Sentra vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
NYC/Tel Aviv cloud DSPM platform; raised $55M+; autonomous data discovery and classification with privacy-first design for enterprise cloud environments.
About
Sentra is a cloud data security company founded in 2021 and headquartered in New York City, with engineering based in Tel Aviv, Israel. The company was founded by Yoav Regev, Ron Reiter, and Asaf Kochan — including alumni of Israeli intelligence Unit 8200 — to address the growing challenge of data sprawl in cloud environments. Sentra's platform autonomously discovers sensitive data across cloud-native data stores, databases, data pipelines, and SaaS applications, classifies it using contextual AI, and surfaces data security risks without requiring any data to leave the customer's own environment.\n\nSentra raised $55 million in funding from investors including Standard Investments, Moore Strategic Ventures, and Bessemer Venture Partners. Its privacy-first architecture differentiates Sentra from some competitors: the platform analyzes data metadata and structure within the customer's cloud environment rather than sending data samples to an external service for classification, addressing a common concern organizations have about DSPM vendors accessing their most sensitive information. The platform integrates with AWS, Azure, GCP, and cloud-native data services including Snowflake, Databricks, and Redshift.\n\nSentra's use cases include cloud data asset inventory for compliance and governance, detection of shadow data stores created by developers without security oversight, identification of over-permissioned data access by users and service accounts, and continuous monitoring for data movement that could indicate an exfiltration attempt or accidental exposure. The platform provides remediation guidance that routes to both security teams and the data owners responsible for each store.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
About
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
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