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What is NeoXam DataHub?

As the ultimate authority on data generated or used by financial organizations, NeoXam DataHub provides an array of specialized functional modules designed to cater to the distinct requirements of diverse financial institutions, such as investment and retail banks, asset managers, brokers, custodians, and fund administrators. It efficiently consolidates and centralizes a securities master file gathered from various sources, while also enhancing the management of business entities, including counterparties and issuers, and creating a unified customer master file. In addition, it integrates all trades and positions into a single, comprehensive repository, which leads to significant improvements in risk management and compliance oversight. The platform’s adaptability enables it to tackle a wide range of challenges encountered by financial institutions, which helps them stay competitive and compliant in a fast-paced market. As a result, NeoXam DataHub empowers organizations to make informed decisions and maintain operational excellence.

What is DataHub?

DataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.

Media

Media

Integrations Supported

Amazon S3
Apache Hive
Apache Hudi
Apache Kafka
Delta Lake
Feast
Great Expectations
Iceberg
LDAP Admin Tool
Looker
MariaDB
Microsoft Azure
Microsoft Power BI
Okta
Oracle Cloud Infrastructure
PostgreSQL
Redash
SAP HANA
SQL Server
Slack

Integrations Supported

Amazon S3
Apache Hive
Apache Hudi
Apache Kafka
Delta Lake
Feast
Great Expectations
Iceberg
LDAP Admin Tool
Looker
MariaDB
Microsoft Azure
Microsoft Power BI
Okta
Oracle Cloud Infrastructure
PostgreSQL
Redash
SAP HANA
SQL Server
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

NeoXam

Date Founded

2013

Company Location

France

Company Website

www.neoxam.com/solutions/data-management/

Company Facts

Organization Name

DataHub

Company Location

United States

Company Website

datahubproject.io

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

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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