Back to Compare

Qdrant vs QuestDB

A side-by-side comparison of pricing, ratings, features, pros and cons.

Qdrant
QdrantQdrantFreemium
QuestDB
QuestDBQuestDBOpen Source
DescriptionQdrant is open source vector similarity search engine with extended filtering support, written in Rust.Open-source time-series database built for high-speed ingestion and real-time SQL analytics.
Category
DeveloperQdrantQuestDB
Verified StatusNoNo
Last UpdatedSep 2026Sep 2026
Pricing ModelFreemiumOpen Source
Free PlanNoYes
Free TrialNoNo
Open SourceNoYes
API AccessNoNo
Features
Native hybrid search (dense + sparse vectors)
Advanced metadata filtering (nested, text, geo)
Quantization reducing memory usage up to 64x
Real-time indexing
Open source (30k+ GitHub stars), self-hostable
Managed Qdrant Cloud with a free tier
Ingests up to 20 million rows per second
SQL interface with time-series extensions (SAMPLE BY, ASOF JOIN)
Multi-tier storage from hot WAL to cold Parquet object storage
Native Parquet/Iceberg support with REST API for AI agents
Apache 2.0 licensed open-source core
Enterprise tier with HA, RBAC/TLS/SSO, and SLA support
Tags
qdrantvectoropen-sourcesimilarity-search
time-series-databaseopen-source-databasereal-time-analyticssql-databasedata-ingestion
Review Count00
Saves00
Views5444
Quality Score62/10057/100
Website StatusOnlineOnline
Websiteqdrant.techquestdb.com
Social Links3 linked3 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose Qdrant if:

  • Free to use

Choose QuestDB if:

  • Free to use

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

You can compare up to 4 tools — use "Add Tool" in the table above.

Disclosure: AlverHub may earn a commission if you sign up for a tool through a link on this page, at no additional cost to you. This never affects which tools we list or how we describe them — our recommendations are based on real, documented data and our published scoring methodology.