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Database & Data Management · head to head

Firebolt vs Qdrant

Firebolt logo

Firebolt

Database & Data Management

Sub-second analytics at cloud data warehouse scale

From
$1.84/hour
Rated
-
Full reviewWebsite
Qdrant logo

Qdrant

Database & Data Management

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Qdrant has a free tier, so it costs nothing to try first.
  • Each has a real cost: Firebolt compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop; Qdrant free tier extremely limited (0.5 vCPU, 1GB RAM, 4GB disk); suitable only for experiments

Where they differ

Only the attributes on which Firebolt and Qdrant actually diverge.

Attributes where Firebolt and Qdrant differ
AttributeFireboltQdrant
Starting price$1.84/hourFree
Pricing modelusage-basedfreemium
Free tierNoYes
PlatformsCloud (AWS, GCP, Azure preview), Docker, KubernetesCloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming)
Founded2019Unknown

Identical on both: user rating (Not yet rated), category (Database & Data Management).

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 Firebolt

  • Sub-second Queries
  • Sparse Indexes
  • Data Pruning
  • Decoupled Storage/Compute
  • SQL Support
  • Semi-structured Data
  • Workload Isolation
  • Airflow

Only in Qdrant

Nothing recorded that Firebolt does not also cover.

What people use each for

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

Firebolt

  • Data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirementsnot Qdrant
  • Real-time business intelligence platforms requiring ACID transactions and snapshot isolationnot Qdrant
  • Applications needing vector search on analytical data for similarity queriesnot Qdrant

Qdrant

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

Where each one falls short

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

Firebolt

  • Compute billed per second on Arm-based processors; small instances still incur measurable costs during idle periods despite auto-stop
  • Storage pass-through charged at $0.0264/GB monthly on compressed data; uncompressed storage could exceed this
  • Azure deployment currently in Preview status; production recommendations unclear
  • Vector indexes limited to float arrays; other data types require alternative indexing strategies
  • Free tier credits ($200) limited; no perpetual free tier for production 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

Pricing, plan by plan

Firebolt

$1.84/hour

No published plan breakdown. See the Firebolt review.

Qdrant

Free
  • FreeFree
    • Single-node cluster
    • 0.5 vCPU
    • 1GB RAM
  • Standard$null/usage-based
    • Dedicated resources
    • Flexible scaling
    • High availability
  • Premium$null/minimum spend
    • SSO and SAML
    • Private VPC links
    • 99.9% uptime SLA

Which should you pick?

Choose Firebolt if

  • You need sub-second queries.
  • You work on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes.
  • You also want sparse indexes.
Firebolt review

Choose Qdrant if

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

Questions people ask

Is Firebolt or Qdrant better?
Neither clearly leads. Firebolt starts at $1.84/hour and Qdrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Firebolt or Qdrant?
Qdrant has a free tier; the other does not. Paid plans start at $1.84/hour for Firebolt and Free for Qdrant.
Does Firebolt or Qdrant run on more platforms?
Firebolt runs on Cloud (AWS, GCP, Azure preview), Docker, Kubernetes. Qdrant runs on Cloud (AWS, GCP, Azure), Kubernetes, Self-hosted, Edge (beta), Serverless (coming).
Can I use Qdrant for free?
Yes. Qdrant has a free tier, so you can try it without paying. Firebolt starts at $1.84/hour.
What is Firebolt best used for?
Firebolt is most often used for data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements, real-time business intelligence platforms requiring acid transactions and snapshot isolation, applications needing vector search on analytical data for similarity queries. Of those, data analytics teams running gigabyte-to-petabyte datasets with sub-second query requirements and real-time business intelligence platforms requiring acid transactions and snapshot isolation are not what Qdrant is typically brought in for.
What can Firebolt do that Qdrant cannot?
Firebolt covers Sub-second Queries, Sparse Indexes, Data Pruning, Decoupled Storage/Compute.
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