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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 Senzing?

Senzing® offers a cutting-edge entity resolution API software that stands out for its affordability, user-friendliness, and powerful data matching and relationship detection features. With this software, you can seamlessly and automatically identify and resolve records concerning individuals, organizations, and their connections in real time as fresh data enters the system. The comprehensive and highly precise insights provided by Senzing can help lower operational costs while simultaneously opening up avenues for new revenue streams. Senzing's libraries are versatile and can be implemented on-site or in cloud environments, tailored to fit your specific architectural and environmental needs. Importantly, all data remains within your own system and is never transmitted to Senzing, Inc. The software requires very little data preparation, eliminating the need for tuning, training, or specialized entity resolution experts. Additionally, a complimentary proof of concept can be executed in approximately six hours on either AWS or bare metal, and you can experiment with the Senzing API for free on up to 100,000 records. This makes it an attractive option for businesses looking to enhance their data management capabilities without significant upfront investment.

Media

No images available

Media

Integrations Supported

Google Cloud Platform
AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Apache Kafka
Databricks
Docker
Elasticsearch
IBM Db2
MariaDB
Microsoft Azure
Microsoft Fabric
MySQL
Neo4j
Oracle Database
PostgreSQL
SQL Server
SQLite
Snowflake

Integrations Supported

Google Cloud Platform
AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Apache Kafka
Databricks
Docker
Elasticsearch
IBM Db2
MariaDB
Microsoft Azure
Microsoft Fabric
MySQL
Neo4j
Oracle Database
PostgreSQL
SQL Server
SQLite
Snowflake

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

Zingg Labs

Date Founded

2021

Company Location

United States

Company Website

www.zingg.ai/

Company Facts

Organization Name

Senzing

Date Founded

2016

Company Location

United States

Company Website

senzing.com

Categories and Features

Master Data Management

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

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Fabric

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

Master Data Management

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

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No Alternatives

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