Compare the Top Anomaly Detection Software with a Free Trial as of July 2025

What is Anomaly Detection Software with a Free Trial?

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 with a Free Trial currently available using the table below. This list is updated regularly.

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    Malwarebytes

    Malwarebytes

    Malwarebytes

    Crushes cyberthreats. Restores confidence. Traditional antivirus simply doesn't cut it anymore. Malwarebytes crushes the latest threats before others even recognize they exist. We block viruses, malware, malicious websites, ransomware, and hackers that traditional antivirus isn't smart enough to stop. Our cutting-edge protection and response solutions are used by organizations of all sizes around the world. Traditional antivirus fails because it’s slow to react to new threats. And, well, because it’s “dumb.” We use layers of technology like anomaly detection (a cool sort of artificial intelligence), behavior matching, and application hardening to crush malware that hasn’t even been seen before. Alright, so not really like traditional antivirus. Premium protection and privacy for your home computers and devices. Enterprise-grade protection and remediation for organizations large and small.
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    Starting Price: $47.22 per user per year
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    cloudNito

    cloudNito

    cloudNito

    cloudNito is an innovative AI-powered SaaS platform designed to help businesses of all sizes optimize their AWS cloud costs. Our solution combines real-time monitoring, advanced anomaly detection, and automated cost-saving actions to eliminate wasteful spending and improve cloud efficiency. Key features include: AI-driven cost anomaly detection Automated resource scaling and optimization Detailed cost allocation and reporting Predictive cost forecasting Customizable alerts and thresholds With cloudNito, companies can save their AWS bills, ensuring maximum value from their cloud investment.
    Starting Price: $99/Month
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    Dataiku

    Dataiku

    Dataiku

    Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries.
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    Syft Analytics
    From simple reports through to integrated forecasts and consolidations, thousands of organizations use Syft to make better business decisions with their financial data. Try today, no credit card required. Bring insights to life with visualizations, beautiful reports and forecasts that actually work. Spend less time reviewing and reconciling data with always-on anomaly detection and health scores. Stay on the pulse of your performance with real-time oversight across every business and consolidation. Real-time integrations with your favorite accounting and e-commerce tools so you can focus on analysis and output. Secure-by-design infrastructure and built-in protection on a global network to protect your information. Ramp up quickly with hands-on learning with live instructors and migration assistance if you're using other tools.
    Starting Price: $19 per month
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    Edge Delta

    Edge Delta

    Edge Delta

    Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.
    Starting Price: $0.20 per GB
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    Zilliz Cloud
    Zilliz Cloud is a fully managed vector database based on the popular open-source Milvus. Zilliz Cloud helps to unlock high-performance similarity searches with no previous experience or extra effort needed for infrastructure management. It is ultra-fast and enables 10x faster vector retrieval, a feat unparalleled by any other vector database management system. Zilliz includes support for multiple vector search indexes, built-in filtering, and complete data encryption in transit, a requirement for enterprise-grade applications. Zilliz is a cost-effective way to build similarity search, recommender systems, and anomaly detection into applications to keep that competitive edge.
    Starting Price: $0
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    CloudFabrix

    CloudFabrix

    CloudFabrix Software

    Data-centric AIOps Platform for Hybrid Deployments Powered by Robotic Data Automation Fabric (RDAF) Enabling the Autonomous Enterprise! - CloudFabrix was founded on a deep desire to enable Autonomous Enterprises. As we interviewed several big and small enterprises, one thing became very apparent. As Digital businesses were becoming more complex and abstract, it was impossible for traditional data management disciplines and frameworks to meet these requirements. As we dug deeper, 3 building blocks emerged as key pillars for embarking on an autonomous enterprise journey – the enterprise needed to adopt 1) Data-First 2) AI-First 3) Automate Everywhere strategy CloudFabrix AIOps platform provides the following services. 1) Alert Noise Reduction 2) Incident Management 3) Predictive Analytics & Anomaly Detection 4) FinOps/Asset Intelligence & Analytics 5) Log Intelligence
    Starting Price: $0.03/GB
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    Auger.AI

