
How to drive trusted decisions without changing your current data infrastructure.
Learn more about DataOS® in our white paper.
Instantly use your legacy systems in modern ways. With DataOS, you can apply modern governance and activation to legacy systems without the need to modernize them.
Perform most data analysis with data in place. Move only the data that needs to be operationalized. This means less risk, lower cost, and significantly more value.
Business users, define the outcomes you need. DataOS automatically gets the required data without the need to write pipelines.
A composable architecture allows you to realize data fabric, lakehouse, CDP, and similar architectures in weeks instead of years.
Operationalize and activate your data with custom reports and dashboards that can be created in minutes. Low-code access to data democratizes data-driven decision making. Unlock new models of data revenue by sharing datasets in a secure and auditable environment.
Operationalize and activate your data with custom reports and dashboards that can be created in minutes. Low-code access to data democratizes data-driven decision making. Unlock new models of data revenue by sharing datasets in a secure and auditable environment.
Build an ontology of your data that encodes relationships, metadata, and lineage. Ensure confidence in your data by seamlessly enforcing quality and governance rules and policies. Monitor and analyze the health of your data throughout its entire lifecycle and enhance data reliability.
Build an ontology of your data that encodes relationships, metadata, and lineage. Ensure confidence in your data by seamlessly enforcing quality and governance rules and policies. Monitor and analyze the health of your data throughout its entire lifecycle and enhance data reliability.
Connect and start using your data without moving it. The built-in lakehouse offers structure to and management of both structured and unstructured data. You have full flexibility to select the optimal compute resources for your batch and streaming workloads.
Connect and start using your data without moving it. The built-in lakehouse offers structure to and management of both structured and unstructured data. You have full flexibility to select the optimal compute resources for your batch and streaming workloads.
Monitor the health and performance of your data and enhance data reliability
Connect data sources to DataOS and start gaining value without moving any data
Use and deploy data as software with versioning capabilities, including data replay
Ensure trustworthy data and high-quality insights with validation and profiling checks
Convert raw data into consumable data products with dictionary, schema evolution, lineage, impact, profiling, usage, and quality
Enable seamless, secure, and monitored data collaboration across your business ecosystem to unlock new business models and insights
A semantic network that is enriched in real-time with metadata and lineage to reflect the complex relationships between various data sets
Built-in lakehouse that delivers ACID compliance, reliability, and performance for both structured and unstructured data
Automate data access control with granular privacy controls — ABAC governance enables flexible and scalable policies that adapt to changing or new compliance regulations
A fast, distributed SQL query engine for big data analytics providing low code access to data and insights for business users — a data GUI for everyone to use
Automatic cataloging of all data with real-time updates so that teams discover deep connections, uncover patterns within the data, and get definitive explainable results