Scheduling & Booking · head to head
Booksy vs PostgreSQL
PostgreSQL
Database & Data Management
The world's most advanced open source relational database
- From
- Free
- Rated
- -
The short version
- Only PostgreSQL has a free tier, so it costs nothing to try first.
- Each has a real cost: Booksy the Boost marketplace feature charges a one time 30% fee on the first visit cost for each client it brings in; PostgreSQL requires manual scaling across multiple machines for very large deployments
- They diverge on capability: Booksy covers Online booking, PostgreSQL covers ACID Compliance.
Where they differ
Only the attributes on which Booksy and PostgreSQL actually diverge.
| Attribute | Booksy | PostgreSQL |
|---|---|---|
| Starting price | $29.99/month | Free |
| Pricing model | subscription | Unknown |
| Free tier | No | Yes |
| Platforms | Web, Ios, Android | Linux, Windows, macOS, BSD, Unix |
| Category | Scheduling & Booking | Database & Data Management |
| Founded | 2014 | 1996 |
Identical on both: 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 Booksy
- Online booking
- Calendar management
- Client database
- Automated reminders
- Marketing tools
- Reviews management
- Mobile apps
- Analytics dashboard
Only in PostgreSQL
- ACID Compliance
- JSON/JSONB Support
- Full-text Search
- Extensibility
- Advanced Indexing
- Partitioning
- Replication
- pgAdmin
What people use each for
The jobs each tool is most often brought in to do.
Booksy
- Appointment booking and client management for salons and barbersnot PostgreSQL
- Taking payments and deposits against bookingsnot PostgreSQL
PostgreSQL
- Transaction processingnot Booksy
- Data storagenot Booksy
- Application backendnot Booksy
- Reportingnot Booksy
- Data analyticsnot Booksy
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Booksy
- The Boost marketplace feature charges a one time 30% fee on the first visit cost for each client it brings in
- Additional team members are $20 a month each on top of the $29.99 base
- Card processing runs from 2.49% plus $0.10 to 2.69% plus $0.30 depending on how the payment is taken
- Getting paid out within 30 minutes costs a further 1.5%
- Card readers are bought separately at $53.10 or $219.85 plus shipping
PostgreSQL
- Requires manual scaling across multiple machines for very large deployments
- Performance tuning requires deep knowledge of database internals
- No built-in graphical admin interface; command-line tools are primary method
Pricing, plan by plan
Booksy
$29.99/month- Solo$29.99/month
- Unlimited bookings
- Client management
- Mobile app
- Team$49.99/month
- Everything in Solo
- Multiple staff
- Staff scheduling
- Business$79.99/month
- Everything in Team
- Multi-location
- Priority support
PostgreSQL
FreeNo published plan breakdown. See the PostgreSQL review.
Which should you pick?
Choose Booksy if
- You need online booking.
- You work on Web, Ios, Android.
- You also want calendar management.
Choose PostgreSQL if
- You need acid compliance.
- You want to start without paying.
- You work on Linux, Windows, macOS, BSD, Unix.
- You also want json/jsonb support.
Questions people ask
- Is Booksy or PostgreSQL better?
- Neither clearly leads. Booksy starts at $29.99/month and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Booksy or PostgreSQL?
- PostgreSQL has a free tier; the other does not. Paid plans start at $29.99/month for Booksy and Free for PostgreSQL.
- Does Booksy or PostgreSQL run on more platforms?
- Booksy runs on Web, Ios, Android. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
- Can I use PostgreSQL for free?
- Yes. PostgreSQL has a free tier, so you can try it without paying. Booksy starts at $29.99/month.
- What is Booksy best used for?
- Booksy is most often used for appointment booking and client management for salons and barbers, taking payments and deposits against bookings. Of those, appointment booking and client management for salons and barbers and taking payments and deposits against bookings are not what PostgreSQL is typically brought in for.
- What can Booksy do that PostgreSQL cannot?
- Booksy covers Online booking, Calendar management, Client database, Automated reminders. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility.
Answered from the vendors’ own pages
PostgreSQL: Is PostgreSQL completely free?
Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.
SourcePostgreSQL: What platforms does PostgreSQL run on?
PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.
SourcePostgreSQL: What procedural languages are supported?
PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.
SourcePostgreSQL: What is ACID compliance in PostgreSQL?
PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.
SourcePostgreSQL: Does PostgreSQL support JSON data?
Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.
SourceRelated pages
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- PostgreSQL vs Calendly
- PostgreSQL vs Cal.com
- PostgreSQL vs Motion
- PostgreSQL vs Acuity Scheduling
- PostgreSQL vs Appointlet
- PostgreSQL vs Appointy
- PostgreSQL vs Setmore
- PostgreSQL vs 10to8
- PostgreSQL vs Boulevard
- PostgreSQL vs Doodle
- PostgreSQL vs Fresha
- PostgreSQL vs GlossGenius
- PostgreSQL vs Schedulicity
- PostgreSQL vs Square Appointments
- PostgreSQL vs When2meet
- PostgreSQL vs Zenoti
- PostgreSQL vs Airbnb
- PostgreSQL vs Booker by Mindbody
- PostgreSQL vs Cockroach Labs
- PostgreSQL vs Airtable
- PostgreSQL vs Amazon Aurora
- PostgreSQL vs Elasticsearch
- PostgreSQL vs PlanetScale
- PostgreSQL vs Azure SQL
- PostgreSQL vs ClickHouse
- PostgreSQL vs Couchbase
- PostgreSQL vs DuckDB
- PostgreSQL vs DynamoDB
- PostgreSQL vs MariaDB
- PostgreSQL vs Oracle Database
- PostgreSQL vs Amazon RDS
- PostgreSQL vs Amazon Redshift
- PostgreSQL vs Apache Druid
- PostgreSQL vs Cassandra
- PostgreSQL vs CouchDB
- PostgreSQL vs Firebolt

