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.
Elevate
- Volume-based discounts
- Custom search requests and records
- 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
Grow Plus
- 10K search requests /month included then $1.75 per additional 1K search requests
- 100K records included then $0.40 per additional 1K records
- Rules: 10,000/index
- AI Synonyms
- AI Ranking
- Advanced Personalization
- Query Categorization
- Collections
- 90 days analytics retention
Grow
- 10K search requests /month included then $0.50 per additional 1K search requests
- 100K records included then $0.40 per additional 1K records
- 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
Free
- 10K search requests/month
- 50K records included
- 5K recommendation requests/month
- 5K crawls/month
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?
- Different approach here. Algolia uses hybrid pricing, while Elastic goes with usage-based. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Algolia: Algolia sits toward the premium end of the search-as-a-service category — it's not competing with cheap open-source alternatives like Elasticsearch on cost, it's competing on speed and developer experience. They're clearly chasing product teams who'll pay more for a polished, low-latency search API rather than budget-conscious teams willing to self-host. 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.
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