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Amazon Aurora vs Telegram

Amazon Aurora logo

Amazon Aurora

Software

MySQL and PostgreSQL-compatible relational database built for the cloud

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: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; 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: Amazon Aurora covers MySQL/PostgreSQL Compatible, Telegram covers Cloud-based messaging.

Where they differ

Only the attributes on which Amazon Aurora and Telegram actually diverge.

Attributes where Amazon Aurora and Telegram differ
AttributeAmazon AuroraTelegram
Pricing modelusage-basedfreemium
PlatformsAWS CloudWeb, Windows, Macos, Linux, Ios, Android
Founded20062013

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 Amazon Aurora

  • MySQL/PostgreSQL Compatible
  • 5x MySQL Performance
  • Auto-scaling Storage
  • Global Database
  • Serverless v2
  • Multi-master
  • Fault Tolerant
  • AWS Lambda

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.

Amazon Aurora

  • Transaction processingnot Telegram
  • Data storagenot Telegram
  • Application backendnot Telegram
  • Reportingnot Telegram
  • Data analyticsnot Telegram

Telegram

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amazon Aurora

  • Aurora requires AWS ecosystem knowledge and integration with other AWS services
  • Pricing can become expensive with high-traffic applications using many read replicas
  • Limited support for non-relational data types compared to NoSQL alternatives

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

Amazon Aurora

Free
  • Serverless v2$0.12/hour
    • Auto-scaling
    • Pay per ACU
    • Instant scaling
  • Provisioned$29/month
    • Dedicated instances
    • Predictable performance
    • Reserved capacity

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 Amazon Aurora if

  • You need mysql/postgresql compatible.
  • You want to start without paying.
  • You work on AWS Cloud.
  • You also want 5x mysql performance.

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 Amazon Aurora or Telegram better?
Neither clearly leads. Amazon Aurora 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, Amazon Aurora or Telegram?
Amazon Aurora starts at Free and Telegram at Free.
Does Amazon Aurora or Telegram run on more platforms?
Amazon Aurora runs on AWS Cloud. Telegram runs on Web, Windows, Macos, Linux, Ios, Android.
Can I use Amazon Aurora for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amazon Aurora best used for?
Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Telegram is typically brought in for.
What can Amazon Aurora do that Telegram cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. 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

Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?

Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.

Source
Amazon Aurora: What uptime SLA does Amazon Aurora provide?

Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.

Source
Amazon Aurora: How much does Amazon Aurora cost?

Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.

Source
Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

Source
Amazon Aurora: How many read replicas does Aurora support?

Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.

Source

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