Databases · head to head
Apache Pinot vs ProfitWell

Apache Pinot
Databases
Real-time distributed OLAP datastore for analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; ProfitWell profitWell is now part of Paddle and its pricing page redirects to paddle.com, so it is no longer sold or priced independently
- They diverge on capability: Apache Pinot covers Real-time Analytics, ProfitWell covers Free Metrics.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and ProfitWell actually diverge.
| Attribute | Apache Pinot | ProfitWell |
|---|---|---|
| Pricing model | open-source | freemium |
| Platforms | Linux, Docker, Kubernetes | Web, Api |
| Category | Databases | Business Intelligence |
| Founded | 1999 | 2012 |
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 Apache Pinot
- Real-time Analytics
- Column-oriented
- Distributed Processing
- SQL Support
- Pluggable Indexing
- Star-tree Index
- Upsert Support
- Kafka
Only in ProfitWell
- Free Metrics
- Churn Reduction
- Price Optimization
- Revenue Recognition
- Benchmarking
- Stripe
- Chargebee
- Recurly
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 ProfitWell
- User-facing dashboards inside a productnot ProfitWell
- Real-time metrics at high ingest ratesnot ProfitWell
- Petabyte-scale analytics as run at LinkedIn and Ubernot ProfitWell
ProfitWell
- Subscription revenue metrics and churn reportingnot Apache Pinot
- Recovering failed payments and reducing involuntary churnnot 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
ProfitWell
- ProfitWell is now part of Paddle and its pricing page redirects to paddle.com, so it is no longer sold or priced independently
- Reaching any figure requires going through Paddle's own pricing rather than a ProfitWell rate card
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
ProfitWell
Free- Free MetricsFree
- Revenue Metrics
- Dashboards
- Basic Reports
- RetainFree
- Churn Reduction
- Payment Recovery
- Custom Pricing
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 ProfitWell if
- You need free metrics.
- You want to start without paying.
- You work on Web, Api.
- You also want churn reduction.
Questions people ask
- Is Apache Pinot or ProfitWell better?
- Neither clearly leads. Apache Pinot starts at Free and ProfitWell at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or ProfitWell?
- Apache Pinot starts at Free and ProfitWell at Free.
- Does Apache Pinot or ProfitWell run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. ProfitWell runs on Web, Api.
- Can I use Apache Pinot for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 ProfitWell is typically brought in for.
- What can Apache Pinot do that ProfitWell cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. ProfitWell covers Free Metrics, Churn Reduction, Price Optimization, Revenue Recognition.
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.
SourceProfitWell: Is ProfitWell still available as a standalone product?
ProfitWell has been integrated into Paddle. The ProfitWell Metrics analytics tool is now part of Paddle's suite and is available at no cost.
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.
SourceProfitWell: What is Paddle's standard pricing model?
Paddle charges 5% plus 50 cents per checkout transaction on its standard pay-as-you-go plan. Custom pricing is available for products under $10 or for customers requiring invoicing.
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.
SourceProfitWell: What is included in Paddle's all-inclusive pricing?
Paddle's standard plan includes tax and compliance, unified billing, churn prevention tools, fraud protection, and 24/7 customer support. No separate monthly or hidden fees apply.
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.
SourceProfitWell: What is the minimum spend required for Paddle's enterprise plan?
Paddle offers custom enterprise pricing with negotiated rates for scaling and established businesses. Customers receive tailored pricing aligned with their business model and access to premium support and advisory services.
SourceRelated pages
More on Apache Pinot
Other head to heads
- Apache Pinot vs ClickHouse
- Apache Pinot vs Tinybird
- Apache Pinot vs Airtable
- Apache Pinot vs Cockroach Labs
- Apache Pinot vs PostgreSQL
- Apache Pinot vs Amazon Aurora
- Apache Pinot vs SingleStore
- Apache Pinot vs DuckDB
- Apache Pinot vs Firebolt
- Apache Pinot vs Estuary
- Apache Pinot vs TimescaleDB
- Apache Pinot vs Materialize
- Apache Pinot vs DataGrip
- Apache Pinot vs Google Cloud SQL
- Apache Pinot vs Microsoft SQL Server
- Apache Pinot vs QuestDB
- Apache Pinot vs MicroStrategy
- Apache Pinot vs Power BI
- Apache Pinot vs Sisense
- Apache Pinot vs Amazon QuickSight
- Apache Pinot vs Baremetrics
- Apache Pinot vs ChartMogul
- Apache Pinot vs Google Data Studio
- Apache Pinot vs Stripe Dashboard
- Apache Pinot vs Klipfolio
- Apache Pinot vs Databox
- Apache Pinot vs DashThis
- Apache Pinot vs Geckoboard
- Apache Pinot vs Evidence
- Apache Pinot vs Grow
- Apache Pinot vs Lightdash
- Apache Pinot vs Mode
- ProfitWell vs ClickHouse
- ProfitWell vs Tinybird
- ProfitWell vs Airtable
- ProfitWell vs Cockroach Labs
- ProfitWell vs PostgreSQL
- ProfitWell vs Amazon Aurora
- ProfitWell vs SingleStore
- ProfitWell vs DuckDB
- ProfitWell vs Firebolt
- ProfitWell vs Estuary
- ProfitWell vs TimescaleDB
- ProfitWell vs Materialize
- ProfitWell vs DataGrip
- ProfitWell vs Google Cloud SQL
- ProfitWell vs Microsoft SQL Server
- ProfitWell vs QuestDB
- ProfitWell vs MicroStrategy
- ProfitWell vs Power BI
- ProfitWell vs Sisense
- ProfitWell vs Amazon QuickSight
- ProfitWell vs Baremetrics
- ProfitWell vs ChartMogul
- ProfitWell vs Google Data Studio
- ProfitWell vs Stripe Dashboard
- ProfitWell vs Klipfolio
- ProfitWell vs Databox
- ProfitWell vs DashThis
- ProfitWell vs Geckoboard
- ProfitWell vs Evidence
- ProfitWell vs Grow
- ProfitWell vs Lightdash
- ProfitWell vs Mode

