OpenSearch vs Pinecone

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Pinecone is the stronger AI pick in Vector Databases: it has a visibility score of 71.8 versus 3.9 for OpenSearch, and ranks ahead in 86% of the answers that name both.

Choose OpenSearch if…

Strong general database popularity
Hybrid keyword-plus-semantic search with dense vectors
Suited to broader search, logging, analytics, and observability

Choose Pinecone if…

You want the brand AI engines rank higher (71.8 vs 3.9)
AI answers describe it more positively (57% vs 0% positive)
You need SOC 2 Type II or HIPAA or GDPR or ISO 27001 coverage
Zero-ops, fully managed cloud service

AI visibility side by side

Latest weekly run · Nov 2

Metric	OpenSearch	Pinecone
Visibility score	3.9%	71.8%
Change vs last week	New	New
Rank in Vector Databases	#16	#1
Share of voice	1.7%	14%
Mentions this run	8	66
Positive in AI answers	0%	57%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

OpenSearch 0pp · Pinecone 0pp over 0 weekly runs.

Engine by engine

Pinecone leads on 3 of 3 engines

ChatGPT

3.9%

77%

AI Mode

77.4%

Perplexity

4.8%

61.1%

OpenSearchPinecone

Head to head in AI answers

7 engine answers name both brands

1OpenSearch ranked higher

6Pinecone ranked higher

Prompt	Engine	OpenSearch	Pinecone
How do I choose a vector database for a mid-market team?	ChatGPT	#8	#2
How do companies store and search embeddings without a dedicated tool?	ChatGPT	#4	#8
How do companies store and search embeddings without a dedicated tool?	AI Mode	#5	#1
Top vector database options for B2B SaaS companies	Perplexity	#7	#2
Compare the leading Vector Databases platforms	Perplexity	#7	#1
Which Vector Databases vendors do analysts recommend?	ChatGPT	#8	#1
Who makes the most used vector database?	AI Mode	#6	#1

Features, pricing & fit

Dimension	OpenSearch	Pinecone
Pricing model	—	Usage-based
Entry price	—	Free; paid from $20 / mo
Free plan	—	Yes
Deployment	Self-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters.	Fully managed cloud service, with an optional bring-your-own-cloud (BYOC) deployment
Compliance	—	SOC 2 Type II, HIPAA, GDPR, ISO 27001
Support	Community forum, Slack, GitHub, Long-term support from certified providers	Community support via Discord on Starter, Free support with response SLAs available via Developer or Pro add-on, Pro support included on Enterprise and BYOC, Dedicated customer success and support SLAs on Enterprise
Founded	2021	2019
Headquarters	San Francisco, CA, United States	New York, NY
Employees	51–200	51–200
Funding	—	Series B · $138M raised
Best for	Organizations that want search, vector retrieval, and observability on open source software without vendor lock-in.	Production AI applications, from solo developers and small teams to mission-critical enterprise deployments