Databases · head to head
Apache Pinot vs Mode

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; Mode free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- They diverge on capability: Apache Pinot covers Real-time Analytics, Mode covers SQL Editor.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Pinot and Mode actually diverge.
| Attribute | Apache Pinot | Mode |
|---|---|---|
| Pricing model | open-source | subscription |
| Platforms | Linux, Docker, Kubernetes | Web |
| Category | Databases | Business Intelligence |
| Founded | 1999 | 2013 |
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 Mode
- SQL Editor
- Python/R Notebooks
- Interactive Reports
- Version Control
- Scheduling
- Snowflake
- Redshift
- BigQuery
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 Mode
- User-facing dashboards inside a productnot Mode
- Real-time metrics at high ingest ratesnot Mode
- Petabyte-scale analytics as run at LinkedIn and Ubernot Mode
Mode
- Self-service analyticsnot Apache Pinot
- Data explorationnot Apache Pinot
- Ad-hoc reportingnot Apache Pinot
- Collaborative analysisnot Apache Pinot
- Embedded analyticsnot 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
Mode
- Free tier limited to 4GB RAM and 1 CPU for SQL notebooks, insufficient for large datasets
- Requires SQL knowledge for most analysis tasks, creating dependency on technical resources
- Paid plan pricing not publicly listed; requires sales consultation
- Recently acquired by ThoughtSpot in 2026, creating product direction uncertainty
- Limited customization options for visual aspects and embedded analytics
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Mode
Free- FreeFree
- SQL Editor
- Python/R Notebooks
- Basic Charts
- Business$65/month
- Advanced Visualizations
- Collaboration
- Integrations
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 Mode if
- You need sql editor.
- You want to start without paying.
- You also want python/r notebooks.
Questions people ask
- Is Apache Pinot or Mode better?
- Neither clearly leads. Apache Pinot starts at Free and Mode at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Mode?
- Apache Pinot starts at Free and Mode at Free.
- Does Apache Pinot or Mode run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Mode runs on Web.
- 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 Mode is typically brought in for.
- What can Apache Pinot do that Mode cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Mode covers SQL Editor, Python/R Notebooks, Interactive Reports, Version Control.
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.
SourceMode: What languages does Mode support for analysis?
Mode notebooks support SQL, Python (3.11 with pandas, NumPy, scikit-learn, matplotlib), and R (4.2.0 with ggplot2, dplyr, tidyr). Both Python and R allow additional library installation at runtime.
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.
SourceMode: Can I integrate Mode notebook results into reports?
Yes. Mode allows adding notebook cell results directly to reports, with synchronized scheduling so reports re-run to keep data current.
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.
SourceMode: Does Mode support collaborative analysis?
Yes. Mode notebooks provide moveable code blocks and markdown cells enabling exploratory analysis and team collaboration on data queries and visualizations.
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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- Mode vs ClickHouse
- Mode vs Tinybird
- Mode vs Airtable
- Mode vs Cockroach Labs
- Mode vs PostgreSQL
- Mode vs Amazon Aurora
- Mode vs SingleStore
- Mode vs DuckDB
- Mode vs Firebolt
- Mode vs Estuary
- Mode vs TimescaleDB
- Mode vs Materialize
- Mode vs DataGrip
- Mode vs Google Cloud SQL
- Mode vs Microsoft SQL Server
- Mode vs QuestDB
- Mode vs Periscope Data
- Mode vs Domo
- Mode vs Fabi
- Mode vs Deepnote
- Mode vs Yellowfin
- Mode vs TIBCO Spotfire
- Mode vs Hex
- Mode vs GoodData
- Mode vs Grow
- Mode vs Qlik Sense
- Mode vs Cube
- Mode vs Cyfe
- Mode vs Geckoboard
- Mode vs Google Data Studio
- Mode vs Lightdash
- Mode vs Oracle Analytics Cloud

