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What is Infometry Google Connectors?

Infometry's Google Connectors enable the effortless merging of Google Applications with Informatica Cloud IDMC, which was formerly known as IICS. Their certified Google Sheets Connectors provide users with native interfaces for streamlined interaction. Organizations that adopt Infometry's Connectors can experience seamless integration while gaining access to real-time data analytics. Additionally, the Google Connector for Informatica simplifies the processes of application integration, data extraction for downstream systems, and ETL operations for Enterprise Data Warehouses. Many customers utilizing Informatica Cloud Connectors store a variety of datasets in Google Sheets, such as Sales Forecasts, Goals, Product Master records, SKU data, Lab Results, Headcount estimates, and OpEx Budgets, all of which require efficient transfer to Enterprise Data Warehouses, Cloud Applications, and Data Lakes. Infometry has created a Google Sheet connector that harnesses Informatica’s native interface, covering extensive API operations like reading, writing, updating, deleting, and searching, thus providing a comprehensive solution for data management. This integration not only enhances analytics but also significantly improves decision-making capabilities for businesses looking to maximize the value of their data. By leveraging these connectors, companies can ensure their data flows smoothly between platforms, fostering a more connected and efficient operational environment.

What is Hyper-Q?

Adaptive Data Virtualizationâ„¢ technology allows organizations to run their existing applications on modern cloud data warehouses with minimal changes or configuration. By utilizing Datometry Hyper-Qâ„¢, companies can quickly adopt new cloud databases, effectively control ongoing operational expenses, and improve their analytical capabilities, thereby hastening their digital transformation initiatives. This virtualization software from Datometry enables any legacy application to operate on any cloud database, promoting seamless interoperability between applications and various databases. As a result, businesses can choose their desired cloud database without the risk of dismantling, rewriting, or replacing their current applications. Moreover, it guarantees runtime compatibility for applications by emulating and transforming the functionalities of traditional data warehouses. This innovative solution can be easily implemented across major cloud platforms such as Azure, AWS, and GCP. Furthermore, applications can utilize existing JDBC, ODBC, and native connectors without needing modifications, ensuring a seamless transition to cloud environments. It also facilitates connections with prominent cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, which enhances opportunities for data integration and comprehensive analysis. With these capabilities, organizations are better positioned to leverage cloud technologies and drive business innovation.

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Integrations Supported

Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Cognizant
DXC Cloud
Google Ads
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Platform
Google Cloud Pub/Sub
Google Drive
Google Sheets
Informatica Intelligent Data Management Cloud
Microsoft 365
Microsoft Azure

Integrations Supported

Amazon Redshift
Amazon Web Services (AWS)
Azure Synapse Analytics
Cognizant
DXC Cloud
Google Ads
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Platform
Google Cloud Pub/Sub
Google Drive
Google Sheets
Informatica Intelligent Data Management Cloud
Microsoft 365
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Infometry

Date Founded

2008

Company Location

United States

Company Website

www.infometry.net

Company Facts

Organization Name

Datometry

Date Founded

2013

Company Location

United States

Company Website

datometry.com/products/database-migration/

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

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