Software · head to head
TimescaleDB vs Amazon Redshift

TimescaleDB
Software
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput; Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
- They diverge on capability: TimescaleDB covers Time-series Optimization, Amazon Redshift covers Columnar Storage.
Where they differ
Only the attributes on which TimescaleDB and Amazon Redshift actually diverge.
| Attribute | TimescaleDB | Amazon Redshift |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) | Web |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown), founded (2012).
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 Redshift
- Columnar Storage
- Massively Parallel
- Machine Learning
- AQUA Acceleration
- Data Sharing
- Federated Query
- Concurrency Scaling
- S3
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
TimescaleDB
- Monitoringnot Amazon Redshift
- IoT datanot Amazon Redshift
- Financial datanot Amazon Redshift
- Log analyticsnot Amazon Redshift
- Observabilitynot Amazon Redshift
Amazon Redshift
- Business intelligencenot TimescaleDB
- Data warehousingnot TimescaleDB
- Real-time analyticsnot TimescaleDB
- Reportingnot TimescaleDB
- Machine learningnot 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 Redshift
- On-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
- Requires significant manual tuning including managing concurrency scaling costs and configuring Workload Management queues
- Performance degrades without proper design of distribution keys and sort keys
- Limited elastic resize options - can only halve or double current cluster size
- AWS lock-in makes it unsuitable for multi-cloud architectures
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 Redshift
Free- Free TrialFree
- 750 DC2.Large hours
- 2 months free
- Full features
- On-Demand$0.25/hour
- Pay per node hour
- All features
- Standard support
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.
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Questions people ask
- Is TimescaleDB or Amazon Redshift better?
- Neither clearly leads. TimescaleDB starts at Free and Amazon Redshift at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, TimescaleDB or Amazon Redshift?
- TimescaleDB starts at Free and Amazon Redshift at Free.
- Does TimescaleDB or Amazon Redshift run on more platforms?
- TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure). Amazon Redshift runs on Web.
- 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 Redshift is typically brought in for.
- What can TimescaleDB do that Amazon Redshift cannot?
- TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. 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.
SourceAmazon Redshift: What deployment options does Amazon Redshift offer?
Redshift offers Provisioned Cluster (with RA3 or DC2 nodes) and Serverless options to match varying workloads. The new Redshift RG instance family, powered by Graviton, delivers 2.4x faster performance than RA3 at 30% lower cost per vCPU.
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.
SourceAmazon Redshift: What does Amazon Redshift cost?
Provisioned cluster pricing: RA3 on-demand starts at $1.086/hour for ra3.xlplus. Serverless costs approximately $0.375 per RPU-hour with 4-RPU minimum (roughly $1.50/hour active workload). Managed storage costs $0.024/GB-month.
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.
SourceAmazon Redshift: Does Redshift work with data lakes?
Yes, Redshift's integrated data lake query engine processes workloads on Apache Iceberg tables and other supported formats in Amazon S3, allowing you to run SQL analytics across your data warehouse and data lake from the same engine.
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.
SourceAmazon Redshift: Is there a free tier for Amazon Redshift?
AWS offers a free trial with $300 USD in Serverless credits valid for 90 days, but Redshift is not part of the permanent AWS Free Tier.
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
More on Amazon Redshift
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