Elasticsearch vs Vespa

Elasticsearch9.2Visit Vespa8.5Visit

Higher score Elasticsearch #3 in Search Databases 9.2/10 Free plan · 14-day trial Free planFree trial✓ 2 of 2 features Visit Elasticsearch

vs

Vespa #8 in Search Databases 8.5/10 Paid ✓ 0 of 2 features Visit Vespa

• Elasticsearch fits best

  Scalable search and analytics teams

• Vespa fits best

  AI-heavy, distributed search applications

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Side by side

Feature	Elasticsearch 9.2/10 Visit ↗	Vespa 8.5/10 Visit ↗
At a glance
Editor score	9.2	8.5
Ranking	#3 in Search Databases	#8 in Search Databases
Best for	Scalable search and analytics teams	AI-heavy, distributed search applications
Pricing model	Free plan + paid	Paid
Starting price	—	$0.05/unit usage-based
Free plan	✓ (best)	—
Free trial	14 days	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Linux
Support	Phone, Live chat · 24/7	Email, Community, Docs
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Elasticsearch 2/2 · Vespa 0/2
Vector search	✓ (best)	Not checked yet
Faceted search	✓ (best)	Not checked yet
Specs
Primary search mode	Hybrid	Not checked yet
Deployment	Both	Both
Index limit	Not checked yet	Not checked yet
Query interface	REST	Not checked yet
Our review
Pros	Combines full-text, vector, semantic, hybrid, and geospatial search Supports distributed storage, replication, aggregations, and cluster scaling Runs managed, serverless, self-managed, on premises, or in clouds	Combines dense, lexical, hybrid, and structured search Supports real-time vector indexing, ranking, and inference Runs in Vespa Cloud or on self-managed infrastructure
Cons	Paid tiers begin at $99 per month Cloud pricing varies by provider, region, instance type, and usage Advanced capabilities are reserved for higher paid tiers	No free plan for evaluation or ongoing use Startup has shared resources and no autoscaling Advanced support tiers cost more per vCPU-hour
Our verdict	Elasticsearch is a distributed search and analytics engine for structured, unstructured, and vector data. It suits search and analytics teams building applications that need full-text retrieval, filtering, aggregations, real-time… Read the review →	Vespa is a distributed AI search and serving platform for teams building search, recommendation, personalization, navigation, and retrieval-augmented generation applications. It brings vector and tensor search, lexical retrieval with BM25,… Read the review →

Strengths and trade-offs

• Elasticsearch — where it wins

  • Combines full-text, vector, semantic, hybrid, and geospatial search
  • Supports distributed storage, replication, aggregations, and cluster scaling
  • Runs managed, serverless, self-managed, on premises, or in clouds

  Where it doesn't

  • Paid tiers begin at $99 per month
  • Cloud pricing varies by provider, region, instance type, and usage
  • Advanced capabilities are reserved for higher paid tiers

• Vespa — where it wins

  • Combines dense, lexical, hybrid, and structured search
  • Supports real-time vector indexing, ranking, and inference
  • Runs in Vespa Cloud or on self-managed infrastructure

  Where it doesn't

  • No free plan for evaluation or ongoing use
  • Startup has shared resources and no autoscaling
  • Advanced support tiers cost more per vCPU-hour

• Elasticsearch9.2/10 · Free plan · 14-day trial

  A broad hybrid search engine for teams that need scale, analytics, and vector retrieval.

  Visit ElasticsearchFull verdict →
• Vespa8.5/10 · Paid

  A deep, distributed search engine for teams building AI-heavy applications.

  Visit VespaFull verdict →