Software · head to head
Airbrake vs TimescaleDB

TimescaleDB
Software
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Airbrake data retention is 30 days on every plan, including the $799 a month Business tier; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: Airbrake covers Error tracking, TimescaleDB covers Time-series Optimization.
Where they differ
Only the attributes on which Airbrake and TimescaleDB actually diverge.
| Attribute | Airbrake | TimescaleDB |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web, Api | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Founded | 2008 | 2012 |
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 Airbrake
- Error tracking
- Performance monitoring
- Deploy tracking
- Custom notifications
- API
- Webhooks
- REST
- Api support
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.
Airbrake
- Error and exception monitoring for web applicationsnot TimescaleDB
- Performance monitoring alongside error trackingnot TimescaleDB
- Alerting a team when a deploy introduces a spike in errorsnot TimescaleDB
- Tracking errors across multiple projects in one accountnot TimescaleDB
TimescaleDB
- Monitoringnot Airbrake
- IoT datanot Airbrake
- Financial datanot Airbrake
- Log analyticsnot Airbrake
- Observabilitynot Airbrake
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Airbrake
- Data retention is 30 days on every plan, including the $799 a month Business tier
- The entry plan at $19 a month covers 25,000 errors and 7,500 events
- Errors beyond the plan quota are billed on demand
- Audit logs and spike forgiveness require the Pro tier
- The lowest tier is limited to 1 user and 1 team
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
Airbrake
Free- FreeFree
- Error tracking
- Performance monitoring
- Deploy tracking
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 Airbrake if
- You need error tracking.
- You want to start without paying.
- You work on Web, Api.
- You also want performance monitoring.
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 Airbrake or TimescaleDB better?
- Neither clearly leads. Airbrake starts at Free and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Airbrake or TimescaleDB?
- Airbrake starts at Free and TimescaleDB at Free.
- Does Airbrake or TimescaleDB run on more platforms?
- Airbrake runs on Web, Api. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- Can I use Airbrake for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Airbrake best used for?
- Airbrake is most often used for error and exception monitoring for web applications, performance monitoring alongside error tracking, alerting a team when a deploy introduces a spike in errors, tracking errors across multiple projects in one account. Of those, error and exception monitoring for web applications and performance monitoring alongside error tracking are not what TimescaleDB is typically brought in for.
- What can Airbrake do that TimescaleDB cannot?
- Airbrake covers Error tracking, Performance monitoring, Deploy tracking, Custom notifications. 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
Keep looking
Other head to heads
- Airbrake vs Elastic Stack
- Airbrake vs New Relic
- Airbrake vs Datadog Logs
- Airbrake vs Coralogix
- Airbrake vs Grafana Loki
- Airbrake vs CloudWatch
- Airbrake vs Dynatrace
- Airbrake vs InfluxDB
- Airbrake vs AppDynamics
- Airbrake vs Axiom
- Airbrake vs Azure Monitor
- Airbrake vs Better Stack
- Airbrake vs Bugsnag
- Airbrake vs Dynatrace Logs
- Airbrake vs Elastic
- Airbrake vs Elastic APM
- Airbrake vs Elasticsearch Service
- Airbrake vs ELK Stack
- Airbrake vs Cockroach Labs
- Airbrake vs PostgreSQL
- Airbrake vs Airtable
- Airbrake vs Amazon Aurora
- Airbrake vs Elasticsearch
- Airbrake vs PlanetScale
- Airbrake vs Azure SQL
- Airbrake vs ClickHouse
- Airbrake vs Couchbase
- Airbrake vs DuckDB
- Airbrake vs DynamoDB
- Airbrake vs MariaDB
- Airbrake vs Oracle Database
- Airbrake vs Amazon RDS
- Airbrake vs Amazon Redshift
- Airbrake vs Apache Druid
- Airbrake vs Cassandra
- Airbrake vs CouchDB
- TimescaleDB vs Elastic Stack
- TimescaleDB vs New Relic
- TimescaleDB vs Datadog Logs
- TimescaleDB vs Coralogix
- TimescaleDB vs Grafana Loki
- TimescaleDB vs CloudWatch
- TimescaleDB vs Dynatrace
- TimescaleDB vs InfluxDB
- TimescaleDB vs AppDynamics
- TimescaleDB vs Axiom
- TimescaleDB vs Azure Monitor
- TimescaleDB vs Better Stack
- TimescaleDB vs Bugsnag
- TimescaleDB vs Dynatrace Logs
- TimescaleDB vs Elastic
- TimescaleDB vs Elastic APM
- TimescaleDB vs Elasticsearch Service
- TimescaleDB vs ELK Stack
- 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 DynamoDB
- 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

