Algolia vs Elastic Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Build
- 10K search requests/month
- 50K records included
- 5K AI Recommendation requests/month
- 5K crawls/month
- 1 Generative Experience Guide included
Grow
- Keyword Search + Browse
- Query suggestions
- Rules: 10/index
- Manual synonyms
- Data transformation
- 30 days analytics retention
- Third party integrations + connectors
- US, UK, EU hosting locations
Grow Plus
- Rules: 10,000/index
- AI Synonyms
- AI Ranking
- Advanced Personalization
- Query Categorization
- Collections
- 90 days analytics retention
Elevate
- NeuralSearch
- AI Collections
- Smart Groups
- Real-time personalization
- 99.99% availability
- Access to SSO and enhanced SLA
- Access to enterprise-level Support plans
- Professional services available
Elasticsearch
- Build search and vector database applications.
- Serverless
- Hosted
- Self-managed
Elastic Observability
- Monitor health and resolve issues for apps and infrastructure.
- Serverless
- Hosted
- Self-managed
Elastic Security
- Protect, investigate, and respond to cyber threats.
- Serverless
- Hosted
- Self-managed
Algolia vs Elastic FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Algolia has a free plan. Elastic doesn't — though they do offer a free trial.
- How do they charge?
- Both use a usage-based model, so the comparison is straightforward — it comes down to features and limits at each price point.
- Which one is a better deal?
- Depends on what you need. Algolia: Algolia sits at the premium end of the search-as-a-service market — they're not trying to win on price against open-source alternatives like Meilisearch or Typesense. The custom pricing across three paid tiers signals they're targeting mid-market and enterprise teams where search is a core product feature, not an afterthought. Elastic: Elastic sits in the premium-to-enterprise range of the search and observability space, competing with Datadog, Splunk, and OpenSearch-based alternatives. They're not trying to win on price — they're positioning against Splunk on flexibility and against Datadog on breadth across search, observability, and security in one platform.
Keep tabs on both.
We'll monitor pricing changes for Algolia and Elastic and let you know when something moves.