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What is IBM Manta Data Lineage?

IBM Manta Data Lineage is an advanced solution that enhances the clarity of data pipelines, allowing organizations to confirm the reliability of their data across models and systems. As businesses increasingly integrate AI into their processes and encounter growing data complexities, the importance of data quality, lineage, and provenance escalates. IBM’s 2023 CEO study highlighted data lineage concerns as the foremost barrier hindering the adoption of generative AI technologies. To tackle these issues, IBM offers an automated data lineage platform capable of thoroughly scanning applications to produce a comprehensive map of data flows. This data is accessible through a user-friendly interface (UI) and other channels, ensuring it meets the needs of both technical and non-technical users. By utilizing IBM Manta Data Lineage, data operations teams can achieve greater visibility and control over their data pipelines, significantly improving their data management capabilities. Furthermore, by enhancing your grasp and application of dynamic metadata, you can ensure that data is managed accurately and efficiently, even within complex systems. This holistic strategy not only reduces potential risks but also encourages a culture of informed, data-driven decision-making in organizations, ultimately leading to more strategic outcomes.

What is Blindata?

Blindata offers a robust program for Data Governance that encompasses a wide range of functions. Its components, including Data Catalog, Data Lineage, and Business Glossary, collectively provide a thorough and cohesive perspective on your data assets. Through Data Classification, data is endowed with semantic significance, while the inclusion of Data Quality Modules, Issue Management, and Data Stewardship functions enhances the dependability and trustworthiness of the data. Additionally, compliance with privacy regulations is supported by features such as a registry of processing activities, centralized management of privacy notices, and a consent registry that incorporates Blockchain technology. The Blindata Agent can seamlessly connect to various data sources to gather metadata, which includes details like data structures, quality metrics, and reverse lineage analysis. With a modular architecture entirely based on APIs, Blindata ensures systematic integration with critical business systems, which may include DBMS, Active Directory, e-commerce platforms, and data infrastructures. Furthermore, Blindata is available for purchase either as a Software as a Service (SaaS) or as an on-premise installation, and it can also be acquired through the AWS Marketplace, making it a versatile option for businesses of all sizes. This flexibility allows organizations to choose the deployment method that best fits their operational needs and technological landscape.

Media

Media

No images available

Integrations Supported

IBM Cloud
SAP Store

Integrations Supported

Amazon DocumentDB
Amazon Redshift
Google Cloud BigQuery
Looker
Microsoft Power BI
MongoDB
PostgreSQL
SQL Server
Salesforce
Spotfire

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$1000/year/user
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

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

IBM

Company Location

United States

Company Website

www.ibm.com/products/manta-data-lineage

Company Facts

Organization Name

Blindata

Date Founded

2017

Company Location

Italy

Company Website

blindata.io

Categories and Features

Data Lineage

Not specified

Categories and Features

Data Catalog

Not specified

Data Classification

Not specified

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Visual & Text Lineage View

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