Softwr

Software · head to head

ClickHouse vs Telegram

ClickHouse logo

ClickHouse

Software

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

From
Free
Rated
-
Telegram logo

Telegram

Software

Pure instant messaging — simple, fast, secure, and synced across all your devices

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; Telegram end-to-end encryption applies only to Secret Chats; private and group Cloud Chats use server-client encryption, so Telegram holds the data
  • They diverge on capability: ClickHouse covers Column-oriented Storage, Telegram covers Cloud-based messaging.

Where they differ

Only the attributes on which ClickHouse and Telegram actually diverge.

Attributes where ClickHouse and Telegram differ
AttributeClickHouseTelegram
Pricing modelUnknownfreemium
PlatformsLinux, macOS, Windows (via Docker)Web, Windows, Macos, Linux, Ios, Android
Founded20212013

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 Telegram

  • Cloud-based messaging
  • End-to-end encryption
  • Self-destructing messages
  • Large group chats
  • Voice and video calls
  • Bot platform
  • Channels and broadcasts
  • Cross-platform sync

Both cover

  • Web support

What people use each for

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

ClickHouse

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

Telegram

  • Group messaging and large channels with files of any type and sizenot ClickHouse
  • Private device-bound conversations with self-destructing messagesnot ClickHouse
  • Running bots and broadcast channels for an audiencenot 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

Telegram

  • End-to-end encryption applies only to Secret Chats; private and group Cloud Chats use server-client encryption, so Telegram holds the data
  • Secret Chats are device-specific and are not part of the Telegram cloud, so they can only be read on the device they started on
  • Logging out destroys all of your Secret Chats
  • The Secret Chat self-destruct timer applies only to messages sent after the timer is set and has no effect on earlier messages
  • Telegram states screenshot detection cannot be guaranteed on some Android and Windows Phone devices, so screenshots of Secret Chats can be taken silently
  • Messages cannot be forwarded out of Secret Chats
  • The self-destruct timer in cloud chats covers media only, not text

Pricing, plan by plan

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Telegram

Free
  • FreeFree
    • Unlimited messages
    • 2GB file sharing
    • Group chats up to 200K members
  • Telegram Premium$4.99/month
    • Everything in Free
    • 4GB file uploads
    • Faster downloads

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 Telegram if

  • You need cloud-based messaging.
  • You want to start without paying.
  • You work on Web, Windows, Macos, Linux, Ios, Android.
  • You also want end-to-end encryption.

Questions people ask

Is ClickHouse or Telegram better?
Neither clearly leads. ClickHouse starts at Free and Telegram at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClickHouse or Telegram?
ClickHouse starts at Free and Telegram at Free.
Does ClickHouse or Telegram run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Telegram runs on Web, Windows, Macos, Linux, 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 Telegram is typically brought in for.
What can ClickHouse do that Telegram cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Telegram covers Cloud-based messaging, End-to-end encryption, Self-destructing messages, Large group chats. 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

Related pages

Other head to heads