DataCyber’s multi-cloud big data platform with batch–stream and lake–house architecture for public, private, or hybrid cloud. Ingest structured, semi-structured, and unstructured data, govern fragmented data, and boost enterprise data productivity.
Provide one-stop data development and governance capabilities from data collection to service; offline, real-time, lake warehouse integration, flow batch integration, full capacity coverage.
Open architecture design, support for mainstream data sources and big data engines; unified data integration, scheduling, and metadata management; first-line large-scale factory production experience to support large-scale enterprise-class lake warehouse applications with high availability and high throughput.
Based on cloud neutrality, it supports the unified management of big data engines in different cloud environments, and realizes the ability to publish a set of code to multi-cloud and multi-engines with one click.
Multi-dimensional authority management and control to ensure data security and controllability; support data desensitization, audit, and risk warning to ensure the safe and compliant use of data.
The basic version is open source, supports internationalization, supports unified release in multiple regions, multiple environments, and multiple clusters, and meets the complex data use scenarios of multinational enterprises.
Provide one-stop data development capabilities, support the integration of mainstream storage and computing engines, and easily complete the data processing process through visualization.
Provide one-stop data development capabilities, support the integration of mainstream storage and computing engines, and easily complete the data processing process through visualization.
Supports all kinds of heterogeneous data sources, structured and unstructured data synchronization, and easy data integration through visualization wizards or scripting modes.
Supports all kinds of heterogeneous data sources, structured and unstructured data synchronization, and easy data integration through visualization wizards or scripting modes.
Provide unified scheduling services to support minute-level scheduling granularity; support cross-cloud, cross-center, cross-cluster, cross-system scheduling.
Provide unified scheduling services to support minute-level scheduling granularity; support cross-cloud, cross-center, cross-cluster, cross-system scheduling.
Provide quality verification, notification and management capabilities for a variety of heterogeneous data sources to protect users' one-stop data development and governance.
Provide quality verification, notification and management capabilities for a variety of heterogeneous data sources to protect users' one-stop data development and governance.
Provide unified metadata services, manage and control all metadata, and provide underlying capability support for data governance to help enterprises efficiently manage and control data assets.
Provide unified metadata services, manage and control all metadata, and provide underlying capability support for data governance to help enterprises efficiently manage and control data assets.
Provide data service capabilities to achieve full lifecycle management such as service API creation, maintenance, release, and monitoring.
Provide data service capabilities to achieve full lifecycle management such as service API creation, maintenance, release, and monitoring.
Provide one-stop data development capabilities, support the integration of mainstream storage and computing engines, and easily complete the data processing process through visualization.
Supports all kinds of heterogeneous data sources, structured and unstructured data synchronization, and easy data integration through visualization wizards or scripting modes.
Provide unified scheduling services to support minute-level scheduling granularity; support cross-cloud, cross-center, cross-cluster, cross-system scheduling.
Provide quality verification, notification and management capabilities for a variety of heterogeneous data sources to protect users' one-stop data development and governance.
Provide unified metadata services, manage and control all metadata, and provide underlying capability support for data governance to help enterprises efficiently manage and control data assets.
Provide data service capabilities to achieve full lifecycle management such as service API creation, maintenance, release, and monitoring.
CyberData can quickly realize the digital transformation of enterprises, provide complete solutions based on different business scenarios, realize the digitalization of core processes and systems, build an integrated data operation platform, promote the formation of data-driven decision-making and culture, and help enterprises with intelligent digital transformation and upgrading.
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