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What is Informatica Cloud Data Marketplace?
Create an engaging marketplace that enables quick and secure data sharing, assuring users of the reliability of the information they access. Encourage the responsible distribution of verified data products that are essential for analytical and AI initiatives. Provide teams with the ability to independently find, request, and evaluate relevant data through self-service tools. Automate trusted data sharing processes to ensure compliance with governance standards. Showcase and distribute curated datasets, AI/ML models, and pipelines sourced from a variety of origins. Improve operational efficiency by simplifying the workflow from order placement to delivery, while offering straightforward tracking of key performance metrics. Enhance data literacy by delivering actionable insights and reviews that guide users in making informed, data-driven choices. Utilize communication tools such as chats, reviews, alerts, and user ratings to facilitate knowledge sharing and collaboration across teams within the organization. A data-sharing marketplace acts as a vital conduit between data providers and consumers, enabling effortless access to valuable insights. This type of marketplace not only allows organizations to quickly find, understand, trust, and leverage relevant data through automated means but also significantly boosts their decision-making abilities. By connecting the supply and demand for data, it fosters a culture of innovation and collaboration driven by data. Furthermore, the continuous exchange of insights within this marketplace allows for the evolution of best practices and the refinement of data strategies over time.
What is Azure Data Share?
Seamlessly distribute data from multiple sources to other organizations, regardless of its format or volume. You can easily control the information shared, determine who has access, and set the terms for its use. Data Share provides full visibility into your data-sharing relationships via an intuitive interface. With just a few clicks, you can share data or develop your own tailored application using the REST API. This serverless, no-code data-sharing solution removes the necessity for infrastructure setup or ongoing maintenance. Its user-friendly design enables you to manage all your data-sharing activities with ease. The automated features boost productivity and guarantee consistent results. Furthermore, the service is enhanced by Azure's security measures to protect your data during sharing. You can quickly share both structured and unstructured data from various Azure repositories without delay. There is no need to establish infrastructure or manage SAS keys, making the sharing process entirely code-free. You retain authority over data access while defining terms of use that conform to your organizational policies, ensuring both compliance and security throughout the sharing process. This efficient method not only facilitates collaboration within your organization but also protects sensitive information, fostering a culture of secure data management. By utilizing this service, organizations can enhance their operational efficiency and build stronger partnerships.
What is Atlan?
Welcome to the modern data workspace, where discovering all your data assets, from tables to business intelligence reports, is made incredibly easy. Our sophisticated search technology, combined with an intuitive browsing interface, guarantees that finding the correct asset is straightforward. Atlan enhances the process of identifying low-quality data by automatically creating data quality profiles, which help users quickly recognize any existing issues. With capabilities such as automatic detection of variable types, analysis of frequency distributions, identification of missing values, and detection of outliers, Atlan addresses every facet of data quality management comprehensively. This platform streamlines the complexities associated with effectively governing and managing your data ecosystem. Furthermore, Atlan’s smart bots scrutinize SQL query histories to create data lineage maps and pinpoint personally identifiable information (PII), facilitating the development of dynamic access policies and ensuring robust governance. In addition, those who lack a technical background can easily conduct queries across multiple data lakes, warehouses, and databases thanks to our user-friendly, Excel-like query builder. Not only that, but seamless integrations with popular tools like Tableau and Jupyter also enhance collaboration around data, significantly changing the way teams collaborate and share insights. This comprehensive strategy not only empowers users but also cultivates a more data-driven culture across organizations, encouraging informed decision-making at every level. Ultimately, Atlan revolutionizes the way organizations interact with their data, paving the way for greater innovation and efficiency.
Integrations Supported
Anomalo
Azure Blob Storage
Azure Data Lake Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Google Data Studio
MCPTotal
Microsoft Azure
Integrations Supported
Anomalo
Azure Blob Storage
Azure Data Lake Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Google Data Studio
MCPTotal
Microsoft Azure
Integrations Supported
Anomalo
Azure Blob Storage
Azure Data Lake Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Google Data Studio
MCPTotal
Microsoft Azure
API Availability
Has API
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.05 per dataset-snapshot
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
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
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
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Informatica
Date Founded
1993
Company Location
United States
Company Website
www.informatica.com/products/data-governance/cloud-data-marketplace.html
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/data-share
Company Facts
Organization Name
Atlan
Date Founded
2018
Company Location
India
Company Website
atlan.com
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
PIM
Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control