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Description

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

Description

Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received. The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc. Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS CloudFormation No 
Amazon RDS No 
Amazon Simple Queue Service (SQS) No 
Apache Kafka No 
Azure Marketplace Yes 
Docker No 
Elasticsearch No 
Google Cloud Platform No 
IBM Db2 No 
MariaDB No 
Microsoft Azure No 
Model Context Protocol (MCP) Yes 
MySQL No 
Neo4j No 
Oracle Database No 
PostgreSQL No 
RabbitMQ No 
SQL Server No 
SQLite No 
Salesforce Yes 

Integrations

AWS CloudFormation Yes 
Amazon RDS Yes 
Amazon Simple Queue Service (SQS) Yes 
Apache Kafka Yes 
Azure Marketplace No 
Docker Yes 
Elasticsearch Yes 
Google Cloud Platform Yes 
IBM Db2 Yes 
MariaDB Yes 
Microsoft Azure Yes 
Model Context Protocol (MCP) No 
MySQL Yes 
Neo4j Yes 
Oracle Database Yes 
PostgreSQL Yes 
RabbitMQ Yes 
SQL Server Yes 
SQLite Yes 
Salesforce No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free evaluation up to 100K records or more on request. Production pricing starts at $37,440 /year for 10M records.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

K2View

Founded

2009

Country

United States

Website

k2view.com

Vendor Details

Company Name

Senzing

Founded

2016

Country

United States

Website

senzing.com

Product Features

Customer Data Platforms (CDP)

Behavioral Analytics No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration No 
Data Matching No 
GDPR Compliance No 
Personalization No 
Predictive Modeling No 

Data Fabric

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

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management Yes 
Match & Merge No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Data Privacy Management

Access Control No 
CCPA Compliance No 
Consent Management No 
Data Mapping No 
GDPR Compliance No 
Incident Management No 
PIA / DPIA No 
Policy Management No 
Risk Management No 
Sensitive Data Identification No 

GDPR Compliance

Access Control No 
Consent Management No 
Data Mapping No 
Incident Management No 
PIA / DPIA No 
Policy Management No 
Risk Management No 
Sensitive Data Identification No 

Integration

Dashboard No 
ETL - Extract / Transform / Load Yes 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

iPaaS

AI / Machine Learning No 
Cloud Data Integration No 
Dashboard No 
Data Quality Control No 
Data Security No 
Drag & Drop No 
Embedded iPaaS No 
Integration Management No 
Pre-Built Connectors No 
White Label No 
Workflow Management No 

Master Data Management

Data Governance No 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge No 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization No 

Product Features

AML

Behavioral Analytics No 
Case Management Yes 
Compliance Reporting No 
Identity Verification Yes 
Investigation Management Yes 
PEP Screening Yes 
Risk Assessment Yes 
SARs Yes 
Transaction Monitoring Yes 
Watch List Yes 

Customer Data Platforms (CDP)

Behavioral Analytics No 
Campaign Management No 
Customer Profiles No 
Customer Segmentation No 
Data Integration Yes 
Data Matching Yes 
GDPR Compliance Yes 
Personalization No 
Predictive Modeling No 

Data Analysis

Data Discovery Yes 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Fabric

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

Master Data Management

Data Governance No 
Data Masking No 
Data Source Integrations Yes 
Hierarchy Management No 
Match & Merge Yes 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping Yes 
Visualization No 

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