Databases · head to head
Apache Pinot vs Quantum Metric

Apache Pinot
Databases
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -

Quantum Metric
Business Intelligence
Continuous product design platform
- From
- On request
- Rated
- -
The short version
- Only Apache Pinot has a free tier, so it costs nothing to try first.
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; Quantum Metric only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
- They diverge on capability: Apache Pinot covers Real-time Analytics, Quantum Metric covers Session Replay.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and Quantum Metric actually diverge.
| Attribute | Apache Pinot | Quantum Metric |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | open-source | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Docker, Kubernetes | Web, Mobile |
| Category | Databases | Business Intelligence |
| Founded | 1999 | 2015 |
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 Apache Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- SQL Support
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Kafka
Only in Quantum Metric
- Session Replay
- Opportunity Analysis
- Anomaly Detection
- Real-time Alerts
- Impact Scoring
- Adobe Analytics
- Google Analytics
- Salesforce
What people use each for
The jobs each tool is most often brought in to do.
Apache Pinot
- Sub-second analytics queries on freshly ingested datanot Quantum Metric
- User-facing dashboards inside a productnot Quantum Metric
- Real-time metrics at high ingest ratesnot Quantum Metric
- Petabyte-scale analytics as run at LinkedIn and Ubernot Quantum Metric
Quantum Metric
- Session replay and digital experience analytics for large web and mobile propertiesnot Apache Pinot
- Quantifying friction and conversion loss in checkout and signup flowsnot Apache Pinot
- Streaming behavioural insights into a data warehousenot Apache Pinot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Pinot
- Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
- Managed hosting comes from third parties such as StarTree rather than from the project
- Built for user-facing real-time OLAP, so it is not a general purpose database
Quantum Metric
- Only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
- The page states plans are built around your business, with the only routes being a personalised discussion, a live demo or product tours
- There is no self-serve tier, free plan or trial published
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Quantum Metric
On request- CustomFree
- Full Platform
- Real-time Analytics
- Enterprise Support
Which should you pick?
Choose Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want column-oriented.
Choose Quantum Metric if
- You need session replay.
- You work on Web, Mobile.
- You also want opportunity analysis.
Questions people ask
- Is Apache Pinot or Quantum Metric better?
- Neither clearly leads. Apache Pinot starts at Free and Quantum Metric at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Quantum Metric?
- Apache Pinot has a free tier; the other does not. Paid plans start at Free for Apache Pinot and On request for Quantum Metric.
- Does Apache Pinot or Quantum Metric run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Quantum Metric runs on Web, Mobile.
- Can I use Apache Pinot for free?
- Yes. Apache Pinot has a free tier, so you can try it without paying. Quantum Metric starts at On request.
- What is Apache Pinot best used for?
- Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what Quantum Metric is typically brought in for.
- What can Apache Pinot do that Quantum Metric cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Quantum Metric covers Session Replay, Opportunity Analysis, Anomaly Detection, Real-time Alerts.
Answered from the vendors’ own pages
Apache Pinot: How much does Apache Pinot cost?
Apache Pinot is free and open-source. It is provided under the Apache License, which allows free use, modification, and distribution.
SourceQuantum Metric: How much does Quantum Metric cost?
Quantum Metric uses custom pricing based on annual session volume, number of digital properties monitored, and product add-ons. Exact costs require contacting the sales team.
SourceApache Pinot: Is Apache Pinot free for commercial use?
Yes. Apache Pinot is licensed under the Apache License, which explicitly permits commercial use at no cost.
SourceQuantum Metric: Does Quantum Metric offer a free trial?
The pricing page does not mention a free trial option. Interested parties must request a demo to discuss pricing and obtain a custom quote.
SourceApache Pinot: Can I run Apache Pinot locally or with Docker?
Yes. Apache Pinot offers a Docker quickstart and free downloads of the latest version (1.5.1 at the time of the page). You are responsible for hosting and infrastructure.
SourceQuantum Metric: What factors affect Quantum Metric pricing?
Pricing scales with digital properties (websites and applications monitored), session volume (data collected and analyzed), and customer success tier selected. Add-on products like employee experience, data enrichment, and data streaming have separate pricing considerations.
SourceApache Pinot: Are there restrictions on how I can use Apache Pinot?
The Apache License permits unrestricted use, but requires retention of license notices and statements. No usage limits or feature restrictions are enforced.
SourceRelated pages
More on Apache Pinot
More on Quantum Metric
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