Databases · head to head
Apache Pinot vs Grow

Apache Pinot
Databases
Real-time distributed OLAP datastore for analytics
- From
- Free
- 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; Grow the pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it
- They diverge on capability: Apache Pinot covers Real-time Analytics, Grow covers No-code Setup.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and Grow actually diverge.
| Attribute | Apache Pinot | Grow |
|---|---|---|
| Starting price | Free | $500/month |
| Pricing model | open-source | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Docker, Kubernetes | Web, Mobile, Tv |
| Category | Databases | Business Intelligence |
| Founded | 1999 | 2014 |
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 Grow
- No-code Setup
- Unlimited Dashboards
- Data Blending
- Alerts
- Embedding
- Salesforce
- HubSpot
- QuickBooks
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 Grow
- User-facing dashboards inside a productnot Grow
- Real-time metrics at high ingest ratesnot Grow
- Petabyte-scale analytics as run at LinkedIn and Ubernot Grow
Grow
- No-code dashboards and business intelligence for teams without analystsnot Apache Pinot
- Blending data from more than 100 sources including BigQuery, PostgreSQL, Salesforce and HubSpotnot Apache Pinot
- ETL, warehousing and visualisation in a single platformnot 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
Grow
- The pricing URL serves marketing content with no plan, rate, minimum or cost driver published anywhere on it
- The only calls to action are Get Started Now and Watch Demo; there is no self-serve rate card
- The vendor advertises unlimited users with no per-seat charges, which means the price driver is not disclosed at all
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Grow
$500/month- Starter$500/month
- Unlimited Users
- 75+ Integrations
- Support
- Pro$1000/month
- Advanced Features
- Custom Integrations
- Training
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 Grow if
- You need no-code setup.
- You work on Web, Mobile, Tv.
- You also want unlimited dashboards.
Questions people ask
- Is Apache Pinot or Grow better?
- Neither clearly leads. Apache Pinot starts at Free and Grow at $500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Grow?
- Apache Pinot has a free tier; the other does not. Paid plans start at Free for Apache Pinot and $500/month for Grow.
- Does Apache Pinot or Grow run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Grow runs on Web, Mobile, Tv.
- Can I use Apache Pinot for free?
- Yes. Apache Pinot has a free tier, so you can try it without paying. Grow starts at $500/month.
- 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 Grow is typically brought in for.
- What can Apache Pinot do that Grow cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Grow covers No-code Setup, Unlimited Dashboards, Data Blending, 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.
SourceGrow: How much does Grow cost?
Grow does not publish pricing on their website. They offer a request-a-free-trial model that requires contacting their sales team. Pricing is determined by contacting sales through their contact form or trial request process.
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.
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.
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
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- Grow vs ClickHouse
- Grow vs Tinybird
- Grow vs Airtable
- Grow vs Cockroach Labs
- Grow vs PostgreSQL
- Grow vs Amazon Aurora
- Grow vs SingleStore
- Grow vs DuckDB
- Grow vs Firebolt
- Grow vs Estuary
- Grow vs TimescaleDB
- Grow vs Materialize
- Grow vs DataGrip
- Grow vs Google Cloud SQL
- Grow vs Microsoft SQL Server
- Grow vs QuestDB
- Grow vs Databox
- Grow vs Power BI
- Grow vs Sisense
- Grow vs Amazon QuickSight
- Grow vs MicroStrategy
- Grow vs Klipfolio
- Grow vs Cyfe
- Grow vs Hex
- Grow vs Rill Data
- Grow vs DashThis
- Grow vs Deepnote
- Grow vs Zoho Analytics
- Grow vs Reportz
- Grow vs SAP BusinessObjects
- Grow vs Snowplow
- Grow vs Stripe Dashboard
- Grow vs TIBCO Spotfire

