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Databases · head to head

TimescaleDB vs TrendMiner

TimescaleDB logo

TimescaleDB

Databases

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

From
Free
Rated
-
Full reviewWebsite
TrendMiner logo

TrendMiner

Manufacturing

Search-driven time series analytics for process engineers, now owned by Proemion rather than Software AG

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only TimescaleDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput; TrendMiner ownership moved from Software AG to Proemion in a 47 million euro sale during the Silver Lake break-up, so the integration roadmap tied to webMethods and Cumulocity is gone and the new owner is far smaller.
  • They diverge on capability: TimescaleDB covers Time-series Optimization, TrendMiner covers Pattern search.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which TimescaleDB and TrendMiner actually diverge.

Attributes where TimescaleDB and TrendMiner differ
AttributeTimescaleDBTrendMiner
Starting priceFreeOn request
Pricing modelUnknownquote
Free tierYesNo
PlatformsLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)Web, Windows, Linux
CategoryDatabasesManufacturing
Founded2012Unknown

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 TimescaleDB

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

Only in TrendMiner

  • Pattern search
  • Value-based search
  • Monitors
  • Soft sensors
  • Context items
  • Dashboards
  • Machine learning models
  • ContextHub

What people use each for

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

TimescaleDB

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

TrendMiner

  • Finding every prior occurrence of a heat exchanger fouling signature to estimate cleaning frequency from history rather than from a rule of thumbnot TimescaleDB
  • Comparing golden batches against off-spec ones in a pharmaceutical process without exporting to a data science teamnot TimescaleDB
  • Building a monitor that flags the early temperature signature that preceded the last three compressor tripsnot TimescaleDB
  • Giving a process engineer a way to answer a question in an afternoon that previously required a historian export and a spreadsheet weeknot 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

TrendMiner

  • Ownership moved from Software AG to Proemion in a 47 million euro sale during the Silver Lake break-up, so the integration roadmap tied to webMethods and Cumulocity is gone and the new owner is far smaller.
  • It is built for continuous time series and handles discrete manufacturing, relational quality data and event-driven production poorly, so plants that are not continuous process get limited value.
  • Value depends entirely on historian data quality and tag naming; sites with inconsistent tag descriptions and missing asset context spend months on data preparation before the search features are usable.
  • Licensing is by named analyst user, and the population who genuinely use pattern search is small, so organisations that buy broadly pay for seats that log in occasionally.
  • It reads history but does not fix it: there is no data collection layer, so an existing historian is mandatory and TrendMiner is always an additional cost on top of it.

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

TrendMiner

On request
  • TrendMiner$undefined/year
    • Annual subscription sized by named users and connected historian tag volume
    • Separate licence tiers for full analyst users and view-only dashboard consumers
    • Historian connectors quoted per source system

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.
TimescaleDB review

Choose TrendMiner if

  • You need pattern search.
  • You work on Web, Windows, Linux.
  • You also want value-based search.
TrendMiner review

Questions people ask

Is TimescaleDB or TrendMiner better?
Neither clearly leads. TimescaleDB starts at Free and TrendMiner at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, TimescaleDB or TrendMiner?
TimescaleDB has a free tier; the other does not. Paid plans start at Free for TimescaleDB and On request for TrendMiner.
Does TimescaleDB or TrendMiner run on more platforms?
TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure). TrendMiner runs on Web, Windows, Linux.
Can I use TimescaleDB for free?
Yes. TimescaleDB has a free tier, so you can try it without paying. TrendMiner starts at On request.
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 TrendMiner is typically brought in for.
What can TimescaleDB do that TrendMiner cannot?
TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. TrendMiner covers Pattern search, Value-based search, Monitors, Soft sensors.

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.

Source
TrendMiner: Who owns TrendMiner now?

Proemion, a German industrial analytics company backed by Battery Ventures, which bought it from Software AG for 47 million euros in 2024.

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
TrendMiner: Does it replace my historian?

No. It connects to PI, IP.21, PHD, Exaquantum and others and reads from them. The historian remains the system of record.

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
TrendMiner: Do I need a data scientist to use it?

No, and that is the point. The pattern search and soft sensor tooling are aimed at process engineers with no coding background.

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
TrendMiner: Is pricing per user?

Yes, largely, with tiers for analyst and view-only access plus charges for historian connectors and data volume.

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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