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What is Zingg?

Zingg is an open-source solution crafted for Master Data Management, specifically designed to meet the demands of modern data warehousing. By utilizing machine learning for efficient entity resolution, it eliminates the need for expensive and rigid MDM alternatives. It integrates effortlessly with platforms such as Databricks, Microsoft Fabric, Snowflake, AWS, and GCP, enabling data teams to establish a unified and trustworthy view of customers, suppliers, and products directly within their established data frameworks. Thanks to the persistent Zingg ID, organizations maintain golden records that are consistently synchronized across multiple systems and data sources, guaranteeing both data integrity and accessibility. Furthermore, Zingg's forward-thinking methodology streamlines the administration of master data, empowering organizations to concentrate on making informed, data-driven decisions. In doing so, Zingg promotes the efficient analysis of information, which is crucial for staying competitive in today's data-centric landscape.

What is Collate?

Collate is an AI-driven metadata platform designed to provide data teams with automated tools for tasks like discovery, observability, quality, and governance, utilizing efficient agent-based workflows. Built on OpenMetadata, it boasts a unified metadata graph and includes more than 90 seamless connectors that facilitate the collection of metadata from diverse sources, including databases, data warehouses, BI tools, and data pipelines. The platform ensures data integrity by offering in-depth column-level lineage and data profiling, along with no-code quality tests. AI agents are essential for optimizing functions such as data discovery, permission-based querying, alert notifications, and large-scale incident management workflows. In addition, the platform features real-time dashboards, interactive analyses, and a collaborative business glossary that is beneficial to both technical and non-technical users, enhancing the management of valuable data assets. Its automated governance and continuous monitoring uphold compliance with regulations like GDPR and CCPA, significantly cutting down the time required to address data issues while lowering the total cost of ownership. This holistic strategy not only boosts operational efficiency but also promotes a culture of data stewardship within the organization, encouraging all stakeholders to prioritize data quality and governance. Ultimately, Collate empowers teams to harness the full potential of their data assets effectively.

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Integrations Supported

Amazon Web Services (AWS)
Databricks
Google Cloud Platform
Snowflake

Integrations Supported

Amazon Web Services (AWS)
Databricks
Google Cloud Platform
Snowflake
Alation
Dagster
Keycloak
Model Context Protocol (MCP)
SAP Analytics Cloud
SQL Compliance Manager
SQL Query Tuner
SQLTreeo Monitoring
SQLWorks
Salesforce
Salesforce Agentforce Communications
Salesforce Agentforce Consumer Goods
Salesforce Agentforce Service
Salesforce CPQ
Shopify
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Contact For Pricing
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Zingg Labs, Inc

Date Founded

2021

Company Location

United States

Company Website

www.zingg.ai/

Company Facts

Organization Name

Collate

Company Location

United States

Company Website

www.getcollate.io

Categories and Features

Master Data Management

Data Governance
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

Data Contract

Not specified

Data Discovery

Not specified

Data Governance

Not specified

Data Management

Not specified

Data Quality

Not specified

Metadata Management

Not specified

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