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Head-to-head · Time Series Intelligence Software

TrendMiner vs DataRobot

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
TrendMiner #2 in Time Series Intelligence Software —/10 Pricing on request ✓ 1 of 4 features Visit TrendMiner
DataRobot #3 in Time Series Intelligence Software —/10 Pricing on request · 30-day trial ✓ 0 of 4 features Visit DataRobot

TrendMiner leads on 1 check, DataRobot on 0, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Most featuresTrendMiner · 1 of 4

Our editors rank TrendMiner at #2 and DataRobot at #3 for time series intelligence software; TrendMiner and DataRobot have no rubric score yet (facts researched, not yet scored), so the checks below decide.

TrendMiner offers anomaly detection; DataRobot doesn't publish it.

TrendMiner is the better fit for industrial teams exploring and monitoring time series. DataRobot is the better fit for teams building and deploying forecast models.

  • TrendMiner fits best

    Industrial teams exploring and monitoring time series

  • DataRobot fits best

    Teams building and deploying forecast models

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes our verdict. How we rank.

Side by side

Feature TrendMiner —/10 Visit ↗ DataRobot —/10 Visit ↗
At a glance
Editor score — —
Ranking #2 in Time Series Intelligence Software #3 in Time Series Intelligence Software
Best for Industrial teams exploring and monitoring time series Teams building and deploying forecast models
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web, Linux Web
Support Email, Phone, Docs Email, Tickets, Community, Docs
Integrations 11 integrations 4 integrations
Built for Mid-market, Enterprise Enterprise
Features TrendMiner 1/4 · DataRobot 0/4
Anomaly detection ✓ (best) Not published
Change-point detection Not published Not published
Model monitoring Not published Not published
Forecast intervals Not published Not published
Specs
Forecasting methods Not published Not published
Forecast horizon Not published Not published
Deployment Not published Not published
Our review
Pros
  • Search patterns, compare trends, and analyze correlations and fingerprints.
  • Connect time-series data with event, asset, and contextual data.
  • Monitor processes and apply anomaly detection and machine-learning models.
  • Time-series and multiseries forecasting with automated model selection
  • Backtesting, leaderboards, accuracy metrics, and model insights
  • Real-time and batch deployment with monitoring and governance
Cons
  • Pricing requires contacting sales rather than choosing a self-service plan.
  • Its focus on industrial operational data may not suit general-purpose analytics.
  • Deployment and integration options may require specialist implementation.
  • Paid pricing requires a contact with sales
  • The 30-day trial provides batch-prediction access
  • Broad automated ML scope may exceed forecasting-only needs
Our verdict

TrendMiner is an industrial analytics platform for operational specialists in process manufacturing and other industrial environments. It brings time-series exploration, pattern searches, correlations, contextualization, monitoring, and…

Read the review →

DataRobot is an enterprise AI platform for developing, delivering, and governing predictive, generative, and agentic AI solutions. For time-series work, it supports forecasting and multiseries modeling alongside automated machine learning,…

Read the review →
  1. TrendMinerTime Series Intelligence Software —Pricing on request
  2. DataRobotTime Series Intelligence Software —Pricing on request · 30-day trial

Strengths and trade-offs

  • TrendMiner — where it wins

    • Search patterns, compare trends, and analyze correlations and fingerprints.
    • Connect time-series data with event, asset, and contextual data.
    • Monitor processes and apply anomaly detection and machine-learning models.

    Where it doesn't

    • Pricing requires contacting sales rather than choosing a self-service plan.
    • Its focus on industrial operational data may not suit general-purpose analytics.
    • Deployment and integration options may require specialist implementation.
  • DataRobot — where it wins

    • Time-series and multiseries forecasting with automated model selection
    • Backtesting, leaderboards, accuracy metrics, and model insights
    • Real-time and batch deployment with monitoring and governance

    Where it doesn't

    • Paid pricing requires a contact with sales
    • The 30-day trial provides batch-prediction access
    • Broad automated ML scope may exceed forecasting-only needs
  • TrendMiner—/10 · Pricing on request

    Industrial teams get focused tools for exploring, contextualizing, and monitoring time series.

    Visit TrendMinerFull verdict →
  • DataRobot—/10 · Pricing on request · 30-day trial

    A broad enterprise AI platform with serious forecasting, deployment, and governance depth.

    Visit DataRobotFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026