON development emphasizes performance. Version 2.2 improves load and query speed by 1.7× over 2.0, and also reduces throughput latency.

2.1 Load Optimization

Benchmark results from the New York City taxi dataset show consistent performance gains across each new RedisJSON release.

2.2 Full‑Text Search Optimization

Indexing 5.9 million Wikipedia abstracts and running full‑text queries demonstrates substantial improvements in write, read, and search latency from v2.0 to v2.2.

Comparison with Other Frameworks

RedisJSON was benchmarked against MongoDB 5.0.3 and ElasticSearch 7.15 using the YCSB suite on identical AWS m5d.8xlarge clusters (one client + three database nodes). Tests covered pure CRUD, mixed read/write/search, and latency analysis.

3.1 Benchmark Setup

MongoDB 5.0.3

: three‑member replica set with text index. ElasticSearch 7.15: 15 shards, query cache enabled, RAID‑0 on local NVMe SSDs. RedisJSON*: RediSearch 2.2 + RedisJSON 2.0 on OSS Redis Cluster v6.2.6 with 27 shards across three nodes.

3.2 100 % Write Benchmark

RedisJSON* ingests data 8.8× faster than ElasticSearch and 1.8× faster than MongoDB, while keeping sub‑millisecond latency; 99 % of requests complete within 1.5 ms.

3.3 100 % Read Benchmark

RedisJSON reads 15.8× more operations than ElasticSearch and 2.8× more than MongoDB, maintaining sub‑millisecond latency across the entire range.

3.4 Mixed Read/Write/Search Benchmark

In a realistic 65 % search / 35 % read workload, RedisJSON* sustains throughput while ElasticSearch degrades as write ratio increases. RedisJSON* achieves up to 16 K ops/sec versus 424 ops/sec for MongoDB.

3.5 Full Latency Analysis

Across all latency percentiles, RedisJSON* consistently stays in the sub‑millisecond range (p99 ≈ 0.23 ms), far ahead of MongoDB (≈ 5 ms) and ElasticSearch (≈ 10 ms). The advantage holds for reads, writes, and searches.