Compare the Top Anomaly Detection Software that integrates with MariaDB as of August 2025

This a list of Anomaly Detection software that integrates with MariaDB. Use the filters on the left to add additional filters for products that have integrations with MariaDB. View the products that work with MariaDB in the table below.

What is Anomaly Detection Software for MariaDB?

Anomaly detection software identifies unusual patterns, behaviors, or outliers in datasets that deviate from expected norms. It uses statistical, machine learning, and AI techniques to automatically detect anomalies in real time or through batch analysis. This software is widely used in cybersecurity, fraud detection, predictive maintenance, and quality control. By flagging anomalies, it enables early intervention, reduces risks, and enhances operational efficiency. Advanced versions offer customizable thresholds, real-time alerts, and integration with analytics dashboards for deeper insights. Compare and read user reviews of the best Anomaly Detection software for MariaDB currently available using the table below. This list is updated regularly.

  • 1
    Netdata

    Netdata

    Netdata, Inc.

    The open-source observability platform everyone needs! Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: ๐Ÿ’ฅ Collects metrics from 800+ integrations ๐Ÿ’ช Real-Time, Low-Latency, High-Resolution ๐Ÿ˜ถโ€๐ŸŒซ๏ธ Unsupervised Anomaly Detection ๐Ÿ”ฅ Powerful Visualization ๐Ÿ”” Out of box Alerts ๐Ÿ“– systemd Journal Logs Explorer ๐Ÿ˜Ž Low Maintenance โญ Open and Extensible Try Netdata today and feel the pulse of your infrastructure, with high-resolution metrics, journal logs and real-time visualizations.
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    Starting Price: Free
  • 2
    Acryl Data

    Acryl Data

    Acryl Data

    No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes.
  • 3
    Digna

    Digna

    Digna

    Digna is an AI-powered anomaly detection solution designed to meet the challenges of modern data quality management. It's domain agnostic, meaning it seamlessly adapts to various sectors, from finance to healthcare. Digna prioritizes data privacy, ensuring compliance with stringent data regulations. Moreover, it's built to scale, growing alongside your data infrastructure. With the flexibility to choose cloud-based or on-premises installation, Digna aligns with your organizational needs and security policies. In conclusion, Digna stands at the forefront of modern data quality solutions. Its user-friendly interface, combined with powerful AI-driven analytics, makes it an ideal choice for businesses seeking to improve their data quality. With its seamless integration, real-time monitoring, and adaptability, Digna is not just a tool; itโ€™s a partner in your journey towards impeccable data quality.
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