Why do enterprises choose Sentra over Varonis?

Enterprises choose Sentra for automatic classification that scales with no setup lag or manual mapping, cloud-native and hybrid ready architecture supporting structured and unstructured data across IaaS, PaaS, DBaaS, SaaS apps, and on-prem systems, API-based onboarding for immediate insights, and fair pricing that scales with data scanned rather than users or seats.

What are the key differences between Sentra and Varonis?

Sentra offers no setup lag with auto-discovery and classification, cloud-native architecture with full PaaS/DB support, API-based onboarding for day-one insights, and pricing based on data scanned. Varonis requires extensive manual setup taking weeks, focuses primarily on SaaS and on-prem file systems, has long deployment cycles, and pricing tied to endpoints and seats.

Sentra vs Varonis: Agentless Cloud DSPM vs. On-Prem Architecture.

Varonis requires manual setup and configuration for every system. Sentra is API-based — no agents, no manual mapping, no weeks of implementation.
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Sentra Named a Leader and Fast Mover in 2025 GigaOm Radar for DSPM

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Why Enterprises Choose Sentra over Varonis

Advantage

Automatic Classification That Scales

IaaS, PaaS, SaaS, and On-Prem Support

Quick Time to Value

Tiered, Cost-Effective Pricing

Sentra

No Setup Lag, No Manual Mapping

Sentra auto-discovers and classifies data across all environments - no need to spend weeks connecting to every data store.

Cloud-Native + Hybrid Ready

Supports structured and unstructured data across IaaS, PaaS, DBaaS, SaaS apps, and on-prem systems.

Deploy in Minutes, Not Weeks

API-based onboarding means teams start seeing insights and classifications on day one.

Fair Pricing That Scales with Data

Sentra charges based on actual data to be scanned - not users, seats, or infrastructure size.

Varonis

Requires extensive manual setup (weeks!) and configuration for each system; slower to implement across environments.

Primarily focused on SaaS and on prem fle systems/unstructured data; lacks full cloud PaaS/DB support

Long deployment cycles due to complex architecture and system-specific integrations.

Pricing tied to endpoints, seats, or volume of systems - more expensive at scale.

What Customers Are Saying About Sentra

See How Sentra Compares to Varonis in This Gartner Report

Peer insights customer choice 2025 badge

When sensitive data in our cloud data stores is duplicated or moved by engineers, we can now understand if that causes any security or compliance issues

The POC was incredible and going forward we feel this is crucial and somewhat irreplaceable for us

Agentless data classification from Sentra has been a huge help, now we can auto-classify sensitive data and prevent this data from being extracted

Learn more about Sentra's Data Security Platform

Product

Sentra's Data Security Platform

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Sentra's Data Security Platform

Sentra DSP empowers security teams to automatically classify sensitive data, assess risk, and remediate threats to every datastore and data asset across multiple cloud, SaaS, and on-premises environments.

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Sensitive Data Classification Challenges

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Sensitive Data Classification Challenges

At the end of the day, you need to secure your sensitive data to prevent unintended disclosure or breaches. A simple and straightforward goal.Yet, the challenge persists – how can you accurately identify the sensitive data, its sensitivity level, data subjects residency, and gain sufficient business context to understand how it's being use

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Sentra for AI & ML

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Sentra for AI & ML

Gain visibility into AI agents and their data exposure. Automatically discover AI agents, map their knowledge sources and sensitive data connections, and track user interactions to uncover hidden risks.