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Database & Data Management · head to head

DynamoDB vs TimescaleDB

DynamoDB logo

DynamoDB

Database & Data Management

Fast, flexible NoSQL database service for any scale

From
On request
Rated
-
TimescaleDB logo

TimescaleDB

Database & Data Management

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

From
Free
Rated
-

The short version

  • Only TimescaleDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which DynamoDB and TimescaleDB actually diverge.

Attributes where DynamoDB and TimescaleDB differ
AttributeDynamoDBTimescaleDB
Starting priceOn requestFree
Pricing modelusage-basedUnknown
Free tierNoYes
PlatformsAWSLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20062012

Identical on both: 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 DynamoDB

  • Single-digit Millisecond Latency
  • Serverless
  • Auto-scaling
  • Global Tables
  • Point-in-time Recovery
  • Encryption
  • Streams
  • Lambda

Only in TimescaleDB

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

Both cover

  • Web support

What people use each for

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

DynamoDB

  • High-scale, variable-workload applicationsnot TimescaleDB
  • Mobile and IoT device backendsnot TimescaleDB
  • Real-time analytics and dashboardsnot TimescaleDB
  • Multi-region, globally distributed applicationsnot TimescaleDB

TimescaleDB

  • Monitoringnot DynamoDB
  • IoT datanot DynamoDB
  • Financial datanot DynamoDB
  • Log analyticsnot DynamoDB
  • Observabilitynot DynamoDB

Where each one falls short

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

DynamoDB

  • NoSQL-only; does not support complex relational queries or SQL joins
  • Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries

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

Pricing, plan by plan

DynamoDB

On request

No published plan breakdown. See the DynamoDB review.

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

Which should you pick?

Choose DynamoDB if

  • You need single-digit millisecond latency.
  • You work on AWS.
  • You also want serverless.

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.

Questions people ask

Is DynamoDB or TimescaleDB better?
Neither clearly leads. DynamoDB starts at On request and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or TimescaleDB?
TimescaleDB has a free tier; the other does not. Paid plans start at On request for DynamoDB and Free for TimescaleDB.
Does DynamoDB or TimescaleDB run on more platforms?
DynamoDB runs on AWS. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use TimescaleDB for free?
Yes. TimescaleDB has a free tier, so you can try it without paying. DynamoDB starts at On request.
What is DynamoDB best used for?
DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what TimescaleDB is typically brought in for.
What can DynamoDB do that TimescaleDB cannot?
DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. 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
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
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
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
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

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