Anodot vs. New Relic
Anodot autonomously baselines, monitors and correlates 100% of your data and metrics for anomalies in real time, so incidents are detected before they impact your customers and revenue
Download Comparison
Why choose Anodot over New Relic?
Monitors 100% of your data
Why only monitor IT infrastructure and apps—when you can monitor your entire business? Not all impactful issues can be observed through IT and application metrics. Very often, revenue, cost, customer experience and partners issues occur without leaving a trace in the app or infrastructure data. Monitoring and correlating 100% of your data and metrics is the only way to spot these common types of revenue bleeds. Anodot scales to billions of metrics, with no restrictions to data or hardware.
Anodot works autonomously
Anodot automatically selects the most appropriate algorithm for every metric, adapts to changes in metric behavior, and can switch algorithms in case patterns change. There are no limitations on metrics with strong trends and recurring patterns: Anodot’s robust algorithm library is built to autonomously baseline and monitor any type of signal. No need to manually create a monitor or set alert conditions or thresholds: all metrics and dimensions are monitored all the time with the most appropriate alert conditions and algorithms.
Fastest incident detection and correlation
Fast automated detection of correlations is continuously done via Anodot’s patented correlation engine, that works across all data sources, metrics and dimensions to create a complete picture of every incident, including root cause analysis, for lightning-fast resolution. Context-based alerts improve collaboration across business/product/devops teams and enable 15 times faster anomaly detection across the business, cutting incident-related costs by 70%.
A look at New Relic
New Relic is a robust observability platform built to help DevOps and engineers get a real-time view of all operational IT data. However, it lacks the robust ML-based analysis and automation capabilities offered by Anodot on all of your data. New Relic One offers out of the box alerting on metrics, events, logs, and traces data — but it requires that users decide what to monitor and how. Each alert job is limited to a single data source and must have a predefined threshold and time span to a specific metric in your data. Of course, it is humanly impossible to scan thousands of metrics in order to decide how each one is best monitored and alerted on. New Relic’s AI-based Alerts and Applied Intelligence feature to automatically detect anomalies, correlate issues, and reduce alert noise is very limited and still requires manual work. For these and other reasons, many companies use Anodot to complement New Relic in the same monitoring stack, supercharging New Relic’s observability capabilities with Anodot’s monitoring and detection prowess.
Why Anodot is better
Scope of data coverage
Anodot
Anodot simply monitors all your data all of the time. Get visibility into 100% of your data with Anodot: infrastructure, application, revenue, cost, customer experience, digital experience, partners, and more.
New Relic
New Relic offers great observability of infrastructure, container, serverless, application, mobile/browser (real & synthetic user monitoring) data, but no linkage to business, revenue and cost metrics.
Level of monitoring automation
Anodot
With Anodot, 100% of your data is autonomously scanned for anomalies in real time using proprietary AI: Automatic anomaly and outlier detection; Auto-learning of seasonality; Autonomous learning of metric behavior; Automatic selection of optimal model; Sequential adaptive learning of normal behavior; Comprehensive metric and event correlation.
New Relic
With New Relic you need to decide what to monitor and define how it will be monitored. Automated threshold baselines are only available for data from APM, Browser, and NRQL queries, and rely on less accurate statistical methods instead of robust machine learning analysis. Automated anomaly detection (Proactive Detection feature) is only available for APM data and is limited to golden signals: throughput, response time, and errors.
Time scale & seasonality
Anodot
Anodot monitors each metric at multiple time scales: 1-minute, 5-minute, hourly, daily and weekly. This allows the discovery of a range of slow degrading issues that would otherwise go unnoticed. Additionally, Anodot’s patented seasonality algorithm autonomously detects multiple patterns in time series data without prior knowledge of seasonal periodicity.
