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BigQuery vs TimescaleDB

BigQuery logo

BigQuery

Software

Serverless, highly scalable enterprise data warehouse

From
Free
Rated
-
Full reviewWebsite
TimescaleDB logo

TimescaleDB

Software

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BigQuery query costs can become substantial for organizations with high query volumes; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: BigQuery covers Serverless Architecture, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which BigQuery and TimescaleDB actually diverge.

Attributes where BigQuery and TimescaleDB differ
AttributeBigQueryTimescaleDB
Pricing modelusage-basedUnknown
PlatformsWeb, Cloud APILinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20082012

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 BigQuery

  • Serverless Architecture
  • Petabyte Scale
  • Machine Learning
  • Geospatial Analysis
  • Streaming Ingestion
  • Standard SQL
  • Looker
  • Data Studio

Only in TimescaleDB

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

Both cover

  • Real-time Analytics
  • Web support

What people use each for

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

BigQuery

  • Business intelligencenot TimescaleDB
  • Data warehousingnot TimescaleDB
  • Real-time analyticsnot TimescaleDB
  • Reportingnot TimescaleDB
  • Machine learningnot TimescaleDB

TimescaleDB

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

Where each one falls short

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

BigQuery

  • Query costs can become substantial for organizations with high query volumes
  • Data egress from Google Cloud incurs additional charges

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

BigQuery

Free
  • Free TierFree
    • 1TB queries/month
    • 10GB storage/month
    • Standard support
  • On-demand$6.25/TB
    • Pay per query
    • Pay per storage
    • All features

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 BigQuery if

  • You need serverless architecture.
  • You want to start without paying.
  • You work on Web, Cloud API.
  • You also want petabyte scale.
BigQuery review

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

Questions people ask

Is BigQuery or TimescaleDB better?
Neither clearly leads. BigQuery 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, BigQuery or TimescaleDB?
BigQuery starts at Free and TimescaleDB at Free.
Does BigQuery or TimescaleDB run on more platforms?
BigQuery runs on Web, Cloud API. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use BigQuery for free?
Both have a free tier, so you can try either at no cost before committing.
What is BigQuery best used for?
BigQuery is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what TimescaleDB is typically brought in for.
What can BigQuery do that TimescaleDB cannot?
BigQuery covers Serverless Architecture, Petabyte Scale, Machine Learning, Geospatial Analysis. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Real-time Analytics, Web support.

Answered from the vendors’ own pages

BigQuery: How is BigQuery priced?

BigQuery charges $5 per terabyte of data processed in on-demand queries. Storage is billed separately: active storage is charged per GB, and data inactive for 90+ days moves to long-term storage at reduced rates.

Source
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
BigQuery: What is BigQuery's architecture?

BigQuery separates compute and storage, using Google's Colossus for distributed storage and Borg for computation, allowing independent scaling of each.

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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