Overview
CyberData AI-Native Data Intelligence Platform
Product showcase of CyberData one-stop multi-cloud data intelligence platform, featuring AWS service integration, enterprise-grade data governance and AI analytics capabilities.
CyberData is an AI-native data platform that unifies data integration, development, governance, and API services on AWS. With batch and streaming workflows, lakehouse capabilities, and visual development tools, it helps enterprises turn fragmented data into trusted assets for analytics and AI. Deeply integrated with the AWS ecosystem, CyberData connects Amazon EC2, Amazon S3, Amazon RDS, AWS Lambda, and Amazon Redshift, with support for AWS Graviton-based computing. These integrations bring AWS compute, storage, and analytics capabilities into a unified data environment, helping organizations build on their existing cloud investments. An embedded Data Agent uses enterprise metadata, business knowledge, and platform tools to turn natural-language requests into actionable tasks. Teams can discover data, generate and validate SQL, investigate quality issues, and create ETL and ELT workflows, with transparent execution and human confirmation at key steps. CyberData also prepares structured and unstructured data for enterprise AI. Configurable pipelines support content extraction, cleansing, chunking, and embedding generation, while full-text and vector search power retrieval for knowledge bases, RAG, and AI agents. Unified catalogs, quality management, lineage, and fine-grained security controls keep data discoverable, traceable, and governed. For enterprises operating beyond AWS, CyberData supports hybrid and multi-cloud deployments. Centralized governance and global asset visibility work alongside regional data processing and storage, enabling coordinated operations across clouds, regions, and data centers.
Highlights
- Deep AWS integration: Unify data integration, development, and governance across AWS services, with batch, streaming, and lakehouse capabilities.
- AI-native productivity: Accelerate data tasks with an embedded Data Agent and prepare multimodal data for knowledge bases, RAG, and AI applications.
- Consistent governance: Manage data quality, lineage, and security across AWS and multi-cloud environments, combining global visibility with regional data operations.
Details
Introducing multi-product solutions
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This product does not support unreasonable refunds. For technical support, please contact: support@cyberdata.com
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Core Information Summary (1-Minute Quick Overview) Core Positioning: An all-in-one AI-native + multi-cloud collaboration + enterprise-grade security data intelligence platform deeply optimized for the
Additional details
Usage instructions
For complete CyberData on AWS Usage Instructions, please refer to the following link: https://mp.weixin.qq.com/s/1K15QTlMZAZH9UzHXBEiww
Support
Vendor support
Professional global technical support is provided for CyberData users. Support email: support@cyberdata.com . We offer full-range services including AWS environment deployment guidance, product troubleshooting, function consultation, version update, architecture optimization and technical training. Our team ensures timely response and efficient problem resolution to guarantee the stable operation of the platform and help enterprises achieve the expected value of data intelligence construction.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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