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What is Microsoft Fabric?

Integrating all data sources with analytics services into a unified AI-driven platform will revolutionize the way individuals access, manage, and utilize data along with the insights derived from it. With all your data and teams consolidated in one location, collaboration becomes seamless. Develop a centralized lake-centric hub that empowers data engineers to link various data sources and curate them effectively. This approach will reduce data sprawl while enabling the creation of tailored views for diverse user needs. By fostering the advancement of AI models without the need to transfer data, analysis can be accelerated, significantly cutting down the time required for data scientists to produce valuable insights. Tools like Microsoft Teams, Microsoft Excel, and other Microsoft applications can significantly enhance your team's ability to innovate rapidly. Facilitate responsible connections between people and data with a flexible, scalable solution that enhances the control of data stewards, bolstered by its inherent security, compliance, and governance features. This innovative framework encourages collaboration and promotes a culture of data-driven decision-making across the organization.

What is DataNimbus?

DataNimbus is an advanced platform that harnesses the power of AI to optimize payment processes and expedite the adoption of AI technologies through cutting-edge solutions. By effectively incorporating Databricks elements like Spark, Unity Catalog, and ML Ops, DataNimbus enhances scalability and governance. The platform features a user-friendly designer, a marketplace filled with reusable connectors and machine learning blocks, as well as agile APIs. Each of these components is crafted to streamline workflows, ultimately fostering innovation driven by data insights. This holistic approach ensures that businesses can leverage technology efficiently and effectively.

Media

Media

No images available

Integrations Supported

Unity Catalog
Amazon S3
AnalyticsCreator
Azure Data Factory
Azure Data Lake
Azure Marketplace
Databricks Data Intelligence Platform
FLIP
Google Analytics
Google Cloud Storage
Microsoft Dataverse
Microsoft Excel
Microsoft Foundry
QuickLaunch Analytics
Resco Field Service+
Resco Inspections+
Salesforce
Snowflake
WhereScape

Integrations Supported

Unity Catalog
Amazon S3
AnalyticsCreator
Azure Data Factory
Azure Data Lake
Azure Marketplace
Databricks Data Intelligence Platform
FLIP
Google Analytics
Google Cloud Storage
Microsoft Dataverse
Microsoft Excel
Microsoft Foundry
QuickLaunch Analytics
Resco Field Service+
Resco Inspections+
Salesforce
Snowflake
WhereScape

API Availability

Has API

API Availability

Has API

Pricing Information

$156.334/month/2CU
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/microsoft-fabric

Company Facts

Organization Name

DataNimbus

Date Founded

2018

Company Location

United States

Company Website

datanimbus.com

Categories and Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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