New Relic
Automated baseline alert condition thresholds only support 1-minute time scale. After its initial run, the algorithm will take into account ongoing data fluctuations over a long time period, although greater weight is given to more recent data. For metric values that remain in a consistent range or that trend slowly and steadily, thresholds will become tighter around the baseline. Data that is more varied and unpredictable will have looser thresholds.
Noise & false positive reduction
Anodot
Anodot employs sophisticated alert reduction mechanisms to deduplicate alerts and eliminate noise. Anodot parses the anomaly’s direction, delta, duration and other factors to generate a score for each anomaly. This scoring mechanism ensures that only — and all — mission critical incidents receive alerts. False positives, false negatives and alert storms are left behind.
New Relic
Incident correlations (Incident Intelligence feature) must be manually set up with data sources and individual policies; otherwise they will not be included in the correlation analysis. Although the system automatically creates tailored correlation decisions, you must enable them manually. This means that the system must be actively maintained to take new alert policies and decisions into account. Alert reduction mechanisms are limited to incident preferences, grace periods, and alert correlations.
Why Anodot is better
Scope of data coverage
Anodot
Anodot simply monitors all your data all of the time. Get visibility into 100% of your data with Anodot: infrastructure, application, revenue, cost, customer experience, digital experience, partners, and more.
New Relic
New Relic offers great observability of infrastructure, container, serverless, application, mobile/browser (real & synthetic user monitoring) data, but no linkage to business, revenue and cost metrics.
Level of monitoring automation
Anodot
With Anodot, 100% of your data is autonomously scanned for anomalies in real time using proprietary AI: Automatic anomaly and outlier detection; Auto-learning of seasonality; Autonomous learning of metric behavior; Automatic selection of optimal model; Sequential adaptive learning of normal behavior; Comprehensive metric and event correlation.
New Relic
With New Relic you need to decide what to monitor and define how it will be monitored. Automated threshold baselines are only available for data from APM, Browser, and NRQL queries, and rely on less accurate statistical methods instead of robust machine learning analysis. Automated anomaly detection (Proactive Detection feature) is only available for APM data and is limited to golden signals: throughput, response time, and errors.
Time scale & seasonality
Anodot
Anodot monitors each metric at multiple time scales: 1-minute, 5-minute, hourly, daily and weekly. This allows the discovery of a range of slow degrading issues that would otherwise go unnoticed. Additionally, Anodot’s patented seasonality algorithm autonomously detects multiple patterns in time series data without prior knowledge of seasonal periodicity.
New Relic
Automated baseline alert condition thresholds only support 1-minute time scale. After its initial run, the algorithm will take into account ongoing data fluctuations over a long time period, although greater weight is given to more recent data. For metric values that remain in a consistent range or that trend slowly and steadily, thresholds will become tighter around the baseline. Data that is more varied and unpredictable will have looser thresholds.
Noise & false positive reduction
Anodot
Anodot employs sophisticated alert reduction mechanisms to deduplicate alerts and eliminate noise. Anodot parses the anomaly’s direction, delta, duration and other factors to generate a score for each anomaly. This scoring mechanism ensures that only — and all — mission critical incidents receive alerts. False positives, false negatives and alert storms are left behind.
New Relic
Incident correlations (Incident Intelligence feature) must be manually set up with data sources and individual policies; otherwise they will not be included in the correlation analysis. Although the system automatically creates tailored correlation decisions, you must enable them manually. This means that the system must be actively maintained to take new alert policies and decisions into account. Alert reduction mechanisms are limited to incident preferences, grace periods, and alert correlations.
Get a detailed comparison of Anodot vs. New Relic
KING
70% Incident cost reduction
“Even with our massive dataflow, Anodot has proven that it can seamlessly correlate data accross millions of real-time metrics - alerting us immediately so we can react instantly.”
Nanako Yamagishi
Director of Incident and of Service Operations
Anomaly Score
US10061632B2
Seasonality
US10061677B2
Correlation Technology
US20160210556A1
HD Baseline
at Scale
at Scale
Pending