Softwr

Database & Data Management · head to head

ClickHouse vs Fresha

ClickHouse logo

ClickHouse

Database & Data Management

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

From
Free
Rated
-
Full reviewWebsite
Fresha logo

Fresha

Scheduling & Booking

Free salon and spa software

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; Fresha fresha charges a 50 percent one time commission on each new client booked through its marketplace, subject to a minimum fee per client
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Fresha covers Online booking.

Where they differ

Only the attributes on which ClickHouse and Fresha actually diverge.

Attributes where ClickHouse and Fresha differ
AttributeClickHouseFresha
Pricing modelUnknownfree
PlatformsLinux, macOS, Windows (via Docker)Web, Ios, Android
CategoryDatabase & Data ManagementScheduling & Booking
Founded20212015

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 ClickHouse

  • Column-oriented Storage
  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka

Only in Fresha

  • Online booking
  • Appointment management
  • Client database
  • Point of sale
  • Inventory management
  • Staff scheduling
  • Marketing tools
  • Reports & analytics

Both cover

  • Web support

What people use each for

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

ClickHouse

  • Business intelligencenot Fresha
  • Data warehousingnot Fresha
  • Real-time analyticsnot Fresha
  • Reportingnot Fresha
  • Machine learningnot Fresha

Fresha

  • Running appointment booking and point of sale for salons and spasnot ClickHouse
  • Attracting new clients through the Fresha consumer marketplacenot ClickHouse
  • Sending appointment reminders and marketing campaigns to clientsnot 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

Fresha

  • Fresha charges a 50 percent one time commission on each new client booked through its marketplace, subject to a minimum fee per client
  • Online card payments carry a 4.90 percent plus fixed fee per transaction charge on top of the subscription
  • Only 20 SMS or WhatsApp notifications and 50 marketing emails are free each month; everything beyond that is billed per message
  • Team and Enterprise plans are quoted as custom rates with no published figure
  • Add ons such as Team Connect and Insights are billed per team member per month on top of the plan
  • Enterprise pricing applies to businesses with 20 or more team members

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Fresha

Free
  • FreeFree
    • Unlimited appointments
    • Unlimited staff
    • Online booking
  • Payments (Add-on)$2.19/transaction
    • Card payments
    • Contactless payments
    • Online payments
  • Marketing (Add-on)$0.01/message
    • Email campaigns
    • SMS marketing
    • Automated messages

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 Fresha if

  • You need online booking.
  • You want to start without paying.
  • You work on Web, Ios, Android.
  • You also want appointment management.
Fresha review

Questions people ask

Is ClickHouse or Fresha better?
Neither clearly leads. ClickHouse starts at Free and Fresha at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Fresha?
ClickHouse starts at Free and Fresha at Free.
Does ClickHouse or Fresha run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Fresha 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 Fresha is typically brought in for.
What can ClickHouse do that Fresha cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Fresha covers Online booking, Appointment management, Client database, Point of sale. 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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Related pages

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