OpenSearch vs Redis (2026): Pricing, Features & Verdict
OpenSearch and Redis both score 7.1/10 on our AI Software criteria, and our pick is Redis. Its biggest advantage: higher Ease of Use score (6/10 vs 4/10). For 10 users, OpenSearch and Redis are both free; both OpenSearch and Redis have a free plan.
Last updated: November 2026
OpenSearch
7.1/10
OpenSearch is an open-source, Apache 2.0 search and analytics suite with vector search, ML connectors and AI agent APIs, used to build semantic search, RAG and observability applications.
Redis
7.1/10
In-memory data platform with vector search, semantic caching and agent memory, plus the Redis Iris context engine, for developers building real-time AI applications.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 7.1/10 | 7.1/10 |
| Integration | 7/10 | 8/10 |
| Analytics | 7/10 | 5/10 |
| Customization | 9/10 | 8/10 |
| Ease of Use | 4/10 | 6/10 |
| Support | 5/10 | 6/10 |
| Cost | 9/10 | 6/10 |
| Scalability | 8/10 | 9/10 |
| Security | 7/10 | 9/10 |
| Output Quality | 7/10 | 7/10 |
| Pricing | ||
| Free plan | Yes | Yes |
| Cheapest paid plan | Contact for pricing | $5/mo Essentials |
| Estimated cost for 10 users | Free Open source (self-managed) | Free Free |
| Features | ||
| AI Agents | ||
| API Access | ||
| Enterprise Controls | ||
| Knowledge Base Search | ||
| Private Deployment | ||
| Data Analysis | Not listed | |
OpenSearch vs Redis cost by team size
OpenSearch and Redis cost the same at every team size we checked.
| Team size | OpenSearch | Redis |
|---|---|---|
| 1 user | FreeOpen source (self-managed) | FreeFree |
| 5 users | FreeOpen source (self-managed) | FreeFree |
| 10 users | FreeOpen source (self-managed) | FreeFree |
| 25 users | FreeOpen source (self-managed) | FreeFree |
| 50 users | FreeOpen source (self-managed) | FreeFree |
The plan that fits each team size, billed monthly, before add-ons and usage charges. Each cost opens that tool's pricing calculator for the team size.
Who OpenSearch and Redis suit
| Audience | OpenSearch | Redis |
|---|---|---|
| Developers | 9/10It is an open-source engine with REST APIs and ML Commons connectors, aimed at engineers building search and RAG applications. | 9/10Redis is developer infrastructure with client libraries like RedisVL and integrations with LangChain and LlamaIndex. |
| Enterprise | 8/10Foundation governance, RBAC, audit logging, SAML and OIDC, and self-hosting all suit large organisations with platform teams. | 8/10Pro adds active-active multi-region deployment, on-prem software and broad compliance certifications. |
| IT Teams | 8/10It is widely used for log analytics and observability, covering traces, metrics and logs. | Not rated |
| SaaS Companies | Not rated | 8/10Its sub-millisecond caching and vector search suit production SaaS AI features. |
| Small Business | 3/10Running and tuning clusters takes engineering skill that most small businesses do not have. | Not rated |
| Startups | Not rated | 7/10The free 30 MB tier and Essentials from about $5 a month make it cheap to start. |
Which One Should You Choose?
Why choose OpenSearch
- Higher Cost score (9/10 vs 6/10)
- Higher Analytics score (7/10 vs 5/10)
Why choose Redis
- Higher Ease of Use score (6/10 vs 4/10)
- Higher Security score (9/10 vs 7/10)
Pros & Cons
OpenSearch
Pros
- The Apache 2.0 licence and Linux Foundation governance remove vendor licence fees and lock-in.
- Security features such as RBAC, audit logging, SAML and OIDC are free, whereas Elastic puts some of these behind paid licences.
- AI features are moving quickly: agentic search went GA in 3.3, and agent memory, MCP support and LLM-as-judge relevance testing came in later 3.x releases.
- It runs on Kubernetes, Docker, bare metal or the managed Amazon OpenSearch Service, using the same codebase.
Cons
- Large or multi-tenant clusters often need manual tuning of caches, merges and thread pools.
- Dashboards is a Kibana 7.10 fork and is described as less polished than current Kibana.
- Plugin features such as k-NN and anomaly detection can vary in stability between versions.
- Some benchmarks and Elasticsearch users report performance and feature gaps against current Elasticsearch.
Redis
Pros
- Sub-millisecond vector and semantic lookups, which suit real-time AI features.
- Teams already running Redis can add vector search and caching without learning a new database.
- Wide compliance coverage, including SOC 2, HIPAA, PCI DSS, ISO 27001 and ISO 42001.
- Runs as a managed service on AWS, Azure or GCP, as on-prem Redis Software, or as open source.
- A free 30 MB tier and Essentials from about $5 a month make it cheap to try.
Cons
- Data size is limited by RAM, so costs rise quickly as memory grows.
- Reviewers describe the pricing as complex, and Pro has a $200 monthly minimum.
- Scaling beyond a single node needs careful architectural planning.
- Some reviewers say the documentation is hard for newcomers to follow.
- It is infrastructure, not a finished AI app, so you need engineering effort to get value from it.
Not sold on either?
Frequently Asked Questions
Both score 7.1/10 on our AI Software criteria, and our pick is Redis. The largest gap is in Cost: 9/10 for OpenSearch and 6/10 for Redis.
Both are free for 10 users.
Yes, both OpenSearch and Redis have a free plan.
