RadarTrek Intel β monthly score updates
We track 40+ tools so you don't have to. Score changes, new tools, and new guides β once a month, no spam.
6 tools Β· 6 scored dimensions
Filter by pricing model and cost. Set minimum score thresholds on any dimension. Sort by any column. Every tool links to its full radar breakdown.
6 of 6 tools
Pricing model
Max monthly price
Min Developer UX
Min Relevance
Performance min
Price / Value min
Scalability min
Ecosystem min
| Algolia The gold standard for instant, typo-tolerant search | 91 | 96 | 95 | 96 | 58 | 88 | 92 | Free freemium | |
| Typesense Open-source Algolia alternative β fast and self-hostable | 87 | 90 | 88 | 90 | 88 | 80 | 75 | Free freemium | |
| Meilisearch Lightning-fast open-source search with minimal setup | 86 | 92 | 86 | 88 | 90 | 75 | 72 | Free freemium | |
| Elasticsearch The most powerful and flexible search engine β with complexity to match | 80 | 62 | 90 | 85 | 65 | 98 | 95 | Free freemium | |
| OpenSearch The open-source fork of Elasticsearch, AWS-backed | 80 | 60 | 88 | 83 | 90 | 96 | 85 | Free free | |
| Vespa Big tech-grade search and ranking β built by Yahoo, used at scale | 76 | 50 | 92 | 88 | 85 | 96 | 55 | Free free |
Click any tool name to see the full radar breakdown. β Back to Search overview
Each of the 6 columns is one independently scored dimension for search β developer ux, relevance, performance, and more. Scores run 0β100 and use the same methodology as every tool review and comparison page on RadarTrek, so setting a minimum threshold here filters by the exact same numbers shown elsewhere on the site.
Yes β filter by pricing model (free, freemium, paid, usage-based) and set a maximum monthly cost alongside any dimension score threshold, so you only see tools that fit both your budget and your minimum quality bar.
The main search category page shows one fixed ranking by overall weighted score. The screener lets you set your own filters and sort by any individual dimension, not just the overall score β useful when one specific dimension (not the overall average) is what actually matters for your use case.