Spreadsheets · head to head
Looker vs QuestDB

Looker
Spreadsheets
Modern business intelligence platform by Google
- From
- On request
- Rated
- -

QuestDB
Databases
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -
The short version
- Only QuestDB has a free tier, so it costs nothing to try first.
- Each has a real cost: Looker no pricing published on website; quote-based model requires contacting Google Cloud sales; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Looker covers LookML Data Modeling, QuestDB covers High Throughput Ingestion.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Looker and QuestDB actually diverge.
Identical on both: 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 Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Version Control
- Data Actions
- BigQuery
- Snowflake
- Redshift
Only in QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- Grafana
Both cover
- PostgreSQL
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot QuestDB
- Embedded analytics for integrating BI capabilities into third-party applicationsnot QuestDB
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Looker
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Looker
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not Looker
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Looker
- No pricing published on website; quote-based model requires contacting Google Cloud sales
- Pricing typically based on user count, deployment type, and feature requirements with no transparency
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
Pricing, plan by plan
Looker
On requestNo published plan breakdown. See the Looker review.
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
Which should you pick?
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
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.
Questions people ask
- Is Looker or QuestDB better?
- Neither clearly leads. Looker starts at On request and QuestDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Looker or QuestDB?
- QuestDB has a free tier; the other does not. Paid plans start at On request for Looker and Free for QuestDB.
- Does Looker or QuestDB run on more platforms?
- Looker runs on Web, Cloud (Google Cloud Platform). QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- Can I use QuestDB for free?
- Yes. QuestDB has a free tier, so you can try it without paying. Looker starts at On request.
- What is Looker best used for?
- Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what QuestDB is typically brought in for.
- What can Looker do that QuestDB cannot?
- Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization. Both handle PostgreSQL, Web support.
Answered from the vendors’ own pages
Looker: How much does Looker cost?
Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.
SourceQuestDB: 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.
SourceLooker: What are Looker's pricing tiers?
Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.
SourceQuestDB: 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.
SourceQuestDB: 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.
SourceRelated pages
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- QuestDB vs ClickHouse
- QuestDB vs NATS
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