Coveo vs Elasticsearch
On the evidence we track, Elasticsearch leads this comparison with a composite score of 73/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for search engines. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Coveo
A search and discovery platform that uses machine learning to understand user intent, personalize search results, and deliver content recommendations. It integrates with content management systems and AI assistants through hosted services.
Elasticsearch
LeaderA search platform that distributes data across multiple nodes to handle large-scale indexing and retrieval through standard web APIs.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Coveo
Contact sales for pricing. Annual contracts, available in multiple currencies (CAD, EUR, GBP, AUD). 3-year contract terms standard.
- Pro+Contact sales
- Unified index
- Sitecore connector + 2 cloud connectors
- Multi-site architecture
- Sitecore Hive UI integration
- Rules engine
- +35 more
- Enterprise+Contact sales
- Unified index
- Sitecore connector + all cloud connectors
- Multi-site architecture
- Sitecore Hive UI integration
- Rules engine
- +35 more
Elasticsearch
LeaderFrom $99/month. Free 14-day trial available.
- Standard$99/month
- Distributed Elasticsearch across AWS, Azure, GCP
- ES|QL query language and APIs
- Default monitoring and AutoOps
- Alerting with detection engine
- Malware prevention
- +6 more
- Gold$114/month
- All Standard features
- Reporting
- Third-party alerting actions
- Watcher
- Multi-stack monitoring
- +3 more
- Platinum$131/month with SLA
- All Gold features
- Machine learning (anomaly detection, supervised learning)
- Vector search with ELSER and e5 models
- Cross-cluster replication
- Log categorization
- +5 more
- Enterprise$184/month
- All Platinum features
- Searchable snapshots in cold/frozen tiers
- Elastic Maps Server
- Cross-cluster search with ES|QL
- ES|QL Data Federation (query S3 directly)
- +13 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- ServiceNow
- Slack
- Jira
- Claude
Coveo
- Sitecore
- Salesforce
- SAP Commerce
- SharePoint Online
- Google Tag Manager
- Snowflake
- Confluence
- Custom ML models
- Sitemap
- Web connectors
- Qubit
- SAP Commerce Cloud
- Adobe Experience Manager
- Adobe Experience Cloud Exchange
- Google Docs
- On-premises connectors
- Generic cloud connectors
- ChatGPT
- Copilot
Elasticsearch
Leader- PagerDuty
- Microsoft Teams
- IBM Resilient
- xMatters
- GitHub
- Jina AI
- NVIDIA AI
- Prometheus
- Grafana
- AWS Bedrock
- Sarvam AI
- Google ADK
- LlamaParse
- Mistral
- Elastic Agent
- Beats
- Logstash
- Filebeat
- Metricbeat
- Heartbeat
- Webhooks
- S3
- OpenAI
- Amazon Bedrock
- +15 more
Coveo or Elasticsearch: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.