ElasticsearchThe search database for AI

RedisReal-time data for agents & apps

Comparison · Vector Databases · weekly run Nov 2

Elasticsearch vs Redis

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

The short answer

Elasticsearch is the stronger AI pick in Vector Databases: it has a visibility score of 14.3 versus 7.7 for Redis, and ranks ahead in 57% of the answers that name both.

Choose Elasticsearch if…

You want the brand AI engines rank higher (14.3 vs 7.7)
You need SOC 2 Type II or ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or FedRAMP Moderate or FedRAMP High coverage
Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
Widely deployed, often cited as the most widely deployed vector-capable search engine

Choose Redis if…

AI answers describe it more positively (33% vs 30% positive)
You need a self-hosted or on-premises option
You need SOC 2 or ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or ISO 42001 or ISO 22301 or ISO 9001 or GDPR or CCPA or VPAT or FIPS 140-3 coverage
low-latency vector search alongside caching

AI visibility side by side

Latest weekly run · Nov 2

Metric	Elasticsearch	Redis
Visibility score	14.3%	7.7%
Change vs last week	New	New
Rank in Vector Databases	#7	#10
Share of voice	5.1%	3%
Mentions this run	24	14
Positive in AI answers	30%	33%

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

Visibility score trend

Weekly runs over the last 60 days

Elasticsearch 0pp · Redis 0pp over 0 weekly runs.

Engine by engine

Elasticsearch leads on 3 of 3 engines

ChatGPT

11.5%

6.1%

AI Mode

12.2%

3.5%

Perplexity

19.1%

13.5%

ElasticsearchRedis

Head to head in AI answers

7 engine answers name both brands

4Elasticsearch ranked higher

3Redis ranked higher

Prompt	Engine	Elasticsearch	Redis
How do companies store and search embeddings without a dedicated tool?	ChatGPT	#3	#6
How do companies store and search embeddings without a dedicated tool?	AI Mode	#4	#6
What are the best Vector Databases tools in 2026?	ChatGPT	#8	#9
What are the best Vector Databases tools in 2026?	AI Mode	#7	#9
Alternatives to the most popular vector database	Perplexity	#7	#6
Official website of the top vector database vendors	ChatGPT	#8	#7
Official website of the top vector database vendors	Perplexity	#9	#7

Features, pricing & fit

Dimension	Elasticsearch	Redis
Pricing model	—	Usage-based
Entry price	—	Free; paid from $0.007 / mo
Free plan	—	Yes
Deployment	Elastic Cloud Serverless, Elastic Cloud Hosted, or self-managed on premises, in private, hybrid or air-gapped environments.	Managed cloud service (Redis Cloud) on AWS, Azure and Google Cloud, plus on-premises and hybrid deployment with Redis Software.
Compliance	SOC 2 Type II, ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, FedRAMP Moderate, FedRAMP High, PCI DSS, HIPAA, CSA STAR	SOC 2, ISO 27001, ISO 27017, ISO 27018, ISO 27701, ISO 42001, ISO 22301, ISO 9001, PCI DSS, HIPAA, GDPR, CCPA, CSA STAR, VPAT, FIPS 140-3
Support	Four support tiers depending on Elastic Cloud subscription tier, 99.95% monthly uptime SLA for Platinum and Enterprise tiers	Community support on the free plan, Basic support on Essentials plans, Redis support team on paid plans, Knowledge base
Founded	2012	2011
Headquarters	San Francisco, California	San Francisco, CA
Employees	1,001–5,000	1,001–5,000
Funding	IPO (NYSE)	Series D
Best for	Teams building AI search, RAG and vector applications, and organizations that want search, observability and security on one data platform.	Developers and digital businesses building fast apps and real-time AI agents that need low-latency data access.

Plans side by side

Elasticsearch

Pricing not available.

Redis

Free$0month

Essentials$0.007hour (from; total $5/month)

Pro$0.014hour (from; minimum $200/month)

Redis pricing

Pros and cons

Themes from the AI answers that mention each brand

Elasticsearch

Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
Widely deployed, often cited as the most widely deployed vector-capable search engine
Hybrid keyword-plus-semantic search via dense vectors and inverted indexes
Suited to consolidated stacks and broader search, logging, analytics, or observability platforms
Existing infrastructure can be leveraged