Database & Data Management · head to head
DynamoDB vs TimescaleDB

DynamoDB
Database & Data Management
Fast, flexible NoSQL database service for any scale
- From
- On request
- Rated
- -

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.
| Attribute | DynamoDB | TimescaleDB |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | usage-based | Unknown |
| Free tier | No | Yes |
| Platforms | AWS | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Founded | 2006 | 2012 |
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 requestNo 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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceRelated pages
More on TimescaleDB
Other head to heads
- DynamoDB vs Cockroach Labs
- DynamoDB vs PostgreSQL
- DynamoDB vs Airtable
- DynamoDB vs Amazon Aurora
- DynamoDB vs Elasticsearch
- DynamoDB vs PlanetScale
- DynamoDB vs Azure SQL
- DynamoDB vs ClickHouse
- DynamoDB vs Couchbase
- DynamoDB vs DuckDB
- DynamoDB vs MariaDB
- DynamoDB vs Oracle Database
- DynamoDB vs Amazon RDS
- DynamoDB vs Amazon Redshift
- DynamoDB vs Apache Druid
- DynamoDB vs Cassandra
- DynamoDB vs CouchDB
- DynamoDB vs Firebolt
- TimescaleDB vs Cockroach Labs
- TimescaleDB vs PostgreSQL
- TimescaleDB vs Airtable
- TimescaleDB vs Amazon Aurora
- TimescaleDB vs Elasticsearch
- TimescaleDB vs PlanetScale
- TimescaleDB vs Azure SQL
- TimescaleDB vs ClickHouse
- TimescaleDB vs Couchbase
- TimescaleDB vs DuckDB
- TimescaleDB vs MariaDB
- TimescaleDB vs Oracle Database
- TimescaleDB vs Amazon RDS
- TimescaleDB vs Amazon Redshift
- TimescaleDB vs Apache Druid
- TimescaleDB vs Cassandra
- TimescaleDB vs CouchDB
- TimescaleDB vs Firebolt