    Auger.AI

    Auger.AI

    Auger.AI has the most complete solution for ensuring machine learning model accuracy. Our MLRAM tool (Machine Learning Review and Monitoring) ensures your models are consistently accurate. It even computes the ROI of your predictive model! MLRAM works with any machine learning technology stack. If your ML system lifecyle doesn’t include consistent measurement of model accuracy, you’re likely losing money from inaccurate predictions. And frequent retraining of models is both expensive and, if they’re experiencing concept drift, may not fix the underlying problem. MLRAM provides value to both the data scientist and business user with features like accuracy visualization graphs, performance and accuracy alerts, anomaly detection and automated optimized retraining. Hooking up your predictive model to MLRAM is just a single line of code. We offer a free one month trial of MLRAM to qualified users. Auger.AI is the most accurate AutoML platform.
    Starting Price: $200 per month
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    Honeycomb

    Honeycomb

    Honeycomb.io

    Log management. Upgraded. With Honeycomb. Honeycomb is built for modern dev teams to better understand application performance, debug & improve log management. With rapid query, find unknown unknowns across system logs, metrics & traces with interactive charts for the deepest view against raw, high cardinality data. Configure Service Level Objective (SLOs) on what users care about so you cut-down noisy alerts and prioritize the work. Reduce on-call toil, ship code faster and keep customers happy. Pinpoint the cause. Optimize your code. See your prod in hi-res. Our SLOs tell you when your customers are having a bad experience so that you can immediately debug why those issues are happening, all within the same interface. Use our Query Builder to easily slice and dice your data to visualize behavioral patterns for individual users and services (grouped by any dimensions).
    Starting Price: $70 per month
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    Elastic Observability
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.
    Starting Price: $16 per month
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    InsightFinder

    InsightFinder

    InsightFinder

    InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.
    Starting Price: $2.5 per core per month
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    Tangent Works

    Tangent Works

    Tangent Works

    Drive business value from predictive analytics. Make informed decisions and improve processes. Create predictive models in seconds for faster and better forecasting & anomaly detection. TIM InstantML is a hyper-automated, augmented machine learning solution for time series data for better, faster, and more accurate forecasting, anomaly detection, and classification. TIM helps you to discover the business value of your data and enables you to leverage the power of predictive analytics. High-quality automatic feature engineering while simultaneously adapting the model structure and model parameters. TIM offers flexible deployment options. Easy integration with some of your favorite platforms. TIM offers a wide array of interfaces. Users looking for a streamlined graphical interface can find this in TIM Studio. Become truly data-driven with powerful, automated predictive analytics. Discover the predictive value in your data faster and easier.
    Starting Price: €3.20 per month
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    Anodot

    Anodot

    Anodot

    Anodot applies AI to deliver autonomous analytics in real-time, across all data types, at enterprise scale. Unlike the manual limitations of traditional Business Intelligence, we provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert incidents, and investigate root causes. Our platform uses patented machine learning algorithms to isolate issues and correlate them across multiple parameters. This helps eliminate business insight latency and supports smart, rapid business decision-making. Anodot has nearly 100 customers in digital transformation industries like eCommerce, FinTech, AdTech, Telco, Gaming, including Microsoft, Lyft, Waze, and King. Founded in 2014, Anodot is headquartered in Silicon Valley and Israel, with Sales offices worldwide.
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    Sightline EDM

    Sightline EDM

    Sightline Systems

    Sightline Systems is a trusted leader in predictive analytics and data monitoring providing a real-time operations intelligence solution. We are focused on predictive analytics, root-cause analysis, performance management, correlation of data, and analysis from any source including critical IT systems including mainframes, applications, storage, and databases — as well as manufacturing systems including programmable logic controllers (PLC), microprocessors, supervisory control and data acquisition (SCADA) devices, sensors, actuators, and loggers. Our global customers cover a wide range of industries including IT, Manufacturing, IIoT, Automotive, Industrial, Utilities, Aquaculture, Banking, Packaging, Chemical, Pharmaceutical, Airlines, Telecommunications, Federal, State, and Local Governments, and many Fortune 50 and Global 100 companies across 15 countries. Sightline Systems is proud to have a 98% Renewal Rate.
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    SentinelTrails

    SentinelTrails

    LogSentinel

    Our blockchain-based technology does not allow any audit trail changes or deletion even by privileged users. Meet the audit trail requirements of many standards and regulations: GDPR, PSD2, PCI-DSS, ISO 27001, HIPAA, SOX, etc. Real-time detailed analysis of everything that happens, as well as AI-driven anomaly detection will prevent any fraud attempts. Straightforward agent or agentless integration of all existing systems, as well as a simple RESTful API. Have a unified command centre for real-time control and insight across all systems and users. Demonstrate compliance at reduced operational cost and minimise effort on audit, forensics and fraud detection. Never again worry about the integrity of your critical data – we use blockchain so no one can ever tamper with it.
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    Amazon GuardDuty
    Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. With the cloud, the collection and aggregation of account and network activities is simplified, but it can be time consuming for security teams to continuously analyze event log data for potential threats. With GuardDuty, you now have an intelligent and cost-effective option for continuous threat detection in AWS. The service uses machine learning, anomaly detection, and integrated threat intelligence to identify and prioritize potential threats. GuardDuty analyzes tens of billions of events across multiple AWS data sources, such as AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. With a few clicks in the AWS Management Console, GuardDuty can be enabled with no software or hardware to deploy or maintain.
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    Mona

