Daturic

Daturic helps you secure your data lake using cloud native components. Maximize your security, minimize your latency.

General Information
Company Name
Daturic
Founded Year
2020
Location (Offices)
Calgary, Canada +3
Founders / Decision Makers
Number of Employees
2
Industries
Data Analytics, DevOps
Funding Stage
-
Social Media

Daturic - Company Profile

Daturic is a cloud-native data management automation platform with the slogan "Daturic helps you secure your data lake using cloud native components. Maximize your security, minimize your latency." Founded in 2020, the platform simplifies the efficient and secure management of data projects as they scale. It enables administrators to effortlessly translate business requirements into effective data structures and access policies, delivering quicker time to data value with a unified approach to data security. Key features of Daturic include an intuitive management interface providing visibility into data distribution and security without necessitating a large DevOps investment, tags that allow for simple combinations to realize complex data access patterns, administrative control over layout and permissions without requiring data access, scaling by leveraging existing cloud native access controls and tools/functionality, easy deployment into cloud accounts with no vendor lock-in, data migrations, or duplication of existing users/groups/permissions, and maintained custody of data with no third-party access required. This platform operates within the Data Analytics and DevOps industries, prioritizing secure and efficient data management. While details about the last investment and investors remain undisclosed, Daturic presents itself as an intriguing player in the cloud-native data management space, offering solutions that align with the growing demand for scalable and secure data management tools.

Taxonomy: Cloud-native data management, Data security, Data access control, Cloud deployment, Data governance, Data structure management, Cloud-native automation platform, Data lake security, Cloud access controls, Data project scalability

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