Invantive Data Access Point

Invantive Data Access Point

Invantive Data Access Point is a data virtualization and data access platform that allows connecting to various data sources and providing a unified data access layer. It enables self-service BI and simplifies data access.
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data-virtualization data-access selfservice-bi data-integration

Invantive Data Access Point: Connect to Various Data Sources

Invantive Data Access Point is a data virtualization and data access platform that allows connecting to various data sources and providing a unified data access layer. It enables self-service BI and simplifies data access.

What is Invantive Data Access Point?

Invantive Data Access Point is a data virtualization and data access platform designed to simplify access to enterprise data sources. It provides a unified data access layer that sits on top of various disconnected data silos, enabling connectivity to databases, applications, cloud services, big data environments and more.

Key capabilities and benefits include:

  • Connectivity to 100+ data sources such as SAP, Oracle, SQL Server, Salesforce, SharePoint, Azure and more
  • Unified semantic data access layer provides self-service access to harmonized data
  • Federated queries distribute processing load while abstracting underlying source complexity
  • Data modeling, mapping, and transformation services simplify working with diverse data
  • Data governance with auditing, lineage tracking, and access controls
  • Accelerates development with an extensive library of pre-built connectors and transforms
  • Designed for enterprise scale in deployment, security, and performance

In summary, Invantive Data Access Point is a data virtualization platform that provides simplified and governed access to distributed data sources, enabling faster BI and analytics while reducing the burden on IT for data integration and preparation.

Invantive Data Access Point Features

Features

  1. Unified data access layer
  2. Connects to various data sources like databases, files, applications
  3. Data virtualization and transformation
  4. Self-service BI enablement
  5. Data modeling, mapping and publishing

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Simplifies data access and integration

Provides unified view of disparate data sources

Enables self-service BI without moving data

Reduces dependency on IT for data access

Low code/no code environment

Cons

Steep learning curve

Requires expertise to set up and configure

Limited pre-built data connectors

Not optimized for large data volumes

Lacks capabilities of full ETL tools


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