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Benchmarks

Amgix Now Benchmarks Series

  • Keyword Search Benchmarks

    Detailed metrics side-by-side with Typesense, Meilisearch, and Elasticsearch:

  • Hybrid Search Benchmarks

    Detailed metrics of Amgix Now hybrid search performance:

    • Load Tests: CPU Hybrid (Coming Soon) - Hybrid under concurrent loads
    • Load Tests: GPU Hybrid (Coming Soon) - Hybrid under concurrent loads

Amgix Now Load Tests: Mixed Workload

This post is part of Amgix Now Benchmarks Series

Amgix Now - Load Test: Mixed Workload

In the first two Amgix Now benchmark posts we looked at relevance (how well it is able to find what a user is looking for) and search performance under load (how many searches can it handle). This report focuses on Amgix Now performance under mixed concurrent workloads.

Most real-world applications don't just search. Documents are also being added, updated, and deleted. The mixed workload tests here are designed to simulate that workload: mostly search queries (80%), some upserts (19%), a few deletes (1%). The ability of the search engine to sustain this mixed workload profile under concurrency is an important metric to consider for the search engine viability in production use.

For context, we are also including results from three other popular search engines: Typesense, Meilisearch, and Elasticsearch. We subjected all engines (running with constrained CPU resources) to various levels of concurrent users (from 10 to 1500) to learn how they behave under pressure.

Amgix Now Load Tests: Search Only

This post is part of Amgix Now Benchmarks Series

Amgix Now - Load Test: Search Only

In our previous benchmarks we focused on the relevance and latency metrics of Amgix Now (and three other search engines) across a diverse set of datasets. This report focuses on Amgix Now search performance under concurrent loads. For context, we are also including results from three other popular search engines: Typesense, Meilisearch, and Elasticsearch. We subjected all engines (running with constrained CPU resources) to various levels of concurrent users (from 10 to 1500) to learn how they behave under pressure. Some of the results genuinely surprised us.

Amgix Now Benchmarks: Relevance and Latencies

This post is part of Amgix Now Benchmarks Series

Amgix Now - Benchmarks: Relevance

This report focuses on Amgix Now benchmarks, specifically search relevance and latencies across four different datasets. For context, we are including results from three other popular search engines: Typesense, Meilisearch, and Elasticsearch, tested against the same datasets.

Amgix One Under Load: How Much Hybrid Search Can a Single Container Handle?

Amgix One, Keyword, 225 Locust Users

We designed Amgix One to make deployment simple. It's a great choice if you are just starting out with Amgix, or if you have moderate requirements. But what does "moderate" mean in this context? How much work can Amgix One handle? What sort of performance can you expect from this deployment? And what happens if you push it beyond those limits?