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Databases · head to head

Qdrant vs SingleStore

Qdrant logo

Qdrant

Databases

High-performance vector database for similarity search and embedding-based retrieval

From
Free
Rated
-
SingleStore logo

SingleStore

Databases

The real-time distributed SQL database for data-intensive applications

From
Free
Rated
-

The short version

  • Each has a real cost: Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments; SingleStore high licensing costs that increase with data scale and cluster size
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Qdrant and SingleStore actually diverge.

Attributes where Qdrant and SingleStore differ
AttributeQdrantSingleStore
Pricing modelfreemiumUnknown
PlatformsCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)Cloud (SingleStoreDB Cloud), Self-Managed
FoundedUnknown2011

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 Qdrant

Nothing recorded that SingleStore does not also cover.

Only in SingleStore

  • Real-time Analytics
  • Fast Data Ingest
  • In-memory Processing
  • Distributed Architecture
  • MySQL Compatible
  • Columnar Storage
  • Vector Search
  • Kafka

What people use each for

The jobs each tool is most often brought in to do.

Qdrant

  • Retrieval-augmented generation (RAG) backends for LLM applicationsnot SingleStore
  • Semantic search across large document corporanot SingleStore
  • Multimodal retrieval (text, images, video) for recommendation systemsnot SingleStore
  • Similarity-based product or content recommendationsnot SingleStore
  • Real-time vector indexing for streaming embedding datanot SingleStore

SingleStore

  • Transaction processingnot Qdrant
  • Data storagenot Qdrant
  • Application backendnot Qdrant
  • Reportingnot Qdrant
  • Data analyticsnot Qdrant

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

SingleStore

  • High licensing costs that increase with data scale and cluster size
  • Eventual consistency in replication: secondary replicas may lag during high write loads
  • Complex operational setup requiring specialized knowledge for optimization
  • Vendor lock-in due to proprietary technology without open-source alternatives
  • Disorganized documentation and lack of online training resources

Pricing, plan by plan

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

SingleStore

Free
  • Free Tier$0.99/month
    • Usage-based pricing
    • Limited resources

Which should you pick?

Choose Qdrant if

  • You want to start without paying.
  • You work on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).

Choose SingleStore if

  • You need real-time analytics.
  • You want to start without paying.
  • You work on Cloud (SingleStoreDB Cloud), Self-Managed.
  • You also want fast data ingest.

Questions people ask

Is Qdrant or SingleStore better?
Neither clearly leads. Qdrant starts at Free and SingleStore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Qdrant or SingleStore?
Qdrant starts at Free and SingleStore at Free.
Does Qdrant or SingleStore run on more platforms?
Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming). SingleStore runs on Cloud (SingleStoreDB Cloud), Self-Managed.
Can I use Qdrant for free?
Both have a free tier, so you can try either at no cost before committing.
What is Qdrant best used for?
Qdrant is most often used for retrieval-augmented generation (rag) backends for llm applications, semantic search across large document corpora, multimodal retrieval (text, images, video) for recommendation systems, similarity-based product or content recommendations. Of those, retrieval-augmented generation (rag) backends for llm applications and semantic search across large document corpora are not what SingleStore is typically brought in for.
What can Qdrant do that SingleStore cannot?
SingleStore covers Real-time Analytics, Fast Data Ingest, In-memory Processing, Distributed Architecture.

Answered from the vendors’ own pages

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.

Source
SingleStore: Does SingleStore offer a free tier?

Yes, SingleStore offers a free tier starting from $0.99/month with usage-based pricing. The free tier allows developers to evaluate the platform with limited resources before scaling to production workloads.

Source
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.

Source
SingleStore: Can SingleStore handle both transactional and analytical workloads?

Yes, SingleStore is a hybrid transactional/analytical processing (HTAP) database that combines operational (OLTP) and analytical (OLAP) workloads in a single unified engine, eliminating the need for separate systems.

Source
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.

Source
SingleStore: Does SingleStore integrate with Apache Spark?

Yes, SingleStore provides the Spark Connector 3.0 for bidirectional data integration with Apache Spark. The connector supports SQL, Python, Scala, Java, and R for data loading and extraction.

Source
Qdrant: 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.

Source
SingleStore: Can SingleStore ingest data from Kafka?

Yes, SingleStore supports high-throughput streaming ingestion from Apache Kafka and other sources, enabling millions of events per second without requiring ETL pipelines or data movement.

Source
Qdrant: 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.

Source
SingleStore: Is SingleStore available as cloud or self-managed?

SingleStore offers both deployment options: SingleStoreDB Cloud (managed service) and SingleStore Self-Managed for on-premises or private cloud deployments. The managed service handles infrastructure, scaling, and maintenance automatically.

Source
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