Databases · head to head
Apache Druid vs Preset

Apache Druid
Databases
Real-time analytics database for sub-second OLAP queries
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Preset limited SQL IDE advanced features compared to specialized query tools
- They diverge on capability: Apache Druid covers Real-time Ingestion, Preset covers Managed Superset.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Druid and Preset actually diverge.
| Attribute | Apache Druid | Preset |
|---|---|---|
| Pricing model | open-source | Unknown |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Web, Cloud |
| Category | Databases | Business Intelligence |
| Founded | 1999 | 2019 |
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 Druid
- Real-time Ingestion
- Sub-second Queries
- Column-oriented Storage
- Streaming Integration
- Approximate Algorithms
- Flexible Schemas
- Time-based Partitioning
- Kafka
Only in Preset
- Managed Superset
- Auto-scaling
- Enterprise Security
- Custom Branding
- API Access
- Snowflake
- BigQuery
- Redshift
What people use each for
The jobs each tool is most often brought in to do.
Apache Druid
- Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Preset
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Preset
- Time-series and event analysis at massive scale with columnar storage efficiencynot Preset
Preset
- Self-service analyticsnot Apache Druid
- Data explorationnot Apache Druid
- Ad-hoc reportingnot Apache Druid
- Collaborative analysisnot Apache Druid
- Embedded analyticsnot Apache Druid
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Druid
- Open-source offering lacks high-availability, distributed architecture, and enterprise security features
- Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
- High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment
Preset
- Limited SQL IDE advanced features compared to specialized query tools
- Viewer licenses add substantial cost for embedded analytics deployments
- Dataset-centric approach requires preprocessing by data teams for some use cases
Pricing, plan by plan
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Preset
FreeNo published plan breakdown. See the Preset review.
Which should you pick?
Choose Apache Druid if
- You need real-time ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Native deployment (Java-based).
- You also want sub-second queries.
Choose Preset if
- You need managed superset.
- You want to start without paying.
- You work on Web, Cloud.
- You also want auto-scaling.
Questions people ask
- Is Apache Druid or Preset better?
- Neither clearly leads. Apache Druid starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Druid or Preset?
- Apache Druid starts at Free and Preset at Free.
- Does Apache Druid or Preset run on more platforms?
- Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Preset runs on Web, Cloud.
- Can I use Apache Druid for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Druid best used for?
- Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what Preset is typically brought in for.
- What can Apache Druid do that Preset cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding.
Answered from the vendors’ own pages
Apache Druid: Is Apache Druid free to use?
Apache Druid is an open-source project with no licensing fees. It is licensed under CC BY-SA 4.0, and the Druid name and logo are trademarks of The Apache Software Foundation.
SourcePreset: Is Preset free?
Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.
SourceApache Druid: Can I use Apache Druid for commercial purposes?
Yes, Apache Druid is open-source software available for commercial use at no cost. The CC BY-SA 4.0 license permits commercial deployment.
SourcePreset: Can I export my data from Preset?
Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.
SourceApache Druid: Where do I find pricing for commercial support or services?
No pricing or support tiers are published on the Apache Druid homepage. For commercial support options, contact the Apache Druid community or consult additional resources beyond the project website.
SourcePreset: Does Preset include embedded analytics?
Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.
SourcePreset: What is the enterprise pricing for Preset?
Enterprise plans are custom quoted. The median buyer pays $35,495 per year.
SourcePreset: Does Preset support AI-powered analytics?
Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.
SourceRelated pages
More on Apache Druid
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- Preset vs Airtable
- Preset vs Cockroach Labs
- Preset vs PostgreSQL
- Preset vs Firebolt
- Preset vs DuckDB
- Preset vs Estuary
- Preset vs TimescaleDB
- Preset vs QuestDB
- Preset vs Solace PubSub+
- Preset vs SQLite
- Preset vs SurrealDB
- Preset vs Teradata
- Preset vs TIBCO Enterprise Message Service
- Preset vs Power BI
- Preset vs Amazon QuickSight
- Preset vs Domo
- Preset vs Oracle Analytics Cloud
- Preset vs Chartio
- Preset vs Reportz
- Preset vs Snowplow
- Preset vs Yellowfin
- Preset vs Zebra BI
- Preset vs Sisense
- Preset vs MicroStrategy
- Preset vs Qlik Sense
- Preset vs ThoughtSpot
- Preset vs Cube
- Preset vs Pigment
- Preset vs Cyfe
- Preset vs DashThis
- Preset vs Deepnote

