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Database & Data Management · head to head

ClickHouse vs Firebase Realtime Database

ClickHouse logo

ClickHouse

Database & Data Management

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite
Firebase Realtime Database logo

Firebase Realtime Database

Database & Data Management

Store and sync data in real-time across all clients

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Firebase Realtime Database the no-cost Spark plan caps storage at 1 GB, downloads at 10 GB per month and simultaneous connections at 100
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Firebase Realtime Database covers Real-time Sync.

Where they differ

Only the attributes on which ClickHouse and Firebase Realtime Database actually diverge.

Attributes where ClickHouse and Firebase Realtime Database differ
AttributeClickHouseFirebase Realtime Database
Pricing modelUnknownfreemium
PlatformsLinux, macOS, Windows (via Docker)Web, Ios, Android
Founded20212011

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).

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 Firebase Realtime Database

  • Real-time Sync
  • Offline Support
  • JSON Storage
  • Security Rules
  • Data Validation
  • Multi-platform SDKs
  • Scalable
  • Firebase Auth

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

ClickHouse

  • Business intelligencenot Firebase Realtime Database
  • Data warehousingnot Firebase Realtime Database
  • Real-time analyticsnot Firebase Realtime Database
  • Reportingnot Firebase Realtime Database
  • Machine learningnot Firebase Realtime Database

Firebase Realtime Database

  • Syncing JSON application state between clients in real timenot ClickHouse
  • Backing mobile and web apps with offline capable data storagenot ClickHouse
  • Prototyping realtime features such as presence and chatnot 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

Firebase Realtime Database

  • The no-cost Spark plan caps storage at 1 GB, downloads at 10 GB per month and simultaneous connections at 100
  • The Spark plan does not support multiple databases in a project
  • Even on the paid Blaze plan simultaneous connections are capped at 200,000 per database
  • Billing is by data transferred out at $1 per GB plus $5 per GB stored, so chatty clients cost more than the data volume suggests

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Firebase Realtime Database

Free
  • SparkFree
    • 1GB storage
    • 10GB/month download
    • 100 simultaneous connections
  • BlazeFree
    • Pay as you go
    • Unlimited storage
    • Unlimited connections

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.
ClickHouse review

Choose Firebase Realtime Database if

  • You need real-time sync.
  • You want to start without paying.
  • You work on Web, Ios, Android.
  • You also want offline support.
Firebase Realtime Database review

Questions people ask

Is ClickHouse or Firebase Realtime Database better?
Neither clearly leads. ClickHouse starts at Free and Firebase Realtime Database at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Firebase Realtime Database?
ClickHouse starts at Free and Firebase Realtime Database at Free.
Does ClickHouse or Firebase Realtime Database run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Firebase Realtime Database runs on Web, Ios, Android.
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 Firebase Realtime Database is typically brought in for.
What can ClickHouse do that Firebase Realtime Database cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Firebase Realtime Database covers Real-time Sync, Offline Support, JSON Storage, Security Rules. Both handle Web support.

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.

Source
ClickHouse: 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.

Source
ClickHouse: 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.

Source
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