Elasticsearch vs SGLang
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. SGLang is completely free, while Elasticsearch is free trial.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Vector embedding storage and search
- Elastic Agent Builder
- Kibana dashboards
- Jina AI search models
- Serverless, hosted or self-managed
- Observability and security use cases
- RadixAttention caching
- Structured output
- MoE parallelism
- Speculative decoding
- OpenAI-compatible API
| Feature | Elasticsearch | SGLang |
|---|---|---|
| Best for | Search engine and vector database for AI apps and agents | Fast open-source serving framework for LLMs and vision models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free trial | Free |
| Starting price | See pricing page | Free |
| Free plan | No, trial available | Yes, fully free |
| Made by | Elastic | LMSYS |
| Based in | Netherlands | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
SGLang is completely free, while Elasticsearch is free trial.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Elasticsearch
- Handles keyword and vector search together
- Three deployment options
- Mature ecosystem and tooling
- Pricing details are not clear on the page
- Cluster tuning takes expertise
- Broad product line can be confusing
SGLang
- Very fast on large MoE models
- Strong prefix caching
- Active development
- Needs server-class GPUs
- Docs assume expertise
- Fewer beginner guides than vLLM
Which one should you choose?
Choose Elasticsearch if you want:
- Handles keyword and vector search together
- Three deployment options
- Mature ecosystem and tooling
Watch out: pricing details are not clear on the page.
Choose SGLang if you want:
- Very fast on large MoE models
- Strong prefix caching
- Active development
Watch out: needs server-class gpus.
Elasticsearch vs SGLang FAQ
What is the difference between Elasticsearch and SGLang?
Elasticsearch: Search engine and vector database for AI apps and agents. SGLang: Fast open-source serving framework for LLMs and vision models. Both are models & apis tools.
Is Elasticsearch or SGLang cheaper?
SGLang is completely free, while Elasticsearch is free trial.
Do Elasticsearch and SGLang have free plans?
Elasticsearch: No, trial available. SGLang: Yes, fully free.
Who makes Elasticsearch?
Elasticsearch is made by Elastic, based in Netherlands.
Who makes SGLang?
SGLang is made by LMSYS, based in United States.
Which should I choose, Elasticsearch or SGLang?
Choose Elasticsearch if you value handles keyword and vector search together and three deployment options. Choose SGLang if you value very fast on large moe models and strong prefix caching.