Pinecone SolutionsPinecone vs OpenSearch
Pinecone vs OpenSearch
Why Purpose-Built Wins
Stop wrestling with complex infrastructure. Pinecone delivers 25-50x better cost efficiency and 4x faster queries than OpenSearch.
Opensearch Webinar
View the replay of our recent webinar: Evolving Vectors on OpenSearch and Pinecone
The Problem with OpenSearch
Pinecone is built for AI. Faster, cheaper, and zero tuning required.
Native vector database
- No infra to manage
- Auto-scaling with usage
- High recall at any scale
- Search optimized for AI
- Price aligned with usage
vs. Keyword search
- Complex infrastucture
- Manual tuning and sizing
- Slows down at scale
- Not build for embeddings
- Costs rise unpredictably
Why Teams Choose Pinecone
Fast Performance
- 4x faster queries (180ms vs 540ms)
- 22x faster data ingestion
- 9% more accurate results
Dramatically Lower Costs
- 25x cheaper than OpenSearch Serverless
- 50x cheaper than OpenSearch Cluster
- Pay only for what you use—no capacity planning
Effortless Scaling
- Handles billions of vectors seamlessly
- Fully serverless across AWS, Azure, and GCP
- Zero infrastructure management
Benchmarks
For more details about the differences between OpenSearch and Pinecone, see our comprehensive OpenSearch vs Pinecone comparison page.
| Metric | Pinecone | OpenSearch |
|---|---|---|
| Query Speed | 180ms | 540ms |
| Data Insertion | 42 minutes | 15+ hours |
| Cost Efficiency | 25-50x better | Baseline |
| Capacity Planning | None required | Extensive |
Ready to Switch?
Free Migration Support
Our engineers will help you migrate from OpenSearch to Pinecone at no cost
