Databases · head to head
Apache Pinot vs OpsLevel

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

OpsLevel
Developer Tools
Internal developer portal that scores service ownership and production readiness
- From
- On request
- Free plan
- No
The short version
- Apache Pinot is a real-time distributed OLAP datastore.
- Apache Pinot is free; OpsLevel prices on request.
- Only Apache Pinot lists real-time Analytics; only OpsLevel lists service catalogue.
- Where Apache Pinot falls short: self-hosted and distributed, so running it means operating a cluster rather than consuming a service.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Apache Pinot and OpsLevel actually diverge.
| Attribute | Apache Pinot | OpsLevel |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Open-source | Quote |
| Free tier | Yes | No |
| Platforms | Linux, Self-hosted | Web |
| Category | Databases | Developer Tools |
Not yet recorded: founded for OpsLevel.
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 OpsLevel
- Service catalogue
- Scorecards and rubric
- Checks
- Campaigns
- Self-service actions
- Slack and Teams integration
- Catalogue auto-enrichment
- Deployment on request
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 OpsLevel
- User-facing dashboards inside a productnot OpsLevel
- Real-time metrics at high ingest ratesnot OpsLevel
- Petabyte-scale analytics as run at LinkedIn and Ubernot OpsLevel
OpsLevel
- A platform team that needs to prove every production service has a named owner and an on-call rota before an auditnot Apache Pinot
- Driving a fleet-wide migration such as a runtime upgrade across 400 services with a deadline and visible progressnot Apache Pinot
- Giving developers a paved road to create a new service from a template without waiting on the platform teamnot Apache Pinot
- An organisation where an incident took an hour to route because nobody could identify the owning teamnot 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
OpsLevel
- OpsLevel does not publish prices at all, not even a starting figure, so you cannot size a budget or compare against Backstage's zero licence cost without entering a sales cycle
- The Standard plan caps at 50 users, which is below the size at which service ownership becomes a real problem, so most genuine buyers land on Enterprise and its unpublished pricing
- Scores are only as honest as the metadata teams maintain; where ownership records go stale the rubric produces confident numbers about a catalogue that no longer reflects reality, and leadership acts on them
- It reports on quality rather than producing it, so it can generate friction between platform teams who set the rubric and product teams who see it as a scoreboard imposed on them without extra headcount to fix the findings
- As a hosted product it needs read access to source control, cloud accounts and observability tooling, which is a meaningful vendor review in regulated environments; on-premises exists but only on the Enterprise tier
Pricing, plan by plan
Apache Pinot
Free- Open SourceFree
- Real-time analytics
- SQL queries
- Horizontal scaling
OpsLevel
On request- StandardOn request
- Up to 50 users
- Unlimited catalogued components
- Scorecards, campaigns and the global rubric
- EnterpriseOn request
- Unlimited users
- Custom integrations
- Customisable dashboards
Which should you pick?
Choose Apache Pinot if
- You need real-time analytics.
- You want to start without paying.
- You work on Linux, Self-hosted.
- You also want column-oriented.
Questions people ask
- Is Apache Pinot or OpsLevel better?
- Neither clearly leads. Apache Pinot starts at Free and OpsLevel at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Pinot or OpsLevel?
- Apache Pinot has a free tier; the other does not. Paid plans start at Free for Apache Pinot and On request for OpsLevel.
- Does Apache Pinot or OpsLevel run on more platforms?
- Apache Pinot runs on Linux, Self-hosted. OpsLevel runs on Web.
- Can I use Apache Pinot for free?
- Yes. Apache Pinot has a free tier, so you can try it without paying. OpsLevel 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 OpsLevel is typically brought in for.
- What can Apache Pinot do that OpsLevel cannot?
- Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. OpsLevel covers Service catalogue, Scorecards and rubric, Checks, Campaigns.
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.
SourceOpsLevel: How much does OpsLevel cost?
It does not publish pricing. Billing is per developer using the portal, with volume discounts, and a quote requires a sales conversation.
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.
SourceOpsLevel: How does it compare with Backstage?
Backstage has no licence fee but you staff a team to build and run it. OpsLevel is hosted with checks, campaigns and scorecards out of the box, and you pay per developer instead.
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.
SourceOpsLevel: Does it require writing catalogue YAML by hand?
No. It auto-discovers and enriches entries from connected systems, though teams still curate ownership and metadata.
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.
SourceOpsLevel: Can it run on premises?
Yes, but only on the Enterprise plan.
Related pages
More on Apache Pinot
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- OpsLevel vs SingleStore
- OpsLevel vs DuckDB
- OpsLevel vs Firebolt
- OpsLevel vs Estuary
- OpsLevel vs TimescaleDB
- OpsLevel vs Materialize
- OpsLevel vs Redis
- OpsLevel vs Firebase Realtime Database
- OpsLevel vs Fivetran HVR
- OpsLevel vs Elasticsearch
- OpsLevel vs Couchbase
- OpsLevel vs DynamoDB
- OpsLevel vs Immuta
- OpsLevel vs MariaDB
- OpsLevel vs Oracle Database
- OpsLevel vs Trino
- OpsLevel vs Backstage
- OpsLevel vs Earthly
- OpsLevel vs Docker
- OpsLevel vs Cortex
- OpsLevel vs Blacksmith
- OpsLevel vs Jenkins
- OpsLevel vs Nix
- OpsLevel vs Kubernetes
- OpsLevel vs LaunchDarkly
- OpsLevel vs Terraform
- OpsLevel vs Depot
- OpsLevel vs Spacelift
- OpsLevel vs GoLand
- OpsLevel vs Hookdeck
- OpsLevel vs Istio
- OpsLevel vs JFrog Artifactory
- OpsLevel vs Namespace
- OpsLevel vs Nixpacks
