Databases · head to head
QuestDB vs Thanos

QuestDB
Databases
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -

Thanos
Cloud
Highly available Prometheus with long-term object storage
- From
- Free
- Rated
- -
The short version
- Each has a real cost: QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features; Thanos several components — sidecar, store, querier, compactor, ruler — each with its own configuration and failure modes
- They diverge on capability: QuestDB covers High Throughput Ingestion, Thanos covers Global query.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which QuestDB and Thanos actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
Only in Thanos
- Global query
- Object storage retention
- Deduplication
- Downsampling
What people use each for
The jobs each tool is most often brought in to do.
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Thanos
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Thanos
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not Thanos
Thanos
- Querying metrics across many clusters or regions from one placenot QuestDB
- Retaining metrics for years without local disk growthnot QuestDB
- Removing the gap that appears when a single Prometheus instance restartsnot QuestDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
QuestDB
- Open-source edition lacks high-availability, distributed architecture, and enterprise security features
- Enterprise edition pricing not published; requires contacting sales for custom quote
- Ingestion limit of 20M rows/sec platform-dependent; may not scale to extreme throughput requirements
Thanos
- Several components — sidecar, store, querier, compactor, ruler — each with its own configuration and failure modes
- The compactor is a common source of operational trouble and must not run twice against the same bucket
- Query latency over object storage is meaningfully higher than local Prometheus
- Object storage costs and API request charges become real at high volume
Pricing, plan by plan
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
Thanos
Free- ThanosFree
- Full functionality
- No usage limits
- Community support
Which should you pick?
Choose QuestDB if
- You need high throughput ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- You also want sql support.
Choose Thanos if
- You need global query.
- You want to start without paying.
- You work on Kubernetes, Linux, Docker.
- You also want object storage retention.
Questions people ask
- Is QuestDB or Thanos better?
- Neither clearly leads. QuestDB starts at Free and Thanos at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, QuestDB or Thanos?
- QuestDB starts at Free and Thanos at Free.
- Does QuestDB or Thanos run on more platforms?
- QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP). Thanos runs on Kubernetes, Linux, Docker.
- Can I use QuestDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is QuestDB best used for?
- QuestDB is most often used for time-series analytics ingesting up to 20m rows/second from iot sensors or financial data feeds, real-time dashboarding with 32ms time-to-first-row latency for minute-level analytics, applications requiring multi-tier storage (hot ingest, real-time sql, cold parquet archive). Of those, time-series analytics ingesting up to 20m rows/second from iot sensors or financial data feeds and real-time dashboarding with 32ms time-to-first-row latency for minute-level analytics are not what Thanos is typically brought in for.
- What can QuestDB do that Thanos cannot?
- QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization. Thanos covers Global query, Object storage retention, Deduplication, Downsampling.
Answered from the vendors’ own pages
QuestDB: How much does QuestDB Enterprise cost?
QuestDB does not publish specific pricing for the Enterprise tier. Customers must contact QuestDB via their enterprise contact form to receive a custom quote.
SourceThanos: Is Thanos free?
Yes, open source and CNCF-incubating. Costs are the object storage it uses.
QuestDB: Does QuestDB offer a free version?
Yes, QuestDB Open Source is completely free and recommended for evaluation, prototyping, and pilot projects. Enterprise features, high availability, security, and dedicated support require the paid Enterprise tier.
SourceThanos: Does Thanos replace Prometheus?
No. It runs alongside existing Prometheus servers, adding global query, deduplication and long-term storage.
QuestDB: What deployment options does QuestDB offer?
QuestDB offers open source deployment, Enterprise deployment, and Bring Your Own Cloud (BYOC) deployment. Pricing details for BYOC and Enterprise tiers are not published and require direct contact with sales.
SourceThanos: Thanos or VictoriaMetrics?
Thanos layers onto Prometheus using object storage and is the more established multi-cluster answer. VictoriaMetrics is a separate store aiming at lower resource use and fewer moving parts.
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