Elastic Cloud vs Qdrant
A comparison of Elastic Cloud and Qdrant built from values read directly from each provider's own documentation, with the source recorded against every figure.
The short answer
- Pick Elastic Cloud if
- Teams that need full-text search and observability on the same underlying engine, or that want the option to self-host later — Elastic's dual identity as a search platform and an observability platform is the actual differentiator against single-purpose competitors.
- Pick Qdrant if
- Teams that want a choice of similarity metric rather than one fixed default, or that want the option to self-host the same open-source engine the managed cloud runs.
4 sourced criteria separate them:
- Free tier
- Elastic Cloud: No
- Qdrant: Yes
- Pricing model
- Elastic Cloud: Hosted: resource-based pricing, pay-as-you-go monthly or prepaid. Serverless: usage-based pricing, pay-as-you-go monthly or prepaid.
- Qdrant: Usage-based on the Standard tier: billed for compute (vCPU), memory (GB) and storage (GB) consumed by clusters, backup storage, and inference tokens for paid models.
- Regions
- Elastic Cloud: Hosted: 60 regions across AWS, Azure and Google Cloud (also Alibaba Cloud and FedRAMP). Serverless: generally available on AWS, Google Cloud and Azure.
- Qdrant: Standard and Premium tiers run on AWS, Azure and GCP.
- Metadata filtering
- Elastic Cloud: Supported — vector search results can be filtered by metadata while preserving approximate nearest neighbor (ANN) search speed.
- Qdrant: Supported — collections store points (vectors with a payload) and support dedicated filtering on payload fields.
Pick the criteria you care about. The chart counts how many of them lean toward each provider — the same read as scanning the bars below, just totalled for the ones you chose.
Elastic Cloud 0
Qdrant 0
At a glance.
| Criterion | Elastic Cloud | Qdrant |
|---|---|---|
| Pricing | ||
| Free tier | No | Yes |
| Pricing model | Hosted: resource-based pricing, pay-as-you-go monthly or prepaid. Serverless: usage-based pricing, pay-as-you-go monthly or prepaid. | Usage-based on the Standard tier: billed for compute (vCPU), memory (GB) and storage (GB) consumed by clusters, backup storage, and inference tokens for paid models. |
| Infrastructure | ||
| Regions | Hosted: 60 regions across AWS, Azure and Google Cloud (also Alibaba Cloud and FedRAMP). Serverless: generally available on AWS, Google Cloud and Azure. | Standard and Premium tiers run on AWS, Azure and GCP. |
| Vector | ||
| Metadata filtering | Supported — vector search results can be filtered by metadata while preserving approximate nearest neighbor (ANN) search speed. | Supported — collections store points (vectors with a payload) and support dedicated filtering on payload fields. |
Where they differ.
Free tier
- Elastic Cloud
- No
- Qdrant
- Yes
Sources (2) →Sources ↓
- Elastic Cloud Pricing ↗
“Only a free trial is offered on this page; no ongoing free tier is listed alongside the Hosted and Serverless plans.”
Read 2026-09-11 · official pricing
- Qdrant Cloud Pricing ↗
“Free forever. Single Node Cluster: 0.5 vCPU / 1GB RAM / 4 GB Disk. For testing, and prototypes.”
Read 2026-09-11 · official pricing
Pricing model
- Elastic Cloud
- Hosted: resource-based pricing, pay-as-you-go monthly or prepaid. Serverless: usage-based pricing, pay-as-you-go monthly or prepaid.
- Qdrant
- Usage-based on the Standard tier: billed for compute (vCPU), memory (GB) and storage (GB) consumed by clusters, backup storage, and inference tokens for paid models.
Sources (2) →Sources ↓
- Elastic Cloud Pricing ↗
“Hosted: Resource based pricing. Pay as you go (monthly) or prepaid. Serverless: Usage based pricing. Pay as you go (monthly) or prepaid.”
Read 2026-09-11 · official pricing
- Qdrant Cloud Pricing ↗
“Billing is calculated based on actual resource usage during the billing period. You're charged for compute (vCPU), memory (GB), storage (GB) consumed by your clusters, storage (GB) consumed by backups, and used inference tokens of paid models.”
Read 2026-09-11 · official pricing
Regions
- Elastic Cloud
- Hosted: 60 regions across AWS, Azure and Google Cloud (also Alibaba Cloud and FedRAMP). Serverless: generally available on AWS, Google Cloud and Azure.
- Qdrant
- Standard and Premium tiers run on AWS, Azure and GCP.
Sources (2) →Sources ↓
- Elastic Cloud Pricing ↗
“AWS, GCP, Azure, Alibaba, FedRamp — 60 regions across AWS, Azure, and GCP. Serverless currently generally available in AWS, GCP, and Azure.”
Read 2026-09-11 · official pricing
- Qdrant Cloud Pricing ↗
“AWS, Azure, GCP.”
Read 2026-09-11 · official pricing
Metadata filtering
- Elastic Cloud
- Supported — vector search results can be filtered by metadata while preserving approximate nearest neighbor (ANN) search speed.
- Qdrant
- Supported — collections store points (vectors with a payload) and support dedicated filtering on payload fields.
Sources (2) →Sources ↓
- Elastic: What is vector search? ↗
“Filter vector search results using metadata. Maintain recall without sacrificing speed by applying a filter in line with approximate nearest neighbor (ANN) search.”
Read 2026-09-11 · official site
- Qdrant documentation ↗
“Points, and vectors with a payload. [...] filtering is available as a search feature.”
Read 2026-09-11 · official docs
When these numbers change, hear about it. Sources are re-checked monthly; a repricing goes out as a short note.
Which should you choose?
Choose Elastic Cloud if…
Teams that need full-text search and observability on the same underlying engine, or that want the option to self-host later — Elastic's dual identity as a search platform and an observability platform is the actual differentiator against single-purpose competitors.
Editorial · Palash Bagchi · approved
Choose Qdrant if…
Teams that want a choice of similarity metric rather than one fixed default, or that want the option to self-host the same open-source engine the managed cloud runs.
Editorial · Palash Bagchi · approved
Consider something else if…
- Elastic Cloud: The need is narrowly error tracking or APM — a purpose-built tool is usually simpler to operate than standing up an Elasticsearch cluster for one workload, and Elastic Cloud's per-resource pricing doesn't publish a flat entry price the way single-purpose competitors do.
- Qdrant: A published, calculator-free entry price matters — Qdrant Cloud's Standard tier pricing is usage-based with no static per-month figure quoted, unlike some competitors' flat entry plans.
Documented by only one.
These criteria are published by one provider and not the other. An absence here means we have not found a source, not that the feature is missing.
Questions this comparison answers.
Free tier: Elastic Cloud or Qdrant?
Elastic Cloud: No
Qdrant: Yes
Should I choose Elastic Cloud or Qdrant?
Pick Elastic Cloud if Teams that need full-text search and observability on the same underlying engine, or that want the option to self-host later — Elastic's dual identity as a search platform and an observability platform is the actual differentiator against single-purpose competitors.
Pick Qdrant if Teams that want a choice of similarity metric rather than one fixed default, or that want the option to self-host the same open-source engine the managed cloud runs.