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Spreadsheets · head to head

Looker vs TimescaleDB

Looker logo

Looker

Spreadsheets

Modern business intelligence platform by Google

From
On request
Rated
-
Full reviewWebsite
TimescaleDB logo

TimescaleDB

Databases

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only TimescaleDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: Looker no pricing published on website; quote-based model requires contacting Google Cloud sales; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: Looker covers LookML Data Modeling, TimescaleDB covers Time-series Optimization.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Looker and TimescaleDB actually diverge.

Attributes where Looker and TimescaleDB differ
AttributeLookerTimescaleDB
Starting priceOn requestFree
Free tierNoYes
PlatformsWeb, Cloud (Google Cloud Platform)Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
CategorySpreadsheetsDatabases
Founded20082012

Identical on both: pricing model (Unknown), user rating (Not yet rated).

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 Looker

  • LookML Data Modeling
  • Embedded Analytics
  • API Access
  • Version Control
  • Data Actions
  • BigQuery
  • Snowflake
  • Redshift

Only in TimescaleDB

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

Both cover

  • PostgreSQL
  • Web support

What people use each for

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

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot TimescaleDB
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot TimescaleDB

TimescaleDB

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

Where each one falls short

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

Looker

  • No pricing published on website; quote-based model requires contacting Google Cloud sales
  • Pricing typically based on user count, deployment type, and feature requirements with no transparency

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

Looker

On request

No published plan breakdown. See the Looker 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 Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want embedded analytics.
Looker 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 Looker or TimescaleDB better?
Neither clearly leads. Looker 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, Looker or TimescaleDB?
TimescaleDB has a free tier; the other does not. Paid plans start at On request for Looker and Free for TimescaleDB.
Does Looker or TimescaleDB run on more platforms?
Looker runs on Web, Cloud (Google Cloud Platform). 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. Looker starts at On request.
What is Looker best used for?
Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what TimescaleDB is typically brought in for.
What can Looker do that TimescaleDB cannot?
Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle PostgreSQL, Web support.

Answered from the vendors’ own pages

Looker: How much does Looker cost?

Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.

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
Looker: What are Looker's pricing tiers?

Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.

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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