Overview
Graviton accelerates data platform modernization and data product delivery using multiple storage technologies and open-source, cloud-native and proprietary components and provides a collaboration workspace, DataOps capabilities and additional data services.
- Comprehensive framework with customizable prebuilt components for automating the complete data product lifecycle
- Bundled use cases for all major industries and reference architectures for all major public clouds
- Seamless collaboration between different stakeholders for data product creation and management
- Best-in-class components for multi-dimensional data quality, synthetic data generation, differential privacy and unstructured data parsing and more
- Complete view on the overall costs incurred on a platform and project level
Efficiently build, deploy, monitor and maintain an agile and cost-effective modern data platform.
See how Graviton accelerates your data platform modernization.
Graviton Benefits
Graviton accelerates the data platform modernization journey by facilitating the development and delivery of data products and ensures the efficient management of the data product lifecycle from development to production.
This data modernization framework empowers your organization to build, deploy, monitor and maintain agile and cost-efficient data platforms for the most demanding use cases.
Improve productivity
Save 25-75% time and effort and increase collaboration between data engineering and platform teams to drive data product innovation.
Optimize cost
Track and analyze cost and resource utilization with end-to-end visibility at the platform, data product and resource levels to collaboratively identify optimization opportunities.
Deploy and customize easily
Combine hyperscaler capabilities with HCLTech frameworks and niche partner products to fast-track the deployment of a hybrid data platform tailored to your use cases
Get more value from data
Improve decision-making, customer service and other data-driven processes by constantly monitoring and improving the quality of your data
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