Elasticsearch vs Vespa
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.
Elasticsearch
LeaderA search platform that distributes data across multiple nodes to handle large-scale indexing and retrieval through standard web APIs.
Vespa
A distributed search and AI platform that handles vectors, tensors, text, and structured data at scale, delivering sub-100ms query latency with continuous data updates and machine-learned relevance ranking.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
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.
- Cohere
Elasticsearch
Leader- Slack
- Jira
- ServiceNow
- 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
- +18 more
Vespa
- Python
- TwelveLabs
- Claude Code
- OpenAI Codex
- Google Gemini
- Cursor
- VSCode
- IntelliJ
- PyCharm
- AWS
- GCP
Elasticsearch or Vespa: 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.