Rocket DataEdge Description
Hybrid data estates create silos, duplicate datasets, and “unknown” data flows. Teams lose time finding the right data, can’t trace lineage for audits, and take on risk when changes break downstream reports and apps.
Rocket® DataEdge™ is a metadata-driven data intelligence, integration, and virtualization platform. It connects and delivers data across heterogeneous systems while adding business and technical context, lineage, and end-to-end visibility so teams can understand what data exists, where it’s used, and how it moves.
Key capabilities:
• Metadata capture and cataloging with glossary/tags/ownership
• Lineage and impact visibility to troubleshoot and govern change
• Seamless hybrid data integration plus virtual/federated access
• Connectors/APIs for mainframe, distributed, and cloud sources/targets
• Policy-driven security/governance controls across environments
Outcome: faster time-to-data with fewer brittle pipelines, audit-ready visibility, and more trusted analytics/AI inputs.
Rocket DataEdge Alternatives
DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Teradata VantageCloud
Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
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Rocket Data Virtualization
Hybrid data stacks create duplication and delay: mainframe records, on prem apps, and cloud platforms often end up with mismatched copies, brittle ETL, and long lead times for “just one more feed.” Moving large datasets for every use case is slow, costly, and expands the security surface.
Rocket® Data Virtualization™ is a data virtualization and federated query solution that enables a governed, virtual data model across mainframe, distributed, and cloud sources—so BI tools, analysts, and applications can query sensitive data in place.
Key capabilities:
• Federated SQL queries/joins across heterogeneous sources with pushdown
• Standard connectivity (e.g., JDBC/ODBC/REST) for BI, analytics, and apps
• Virtual views/semantic layer to simplify access and reuse logic
• Centralized security controls, auditing, and masking (where supported)
• Optional caching/materialization to balance performance and freshness
Result: faster time to data with less ETL and lower migration risk.
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Denodo
The fundamental technology that powers contemporary solutions for data integration and management is designed to swiftly link various structured and unstructured data sources. It allows for the comprehensive cataloging of your entire data environment, ensuring that data remains within its original sources and is retrieved as needed, eliminating the requirement for duplicate copies. Users can construct data models tailored to their needs, even when drawing from multiple data sources, while also concealing the intricacies of back-end systems from end users. The virtual model can be securely accessed and utilized through standard SQL alongside other formats such as REST, SOAP, and OData, promoting easy access to diverse data types. It features complete data integration and modeling capabilities, along with an Active Data Catalog that enables self-service for data and metadata exploration and preparation. Furthermore, it incorporates robust data security and governance measures, ensures rapid and intelligent execution of data queries, and provides real-time data delivery in various formats. The system also supports the establishment of data marketplaces and effectively decouples business applications from data systems, paving the way for more informed, data-driven decision-making strategies. This innovative approach enhances the overall agility and responsiveness of organizations in managing their data assets.
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Company Details
Company:
Rocket Software
Year Founded:
1990
Headquarters:
United States
Website:
www.rocketsoftware.com/en-us/products/dataedge
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
Training Videos
Customer Support
Business Hours
Online Support
Rocket DataEdge Features and Options
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