Databases · head to head
Apache Pinot vs Equals

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

Equals
Spreadsheets
A real spreadsheet with SQL result sets landing in its cells, now sold only on annual contracts starting at 24,000 USD
- From
- $24000/year
- 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; Equals the price list now starts at 24,000 USD a year with no monthly billing and no self-serve signup, having offered a free plan in 2023 and 39 USD per seat in 2024, so any team that evaluated it previously is looking at a different product commercially.
- They diverge on capability: Apache Pinot covers Real-time Analytics, Equals covers Connected sheets.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Apache Pinot and Equals actually diverge.
| Attribute | Apache Pinot | Equals |
|---|---|---|
| Starting price | Free | $24000/year |
| Pricing model | open-source | Per year by connector count and refresh frequency |
| Free tier | Yes | No |
| Platforms | Linux, Docker, Kubernetes | Web, API |
| Category | Databases | Spreadsheets |
| Founded | 1999 | Unknown |
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 Equals
- Connected sheets
- Real spreadsheet mechanics
- Cell references into SQL
- Equals Warehouse
- Views
- Writeback
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 Equals
- User-facing dashboards inside a productnot Equals
- Real-time metrics at high ingest ratesnot Equals
- Petabyte-scale analytics as run at LinkedIn and Ubernot Equals
Equals
- A revenue operations team that wants software metrics computed in a spreadsheet rather than defined in a BI semantic layernot Apache Pinot
- Analysts who need a SQL result and manual assumptions in the same file, with the assumptions visible as cellsnot Apache Pinot
- Joining Stripe, Salesforce and a production database without building a warehouse and pipeline firstnot Apache Pinot
- Distributing a recurring numbers pack to Slack, email or a wall display without rebuilding it as a dashboardnot 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
Equals
- The price list now starts at 24,000 USD a year with no monthly billing and no self-serve signup, having offered a free plan in 2023 and 39 USD per seat in 2024, so any team that evaluated it previously is looking at a different product commercially.
- Your data is copied out of your infrastructure by design, into a Snowflake warehouse that Equals operates, with Fivetran holding non-SQL source data in transit, and no self-hosted or bring-your-own-warehouse option is documented.
- The financial function category contains only IRR, NPV and PMT, with no XIRR, XNPV, FV, PV, RATE or NPER, and there is no LAMBDA, LET, OFFSET or INDIRECT, so a substantial class of existing spreadsheet models cannot be ported without rework.
- No documentation of importing or exporting Excel files exists anywhere in the docs index; the supported file sources are CSV and Google Sheets and the only documented export is dashboards as PDF, which is a notable gap for a product positioning itself as a successor to Excel.
- Data freshness is a pricing lever rather than a setting, at six hours on Essential, one hour on Business and fifteen minutes on Enterprise, and the feature that removes row limits is itself gated above the entry tier, so the Essential row ceiling is neither published nor unlimited.
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
Equals
$24000/year- Essential$24000/year
- Unlimited viewers and unlimited editors
- 3 connectors
- Data sync every 6 hours
- Business$36000/year
- Unlimited viewers and unlimited editors
- 5 connectors or a warehouse connection
- Data sync every hour
- Enterprise$60000/year
- Unlimited viewers and unlimited editors
- Unlimited connectors or a warehouse connection
- Data sync every 15 minutes
- Connector add-ons$199/month
- 199 USD per month for each additional database or import script connector
- 699 USD per month for each additional connector of any other type
- Available on Business and Enterprise
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 Equals if
- You need connected sheets.
- You work on Web, API.
- You also want real spreadsheet mechanics.
Questions people ask
- Is Apache Pinot or Equals better?
- Neither clearly leads. Apache Pinot starts at Free and Equals at $24000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or Equals?
- Apache Pinot has a free tier; the other does not. Paid plans start at Free for Apache Pinot and $24000/year for Equals.
- Does Apache Pinot or Equals run on more platforms?
- Apache Pinot runs on Linux, Docker, Kubernetes. Equals runs on Web, API.
- Can I use Apache Pinot for free?
- Yes. Apache Pinot has a free tier, so you can try it without paying. Equals starts at $24000/year.
- 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 Equals is typically brought in for.
- What can Apache Pinot do that Equals cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Equals covers Connected sheets, Real spreadsheet mechanics, Cell references into SQL, Equals Warehouse.
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.
SourceEquals: Is it a real spreadsheet or a modelling tool with a grid?
A real spreadsheet. A1 references, absolute reference locking, pivot tables and spilling array formulas all work, and SQL results land in ranges that ordinary cells reference.
Apache 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.
SourceEquals: What does it actually cost?
24,000 USD a year for Essential, 36,000 for Business and 60,000 for Enterprise, billed annually. There is no monthly option and no self-serve signup; the trial is negotiated per customer.
Apache 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.
SourceEquals: Are seats charged?
No. Viewers and editors are unlimited on every plan. The meters are connector count, refresh frequency and AI spend, with additional connectors at 199 or 699 USD a month.
Apache 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.
SourceEquals: Does my data stay in my own warehouse?
No. Connecting more than one source syncs data into a Snowflake warehouse that Equals runs, and non-SQL sources pass through Fivetran. There is no documented self-hosted option.
Related 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 Looker
- Apache Pinot vs Coefficient
- Apache Pinot vs Metabase
- Apache Pinot vs Redash
- Apache Pinot vs Quadratic
- Apache Pinot vs Sigma Computing
- Apache Pinot vs Tableau
- Apache Pinot vs Apache Superset
- Apache Pinot vs Teable
- Apache Pinot vs Baserow
- Apache Pinot vs Numbers
- Apache Pinot vs SeaTable
- Apache Pinot vs APITable
- Apache Pinot vs Cube Software
- Apache Pinot vs Mathesar
- Apache Pinot vs Rowy
- Equals vs ClickHouse
- Equals vs Tinybird
- Equals vs Airtable
- Equals vs Cockroach Labs
- Equals vs PostgreSQL
- Equals vs Amazon Aurora
- Equals vs SingleStore
- Equals vs DuckDB
- Equals vs Firebolt
- Equals vs Estuary
- Equals vs TimescaleDB
- Equals vs Materialize
- Equals vs DataGrip
- Equals vs Google Cloud SQL
- Equals vs Microsoft SQL Server
- Equals vs QuestDB
- Equals vs Looker
- Equals vs Coefficient
- Equals vs Metabase
- Equals vs Redash
- Equals vs Quadratic
- Equals vs Sigma Computing
- Equals vs Tableau
- Equals vs Apache Superset
- Equals vs Teable
- Equals vs Baserow
- Equals vs Numbers
- Equals vs SeaTable
- Equals vs APITable
- Equals vs Cube Software
- Equals vs Mathesar
- Equals vs Rowy
