Best Time Series Intelligence Software - Page 4

How Many Time Series Intelligence Software Products Does G2 Track?

Total Products under this Category: 47

Category Stats (Sep 2026)

  • Average Rating: 4.48/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Automatic Forecasting Systems (+0.94%) - Among all products in this category, Automatic Forecasting Systems recorded the largest rating increase compared to last month

Last updated: September 10, 2026

How Does G2 Rank Time Series Intelligence Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,200+ Authentic Reviews
  • 47+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Time Series Intelligence Software

G2 Grid® for Time Series Intelligence Software plotting products by satisfaction and market presence

Highlighted products: Nixtla, Seeq, Amazon Forecast, TrendMiner, SAP HANA Cloud, Minitab Statistical Software, Google Cloud Interference API, and InfluxDB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/time-series-intelligence/grids.json?focus%5B%5D=nixtla&focus%5B%5D=seeq&focus%5B%5D=amazon-forecast&focus%5B%5D=trendminer&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=minitab-statistical-software&focus%5B%5D=google-cloud-interference-api&focus%5B%5D=influxdata-influxdb)

VictoriaMetrics Anomaly Detection

VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.

Who Is the Company Behind VictoriaMetrics Anomaly Detection?

  • Seller: VictoriaMetrics
  • Year Founded: 2018
  • HQ Location: San Francisco, US
  • Twitter: @VictoriaMetrics
    2,785 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    42 employees on LinkedIn®
Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 3, 2024