Databases · head to head
Memcached vs Qdrant

Qdrant
Databases
High-performance vector database for similarity search and embedding-based retrieval
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Memcached no persistence at all: restart a node and its cache is gone, which every design must assume; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Memcached and Qdrant actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
Only in Qdrant
Nothing recorded that Memcached does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Memcached
- Caching expensive database query results to cut loadnot Qdrant
- Session storage where losing sessions on restart is acceptablenot Qdrant
- Fronting an API whose responses are costly and change slowlynot Qdrant
Qdrant
- Retrieval-augmented generation (RAG) backends for LLM applicationsnot Memcached
- Semantic search across large document corporanot Memcached
- Multimodal retrieval (text, images, video) for recommendation systemsnot Memcached
- Similarity-based product or content recommendationsnot Memcached
- Real-time vector indexing for streaming embedding datanot Memcached
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Memcached
- No persistence at all: restart a node and its cache is gone, which every design must assume
- No replication or failover, so losing a node loses that share of the cache
- Only simple key-value, with none of the lists, sorted sets or streams Redis offers
- Values are capped at 1MB by default, which surprises teams caching large documents
Qdrant
- Free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments
- Standard and Premium pricing usage-based; specific costs not published; requires calculator or quote
- Requires understanding of embeddings and vector search concepts; not suitable for SQL-only teams
- Early-stage serverless offering (coming soon) suggests maturity gaps in that deployment model
Pricing, plan by plan
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Qdrant
Free- FreeFree
- Single-node cluster
- 0.5 vCPU
- 1GB RAM
- Standard$undefined/usage-based
- Dedicated resources
- Flexible scaling
- High availability
- Premium$undefined/minimum spend
- SSO and SAML
- Private VPC links
- 99.9% uptime SLA
Which should you pick?
Choose Memcached if
- You need in-memory key-value cache.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Self-hosted.
- You also want multithreaded.
Choose Qdrant if
- You want to start without paying.
- You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Questions people ask
- Is Memcached or Qdrant better?
- Neither clearly leads. Memcached starts at Free and Qdrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Memcached or Qdrant?
- Memcached starts at Free and Qdrant at Free.
- Does Memcached or Qdrant run on more platforms?
- Memcached runs on Linux, macOS, Windows, Docker, Self-hosted. Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
- Can I use Memcached for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Memcached best used for?
- Memcached is most often used for caching expensive database query results to cut load, session storage where losing sessions on restart is acceptable, fronting an api whose responses are costly and change slowly. Of those, caching expensive database query results to cut load and session storage where losing sessions on restart is acceptable are not what Qdrant is typically brought in for.
- What can Memcached do that Qdrant cannot?
- Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.
Answered from the vendors’ own pages
Memcached: Is Memcached free?
Yes, open source with no licence fee.
Qdrant: Can I use Qdrant for free?
Yes, Qdrant offers a free tier that provides a single node cluster with 0.5 vCPU, 1GB RAM, and 4GB disk space. It includes free cloud inference with selected models and is described as free forever for testing and prototypes.
SourceMemcached: Memcached or Redis?
Memcached is a pure cache: simpler, multithreaded and very predictable. Redis adds persistence, replication and rich data structures, which is why it is the default choice unless you specifically want a cache and nothing more.
Qdrant: How is Qdrant Cloud billing calculated?
Billing is calculated based on actual resource usage during each billing period. You are charged hourly for compute (vCPU), memory (GB), storage (GB), backups, and any paid inference tokens used.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Qdrant: What happens if I scale beyond the free tier?
The Standard Tier uses the same usage-based billing model as the free tier but adds features like dedicated resources with flexible scaling, highly available setups with backup and disaster recovery, and a 99.5% uptime SLA.
SourceQdrant: What SLA does Qdrant offer?
The Standard Tier provides 99.5% uptime SLA. The Premium Tier, which requires a minimum spend for enterprises, offers 99.9% uptime SLA along with single sign-on and private VPC links.
SourceQdrant: Are there dedicated cloud infrastructure options?
Yes, Qdrant offers Hybrid Cloud (runs on your infrastructure) and Private Cloud (complete isolation) options, both with custom pricing that requires contacting the sales team.
SourceRelated pages
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- Qdrant vs Airtable
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- Qdrant vs YugabyteDB
- Qdrant vs QuestDB
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