Software · head to head
ClickHouse vs Flock

ClickHouse
Software
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; Flock the Starter plan only makes the most recent 10,000 messages searchable and caps public channels at 10
- They diverge on capability: ClickHouse covers Column-oriented Storage, Flock covers Team chat.
Where they differ
Only the attributes on which ClickHouse and Flock actually diverge.
| Attribute | ClickHouse | Flock |
|---|---|---|
| Pricing model | Unknown | subscription |
| Platforms | Linux, macOS, Windows (via Docker) | Web, Windows, Macos, Ios, Android |
| Founded | 2021 | 2014 |
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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
Only in Flock
- Team chat
- Channels
- Threads
- File sharing
- Polls
- Integrations
- Mobile apps
- Slack
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Flock
- Data warehousingnot Flock
- Real-time analyticsnot Flock
- Reportingnot Flock
- Machine learningnot Flock
Flock
- Team messaging with channels, direct messages and file sharingnot ClickHouse
- Running polls, to-dos and reminders inside a chat workspacenot ClickHouse
- Video conferencing and screen sharing for small teamsnot 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
Flock
- The Starter plan only makes the most recent 10,000 messages searchable and caps public channels at 10
- Starter storage is 5 GB for the entire team, against 10 GB per member on Pro and 20 GB per member on Enterprise
- Starter allows a single team admin and a single approved domain
- Group video calls and screen sharing require the Pro plan; Starter is limited to 1-1 video calls
- Group video calls are capped at 20 participants even on Enterprise
- Single Sign-On and Active Directory sync are Enterprise only
- Enterprise is quote only, with no published rate, and is positioned for organisations with 100 or more members
- Unlimited auto-join and announcement channels require Enterprise; Starter and Pro get one of each
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Flock
Free- FreeFree
- Unlimited chats
- Channels
- File sharing
- Pro$5/month
- Everything in Free
- Advanced search
- API access
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.
Choose Flock if
- You need team chat.
- You want to start without paying.
- You work on Web, Windows, Macos, Ios, Android.
- You also want channels.
Questions people ask
- Is ClickHouse or Flock better?
- Neither clearly leads. ClickHouse starts at Free and Flock at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Flock?
- ClickHouse starts at Free and Flock at Free.
- Does ClickHouse or Flock run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Flock runs on Web, Windows, Macos, 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 Flock is typically brought in for.
- What can ClickHouse do that Flock cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Flock covers Team chat, Channels, Threads, File sharing. 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.
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.
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.
SourceRelated pages
Keep looking
Other head to heads
- ClickHouse vs Cockroach Labs
- ClickHouse vs PostgreSQL
- ClickHouse vs Airtable
- ClickHouse vs Amazon Aurora
- ClickHouse vs Elasticsearch
- ClickHouse vs PlanetScale
- ClickHouse vs Azure SQL
- ClickHouse vs Couchbase
- ClickHouse vs DuckDB
- ClickHouse vs DynamoDB
- ClickHouse vs MariaDB
- ClickHouse vs Oracle Database
- ClickHouse vs Amazon RDS
- ClickHouse vs Amazon Redshift
- ClickHouse vs Apache Druid
- ClickHouse vs Cassandra
- ClickHouse vs CouchDB
- ClickHouse vs Firebolt
- ClickHouse vs Zoom
- ClickHouse vs Microsoft Teams
- ClickHouse vs Loom
- ClickHouse vs RingCentral Video
- ClickHouse vs Slack
- ClickHouse vs Telegram
- ClickHouse vs Webex by Cisco
- ClickHouse vs Chanty
- ClickHouse vs Chatwork
- ClickHouse vs Google Chat
- ClickHouse vs Grasshopper
- ClickHouse vs Lark
- ClickHouse vs Mattermost
- ClickHouse vs Quo
- ClickHouse vs Rocket.Chat
- ClickHouse vs Signal
- ClickHouse vs TeamViewer
- ClickHouse vs Textline
- Flock vs Cockroach Labs
- Flock vs PostgreSQL
- Flock vs Airtable
- Flock vs Amazon Aurora
- Flock vs Elasticsearch
- Flock vs PlanetScale
- Flock vs Azure SQL
- Flock vs Couchbase
- Flock vs DuckDB
- Flock vs DynamoDB
- Flock vs MariaDB
- Flock vs Oracle Database
- Flock vs Amazon RDS
- Flock vs Amazon Redshift
- Flock vs Apache Druid
- Flock vs Cassandra
- Flock vs CouchDB
- Flock vs Firebolt
- Flock vs Zoom
- Flock vs Microsoft Teams
- Flock vs Loom
- Flock vs RingCentral Video
- Flock vs Slack
- Flock vs Telegram
- Flock vs Webex by Cisco
- Flock vs Chanty
- Flock vs Chatwork
- Flock vs Google Chat
- Flock vs Grasshopper
- Flock vs Lark
- Flock vs Mattermost
- Flock vs Quo
- Flock vs Rocket.Chat
- Flock vs Signal
- Flock vs TeamViewer
- Flock vs Textline

