Data Virtuality Platform

The Data Virtuality Platform is a data integration and management solution designed to integrate data from various sources, regardless of type, format, or location. According to the vendor, this platform targets small to large enterprises and is suitable for data architects, data engineers, business analysts, heads of data, and DevOps professionals. It finds applications across industries such as e-commerce/retail and financial services, offering a unified data access layer and streamlining data integration processes.

Key Features

Connect: According to the vendor, the platform enables the integration of data from disparate sources using methods like data virtualization, ETL/ELT, streaming, and CDC.

Query: The platform allows users to create a central data logic using SQL language for data queries, simplifying data integration and enabling the retrieval of specific information from multiple sources.

Replicate: The platform seamlessly replicates data using SQL commands translated into native data source commands, supporting real-time replication from various sources into a centralized data repository.

Deliver: According to the vendor, the platform facilitates the delivery of data to any data consumer, supporting integration with a wide range of tools and applications, and providing flexibility in delivering data in various formats and programming languages.

Data Governance: The platform offers robust data governance features, including data quality controls, access controls, and compliance with data regulations and standards, to ensure data integrity, security, and compliance.

Business Data Shop: The platform provides a centralized data marketplace for users to discover and access pre-integrated data sources, streamlining the data discovery and access process while promoting collaboration and knowledge sharing.

Security, Authentication, Audit: According to the vendor, the platform implements security measures, authentication mechanisms, and auditing capabilities to protect data, control access, and ensure compliance with data security and privacy regulations.

Change Data Capture (CDC): The platform captures and replicates only changed data in real-time, supporting incremental updates and enabling efficient and timely data replication for near-real-time analytics and reporting.

Optimization: The platform optimizes data integration and query performance through query optimization techniques, caching mechanisms, and tools to enhance the overall data integration workflow, according to the vendor.

Streaming: According to the vendor, the platform supports real-time data streaming, enabling the integration of streaming data sources into the data integration pipeline and facilitating the processing and transformation of streaming data in real-time.