Software · head to head
Apache Druid vs Census

Apache Druid
Software
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; Census census was folded into Fivetran Activations, per the vendor: "Previously, this was called a sync in Census", and its own pricing page redirects to Fivetran pricing rather than showing Census plans
- They diverge on capability: Apache Druid covers Real-time Ingestion, Census covers Reverse ETL.
Where they differ
Only the attributes on which Apache Druid and Census actually diverge.
| Attribute | Apache Druid | Census |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Docker, Kubernetes, Native deployment (Java-based) | Web, Api |
| Founded | 1999 | 2020 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Census
- Reverse ETL
- Data syncing
- Transformation
- Real-time activation
- Error handling
- Monitoring
- Analytics
- 150+ destinations
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 Census
- Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Census
- Time-series and event analysis at massive scale with columnar storage efficiencynot Census
Census
- Syncing customer data from a warehouse into marketing and sales tools (reverse ETL)not 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
Census
- Census was folded into Fivetran Activations, per the vendor: "Previously, this was called a sync in Census", and its own pricing page redirects to Fivetran pricing rather than showing Census plans
- Free Fivetran Activations tier caps at 3,500 monthly active rows
Pricing, plan by plan
Apache Druid
FreeNo published plan breakdown. See the Apache Druid review.
Census
Free- FreeFree
- Basic syncing
- Limited destinations
- Pro$250/month
- Advanced syncing
- Email support
- Enterprise$1500/month
- Unlimited syncing
- Dedicated support
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 Census if
- You need reverse etl.
- You want to start without paying.
- You work on Web, Api.
- You also want data syncing.
Questions people ask
- Is Apache Druid or Census better?
- Neither clearly leads. Apache Druid starts at Free and Census at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Druid or Census?
- Apache Druid starts at Free and Census at Free.
- Does Apache Druid or Census run on more platforms?
- Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Census runs on Web, Api.
- 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 Census is typically brought in for.
- What can Apache Druid do that Census cannot?
- Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Census covers Reverse ETL, Data syncing, Transformation, Real-time activation.
Related pages
More on Apache Druid
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