Lacework vs Amplitude

Side-by-side comparison to help you choose the best tool.

Lacework

paid

Data & Analytics

4.4 / 5.0

AI-driven cloud security platform that uses behavioural anomaly detection to identify threats, vulnerabilities, and compliance violations across cloud workloads. Lacework's Polygraph technology automatically learns normal behaviour across cloud environments and surfaces deviations that indicate potential threats. The platform provides unified visibility across cloud accounts, containers, Kubernetes, and infrastructure as code.

Best for: Cloud-native organisations needing behavioural threat detection across flexible cloud workloads

Visit Lacework

Amplitude

freemium

Data & Analytics

4.6 / 5.0

Amplitude is a digital analytics platform helping product teams understand user behaviour, grow faster, and improve retention. Its AI layer, Amplitude AI, provides automatic insight discovery, predictive analytics, and AI Copilot for natural language data exploration. Used by Notion, Atlassian, and PayPal, Amplitude is the preferred analytics platform for product-led growth companies.

Best for: Product and growth teams at digital companies who want deep behavioural analytics with AI data and built-in experimentation

Visit Amplitude

Feature Comparison

Feature	Lacework	Amplitude
Pricing	paid	freemium
Category	Data & Analytics	Data & Analytics
Rating	★★★★☆ 4.4	★★★★½ 4.6
Best For	Cloud-native organisations needing behavioural threat detection across flexible cloud workloads	Product and growth teams at digital companies who want deep behavioural analytics with AI data and built-in experimentation
Views	5	5

Pros & Cons — Lacework

Pros

Polygraph provides deep behavioural context for threat detection
Strong cloud-native architecture with broad cloud service coverage
Unified platform reduces need for multiple point solutions

Cons

Anomaly-based detection can produce noise during initial learning phase
Advanced features may require dedicated security engineering resources

Pros & Cons — Amplitude

Pros

Best combination of analytics depth and AI accessibility
AI Copilot democratises data for non-analysts
Strong PLG (product-led growth) analytics

Cons

Free tier data limits are restrictive
Event schema management requires ongoing engineering

Key Features — Lacework

Polygraph behavioural anomaly detection
Cloud workload protection
Infrastructure as code security scanning
Container and Kubernetes security
Compliance reporting and posture management

Key Features — Amplitude

AI Copilot natural language analytics
Automatic insight discovery
Predictive user behaviour modelling
Session replay & heatmaps
Experiment & feature flagging

Browse All Tools Best AI Tools