    Mona

    Mona

    Gain complete visibility into the performance of your data, models, and processes with the most flexible monitoring solution. Automatically surface and resolve performance issues within your AI/ML or intelligent automation processes to avoid negative impacts on both your business and customers. Learning how your data, models, and processes perform in the real world is critical to continuously improving your processes. Monitoring is the ‘eyes and ears' needed to observe your data and workflows to tell you if they’re performing well. Mona exhaustively analyzes your data to provide actionable insights based on advanced anomaly detection mechanisms, to alert you before your business KPIs are hurt. Take stock of any part of your production workflows and business processes, including models, pipelines, and business outcomes. Whatever datatype you work with, whether you have a batch or streaming real-time processes, and for the specific way in which you want to measure your performance.
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    Google Cloud Timeseries Insights API
    Anomaly detection in time series data is essential for the day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real-time from your time-series datasets. Get everything you need to understand your API query results, such as anomaly events, forecasted range of values, and slices of events that were examined. Stream data in real-time, making it possible to detect anomalies while they are happening. Rely on Google Cloud's end-to-end infrastructure and defense-in-depth approach to security that's been innovated for over 15 years through consumer apps like Gmail and Search. At its core, Timeseries Insights API is fully integrated with other Google Cloud Storage services, providing you with a consistent method of access across storage products. Detect trends and anomalies with multiple event dimensions. Handle datasets consisting of tens of billions of events. Run thousands of queries per second.
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    Metaplane

    Metaplane

    Metaplane

    Monitor your entire warehouse in 30 minutes. Identify downstream impact with automated warehouse-to-BI lineage. Trust takes seconds to lose and months to regain. Gain peace of mind with observability built for the modern data era. Code-based tests take hours to write and maintain, so it's hard to achieve the coverage you need. In Metaplane, you can add hundreds of tests within minutes. We support foundational tests (e.g. row counts, freshness, and schema drift), more complex tests (distribution drift, nullness shifts, enum changes), custom SQL, and everything in between. Manual thresholds take a long time to set and quickly go stale as your data changes. Our anomaly detection models learn from historical metadata to automatically detect outliers. Monitor what matters, all while accounting for seasonality, trends, and feedback from your team to minimize alert fatigue. Of course, you can override with manual thresholds, too.
    Starting Price: $825 per month
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    Cloud Cost Pro
    Introducing Cloud Cost Pro, an industry-leading cloud cost optimization and FinOps solution. With Cloud Cost Pro, you get a 360-degree view of your multi-cloud environment, complete with actionable insights, ML-powered recommendations, and automated actions for streamlined cloud operations. Drive organization-wide improvements, enhance budgeting, and ensure compliance with security and resiliency best practices. Automate assessment of best practices and actions on budget violations and anomalies. Get ML-powered cost forecasts, anomaly detection, and optimization recommendations. Gain end-to-end, granular visibility into your cloud resources to ensure every dollar spent is accounted for. Track multi-cloud costs across different teams and business units easily. Get near real-time actionable insights to optimize cloud costs. With ML-powered anomaly detection, you can shut down any unauthorized, costly resource before costs snowball.
    Starting Price: Free
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    Azure AI Anomaly Detector
    Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface.
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    IBM Z Anomaly Analytics
    IBM Z Anomaly Analytics is software that provides intelligent anomaly detection and grouping to proactively identify operational issues in your enterprise environment. IBM Z Anomaly Analytics uses historical IBM Z log and metric data to build a model of normal operational behavior. Real-time data is then scored against the model to detect anomalous behavior. A correlation algorithm then groups and analyzes anomalous events to proactively alert operation teams of emerging problems. Your essential services and applications must always be available in today's digital environment. For enterprises with hybrid applications, including IBM Z, detecting and determining the root cause of hybrid application issues has become more complex with rising costs, skill shortages, and changing user patterns. Proactively identify operational issues and avoid costly incidents by detecting anomalies in both log and metric data.
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    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.
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