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Manufacturing · head to head

Seeq vs TimescaleDB

Seeq logo

Seeq

Manufacturing

Self-service analytics for process manufacturing time-series data sitting on top of existing historians

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: Seeq named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: Seeq covers Query in place, TimescaleDB covers Time-series Optimization.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Seeq and TimescaleDB actually diverge.

Attributes where Seeq and TimescaleDB differ
AttributeSeeqTimescaleDB
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWeb, Cloud, On-premise, Windows, LinuxLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
CategoryManufacturingDatabases
FoundedUnknown2012

Identical on both: 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 Seeq

  • Query in place
  • Capsules
  • Asset trees
  • Seeq Data Lab
  • Organizer
  • Multi-source joins

Only in TimescaleDB

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

What people use each for

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

Seeq

  • A pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheetsnot TimescaleDB
  • A reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of historynot TimescaleDB
  • Refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each weeknot TimescaleDB
  • A site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipelinenot TimescaleDB

TimescaleDB

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

Where each one falls short

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

Seeq

  • Named-user pricing suits a small core team but scales badly: a site wanting a hundred engineers with occasional access pays for a hundred licences that mostly sit idle, which is why deployments often stay artificially narrow.
  • Seeq inherits whatever quality exists in the historian, so plants with unstructured tag names and no asset model spend real effort building asset trees in Seeq that should have been fixed upstream.
  • Certain historian connectors are charged separately, so the licence quote and the actual cost of connecting your specific data sources are two different numbers.
  • It is analysis, not control or action; findings still have to be carried into a CMMS or a control change by hand, so value depends on a workflow Seeq does not provide.
  • The product assumes competent process engineers. Organisations without that skill in-house get little from it, because Seeq deliberately does not ship prebuilt failure models the way condition monitoring vendors do.

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

Seeq

On request
  • Seeq$undefined/year
    • Licensed per named user, not per tag
    • Separate charges for certain historian connectors
    • Cloud-hosted and self-hosted deployments quoted differently

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 Seeq if

  • You need query in place.
  • You work on Web, Cloud, On-premise, Windows, Linux.
  • You also want capsules.
Seeq 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 Seeq or TimescaleDB better?
Neither clearly leads. Seeq 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, Seeq or TimescaleDB?
TimescaleDB has a free tier; the other does not. Paid plans start at On request for Seeq and Free for TimescaleDB.
Does Seeq or TimescaleDB run on more platforms?
Seeq runs on Web, Cloud, On-premise, Windows, Linux. 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. Seeq starts at On request.
What is Seeq best used for?
Seeq is most often used for a pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheets, a reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of history, refinery process engineers building a recurring shift report that pulls live values rather than being rebuilt by hand each week, a site whose data lake project has stalled and that needs engineers analysing plant history now, without waiting for an ingestion pipeline. Of those, a pharmaceutical plant comparing hundreds of batches against a golden batch profile without exporting historian data into spreadsheets and a reliability engineer investigating why a compressor trips, needing to overlay vibration, process and maintenance data across two years of history are not what TimescaleDB is typically brought in for.
What can Seeq do that TimescaleDB cannot?
Seeq covers Query in place, Capsules, Asset trees, Seeq Data Lab. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates.

Answered from the vendors’ own pages

Seeq: Does Seeq store my data?

No. It queries connected historians and databases in place. Removing Seeq leaves your data exactly where it was.

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
Seeq: Who owns Seeq?

It is an independent private company in Seattle, most recently funded by a 2024 growth round led by Sixth Street. It has not been taken over by a private equity buyer.

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
Seeq: How is it licensed?

Per named user, with some historian connectors charged separately. Nothing is published; every number comes from a quote.

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
Seeq: Do I need a data scientist?

No, and that is the point. Workbench is aimed at process engineers. Data Lab exists for the minority who want Python.

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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