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CData Virtuality
 
Data Virtualization & Replication

Multiple integration styles in one platform

One integration method, whether it's virtualization, ETL, or streaming, can't solve for all data management use cases. Therefore, CData Virtualtiy uniquely combines virtualization and replication in a single platform.

  • Future-proof data integration: Test, change, and work interactively with data consumers to meet their evolving requirements.
  • Frictionless: Consolidate all your data integration jobs in a single place for higher productivity.
  • High performance: AI-based engine recommends which data to persist for optimal performance.
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DV integration
Comprehensive data management

Tackle any data management challenge

By combining data virtualization and replication, CData Virtuality effectively tackles complex data management challenges that require advanced data storage and transformation capabilities. The platform offers a robust solution for comprehensive data management tasks, such as data historization, data cleansing, and data transformation.

Learn more about data virtualization with replication
Semantic layer
Manage large data sets
Enterprise data handling

Effectively manage large data sets

Thanks to the data replication capabilities in CData Virtuality, handling large data sets is efficient and manageable even in a data virtualization environment. You gain detailed control over data loading and storage, ensuring efficient handling and processing of large datasets. Additionally, you can leverage advanced functionalities like optimized calculations and aggregations, crucial for processing large volumes of data efficiently.

In-memory caching

Protect data sources from unwanted workloads

Utilizing data replication, CData Virtuality can selectively protect data sources from unwanted workload, especially during peak times. Additionally, in-memory caching is available to provide fast responses to most often used requests.

Database management

Frequently asked questions

Data virtualization offers numerous advantages that enhance decision-making and operational efficiency:

  • Real-time access: Provides seamless, real-time access to integrated data from multiple sources, enabling timely decision-making.
  • Simplified data management: Allows easy connection, delivery, and access to data without requiring extensive technical knowledge.
  • Flexibility: Data can be manipulated, joined, and calculated independently of its source format and physical location.
  • Accelerated time-to-solution: Speeds up the time-to-solution by up to 5x, enabling rapid prototyping and faster test cycles.

These benefits contribute to a more agile and responsive data management environment, empowering organizations to innovate and adapt quickly.

CData Virtuality stands out for several key reasons:

  • Comprehensive integration: Combines data virtualization, data replication (ETL/ELT), and streaming in one platform for maximum flexibility and efficiency.
  • Quick time-to-value: Offers among other deployment options a fully managed SaaS option for fast deployment and minimal maintenance, ensuring a quicker time-to-value.
  • Supports a multitude of use cases: Excels in hybrid and multi-cloud integration, historical data access, and data cleansing. Supports 'lift and shift' cloud migration and addresses API rate limits.
  • Modern data architectures: Enables data fabric and data mesh architectures with essential self-service capabilities and robust data governance, ensuring agile and compliant data ecosystems.

CData Virtuality seamlessly connects to various data sources, databases, APIs, and files — without requiring significant changes to your current infrastructure.

The tool provides comprehensive data governance features, including metadata cataloging, automatic data lineage, column-level data lineage, column masking, and history of changes (metadata versioning). These features help ensure data accuracy and auditability.

CData Virtuality offers flexible deployment options to fit various IT strategies, each with unique benefits:

  • On-premises: Maintain full control over your data and infrastructure and meet stringent data privacy and compliance requirements.
  • Fully-managed in the cloud (SaaS): CData handles all infrastructure management and maintenance updates. Easily scale resources as needed, with high reliability and automatic updates.
  • Self-hosted cloud: Deploy on your preferred cloud provider (e.g., AWS, Azure, Google Cloud) and benefit from cloud flexibility.
  • Hybrid: Leverage the strengths of both on-premises and cloud deployments, balancing cost-efficiency and performance with the optimal environment for different workloads.

See how CData Virtuality fits your needs

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