Databases · head to head
ClickHouse vs Ninox

ClickHouse
Databases
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Ninox free plan limited to 5 users and 5,000 records
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClickHouse and Ninox actually diverge.
| Attribute | ClickHouse | Ninox |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Linux, macOS, Windows (via Docker) | Web |
| Founded | 2021 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Only in Ninox
Nothing recorded that ClickHouse does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Ninox
- Data warehousingnot Ninox
- Real-time analyticsnot Ninox
- Reportingnot Ninox
- Machine learningnot Ninox
Ninox
- No-code database solutions for small to medium teamsnot ClickHouse
- Workflow automation and process managementnot ClickHouse
- Customer data and project tracking with custom viewsnot ClickHouse
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClickHouse
- Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
- Experimental vector search support, not production-ready for vector operations
- Different query syntax from standard SQL requiring migration planning
- Limited JOIN capabilities compared to traditional relational databases
- Migration complexity with 2-4 weeks estimated for data type mapping and query translation
Ninox
- Free plan limited to 5 users and 5,000 records
- API call limits restrict automation on lower tiers (1,000/month free, 10,000/month team)
- Only 7-day history on free plan vs. unlimited on Business
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Ninox
Free- FreeFree
- Up to 5 users
- 100 MB storage
- Up to 5,000 records
- Team$25/month
- 5 GB storage per user
- 50,000 records per user
- 10,000 API calls per user per month
- Business$40/month
- 10 GB storage per user
- 250,000 records per user
- 50,000 API calls per user per month
- Enterprise$null/custom
- Custom pricing available
- Dedicated support
- Custom solutions and governance
Which should you pick?
Choose ClickHouse if
- You need column-oriented storage.
- You want to start without paying.
- You work on Linux, macOS, Windows (via Docker).
- You also want real-time analytics.
Questions people ask
- Is ClickHouse or Ninox better?
- Neither clearly leads. ClickHouse starts at Free and Ninox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Ninox?
- ClickHouse starts at Free and Ninox at Free.
- Does ClickHouse or Ninox run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Ninox runs on Web.
- Can I use ClickHouse for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClickHouse best used for?
- ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Ninox is typically brought in for.
- What can ClickHouse do that Ninox cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability.
Answered from the vendors’ own pages
ClickHouse: What is ClickHouse best used for?
ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.
SourceNinox: How much does Ninox cost?
Ninox is free for individuals with up to 5 users. Team plan is 25 EUR per user per month (billed annually), and Business plan is 40 EUR per user per month (billed annually). Enterprise plans have custom pricing.
SourceClickHouse: Does ClickHouse support transactions?
ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.
SourceNinox: Is Ninox free?
Yes, Ninox offers a free plan for up to 5 users with 100 MB storage and 5,000 records. No payment required to start, and includes all core views: table, form, chart, kanban, maps, and calendar.
SourceClickHouse: How does ClickHouse compare to PostgreSQL?
ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.
SourceNinox: What is Ninox Team plan pricing?
The Team plan costs 25 EUR per user per month (billed annually). It includes 5 GB storage per user, 50,000 records, 10,000 API calls per month per user, and 30-day history. Annual billing is required.
SourceRelated pages
Other head to heads
- ClickHouse vs Apache Druid
- ClickHouse vs SingleStore
- ClickHouse vs Amazon Redshift
- ClickHouse vs TimescaleDB
- ClickHouse vs Tinybird
- ClickHouse vs Timeplus
- ClickHouse vs StarRocks
- ClickHouse vs Presto
- ClickHouse vs DuckDB
- ClickHouse vs Valkey
- ClickHouse vs ArangoDB
- ClickHouse vs Canary Labs
- ClickHouse vs Chroma
- ClickHouse vs Apache Pinot
- ClickHouse vs Apache Doris
- ClickHouse vs Cassandra
- ClickHouse vs Apache Solr
- ClickHouse vs Airtable
- ClickHouse vs Cockroach Labs
- ClickHouse vs PostgreSQL
- ClickHouse vs Amazon Aurora
- ClickHouse vs Apache Airflow
- ClickHouse vs Knack
- ClickHouse vs FaunaDB
- ClickHouse vs Readyset
- ClickHouse vs Elasticsearch
- ClickHouse vs RabbitMQ
- ClickHouse vs Memcached
- ClickHouse vs MotherDuck
- ClickHouse vs Neo4j
- ClickHouse vs OpenSearch
- ClickHouse vs Qdrant
- ClickHouse vs Apache Kafka
- Ninox vs Apache Druid
- Ninox vs SingleStore
- Ninox vs Amazon Redshift
- Ninox vs TimescaleDB
- Ninox vs Tinybird
- Ninox vs Timeplus
- Ninox vs StarRocks
- Ninox vs Presto
- Ninox vs DuckDB
- Ninox vs Valkey
- Ninox vs ArangoDB
- Ninox vs Canary Labs
- Ninox vs Chroma
- Ninox vs Apache Pinot
- Ninox vs Apache Doris
- Ninox vs Cassandra
- Ninox vs Apache Solr
- Ninox vs Airtable
- Ninox vs Cockroach Labs
- Ninox vs PostgreSQL
- Ninox vs Amazon Aurora
- Ninox vs Apache Airflow
- Ninox vs Knack
- Ninox vs FaunaDB
- Ninox vs Readyset
- Ninox vs Elasticsearch
- Ninox vs RabbitMQ
- Ninox vs Memcached
- Ninox vs MotherDuck
- Ninox vs Neo4j
- Ninox vs OpenSearch
- Ninox vs Qdrant
- Ninox vs Apache Kafka

