Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
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Data virtualization for the enterprise
Empower your data journey with versatile data virtualization built for enterprise workloads.
The Data Virtuality difference
Instant access to all sources
Get live access to 200+ enterprise sources, querying without ETL pipelines for faster insights.
High-performance data engine
Efficiently handle large volumes of data with a virtual access layer, complete with caching, query push-down, and materialization features.
Unified security & governance
Manage your enterprise data with centralized controls for data quality, security, and compliance.
Cost-effective & flexible
Reduce total-cost-of-ownership and simplify integration with SaaS, on-premises, and self-hosted cloud deployment options.
Future-proof, agile data connectivity
Elevate your data operations with a connectivity platform built for evolving data requirements.
- Instant connections to sources, metadata tools, and data consumers
- Semantic data layer for complete data visibility
- Centralized access control and audit trails for robust data governance
- An integrated data shop to empower business users to retrieve data sets
Flexible deployment options
Choose a deployment method that works best for your operational requirements. Options include:
- SaaS (lowest TCO, fully-managed)
- Self-hosted cloud
- On-premises
Data Virtuality powers data management initiatives for enterprises worldwide
Renew Financial Builds the Foundation for Self-Service BI Initiatives
“We decided to go with Data Virtuality because it reduced our development time by over 80%. If we were to use the old ETL tool it would have taken us six months, but with Data Virtuality it took us two.”
— Mai Doan
Renew Financial Senior BI Manager
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Technical features
Deployment options
Deployment types include SaaS, self-hosted cloud, on-premises, and hybrid environments.
Data virtualization
Virtualization features include cross-database joins, nested loop, merge join, dependent semi-join, cross-database unions, cross-database SELECT INTO and INSERT INTO, and dynamic cost-based query optimization.
Self-service data catalog
The Business Data Shop offers metadata catalog and search, self-service data access, query read/write, and downloaded data.
Streaming
Data Virtuality offers a Kafka connector and continuous record sets.
Data governance
Robust data governance features include automatic data lineage, column-level data lineage, column masking, and connectivity with specialized governance tools like Collibra and Dataspot.
Security, authentication, and auditability
Security features include row-based security; Git integration; built-in user/role-based permission system; permission granularity on schema, table, and column levels; LDAP authentication (Active Directory, ForgeRock, etc.); versioning for all custom metadata; access to audit information and usage statistics; and SSL/TLS and HTTPS security protocols.
Optimization
Data Virtuality features a self-learning recommendation engine, materialized source tables and virtual views, automatic index creation, and query optimization.
AI features
Get instantaneous explanations of SQL queries with the SQL AI Assistant.
Data Connectors
ETL/ ELT Solutions
Cloud & API Connectivity
OEM & Custom Drivers