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Database & Data Management · head to head

TimescaleDB vs Amazon Aurora

TimescaleDB logo

TimescaleDB

Database & Data Management

Time-series database built on PostgreSQL for real-time analytics

From
Free
Rated
-
Full reviewWebsite
Amazon Aurora logo

Amazon Aurora

Database & Data Management

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
  • They diverge on capability: TimescaleDB covers Time-series Optimization, Amazon Aurora covers MySQL/PostgreSQL Compatible.

Where they differ

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

Attributes where TimescaleDB and Amazon Aurora differ
AttributeTimescaleDBAmazon Aurora
Pricing modelUnknownusage-based
PlatformsLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)AWS Cloud
Founded20122006

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).

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 TimescaleDB

  • Time-series Optimization
  • PostgreSQL Extension
  • Automatic Partitioning
  • Continuous Aggregates
  • Native Compression
  • Full SQL Support
  • Real-time Analytics
  • PostgreSQL

Only in Amazon Aurora

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

Both cover

  • Web support

What people use each for

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

TimescaleDB

  • Monitoringnot Amazon Aurora
  • IoT datanot Amazon Aurora
  • Financial datanot Amazon Aurora
  • Log analyticsnot Amazon Aurora
  • Observabilitynot Amazon Aurora

Amazon Aurora

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

Where each one falls short

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

TimescaleDB

  • Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
  • Bloom filter indexes on compressed columns can return incorrect query results before upgrade
  • PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later

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

Pricing, plan by plan

TimescaleDB

Free
  • Open SourceFree
    • Self-hosted TimescaleDB
    • MIT-licensed core
    • Full PostgreSQL compatibility
  • Scale Plan (Cloud)$36/month
    • Compute and storage charges
    • Multi-node HA
    • Unlimited VPCs

Amazon Aurora

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

Which should you pick?

Choose TimescaleDB if

  • You need time-series optimization.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
  • You also want postgresql extension.
TimescaleDB review

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.
Amazon Aurora review

Questions people ask

Is TimescaleDB or Amazon Aurora better?
Neither clearly leads. TimescaleDB starts at Free and Amazon Aurora at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, TimescaleDB or Amazon Aurora?
TimescaleDB starts at Free and Amazon Aurora at Free.
Does TimescaleDB or Amazon Aurora run on more platforms?
TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure). Amazon Aurora runs on AWS Cloud.
Can I use TimescaleDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is TimescaleDB best used for?
TimescaleDB is most often used for monitoring, iot data, financial data, log analytics. Of those, monitoring and iot data are not what Amazon Aurora is typically brought in for.
What can TimescaleDB do that Amazon Aurora cannot?
TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Both handle Web support.

Answered from the vendors’ own pages

TimescaleDB: Is TimescaleDB free?

Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.

Source
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
TimescaleDB: What database does TimescaleDB run on top of?

TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem 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
TimescaleDB: How much can TimescaleDB compress data?

TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.

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
TimescaleDB: Does TimescaleDB require manual partitioning?

No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.

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
TimescaleDB: What PostgreSQL versions does TimescaleDB support?

As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.

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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