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Description
IBM Manta Data Lineage serves as a robust data lineage solution designed to enhance the transparency of data pipelines, enabling organizations to verify the accuracy of data throughout their models and systems. As companies weave AI into their operations and face increasing data complexity, the significance of data quality, provenance, and lineage continues to rise. Notably, IBM’s 2023 CEO study identified concerns regarding data lineage as the primary obstacle to the adoption of generative AI. To address these challenges, IBM provides an automated data lineage platform that effectively scans applications to create a detailed map of all data flows. This information is presented through an intuitive user interface (UI) and various other channels, catering to both technical experts and non-technical stakeholders. With IBM Manta Data Lineage, data operations teams gain extensive visibility and control over their data pipelines, enhancing their ability to manage data effectively. By deepening your understanding and utilization of dynamic metadata, you can guarantee that data is handled with precision and efficiency across intricate systems. This comprehensive approach not only mitigates risks but also fosters a culture of data-driven decision-making within organizations.
Description
Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon Kinesis
Amazon Redshift
Amazon S3
Apache Kafka
Azure Data Lake
Azure Synapse Analytics
Databricks
Gmail
Google Cloud BigQuery
Google Cloud Pub/Sub
Integrations
Amazon Kinesis
Amazon Redshift
Amazon S3
Apache Kafka
Azure Data Lake
Azure Synapse Analytics
Databricks
Gmail
Google Cloud BigQuery
Google Cloud Pub/Sub
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Country
United States
Website
www.ibm.com/products/manta-data-lineage
Vendor Details
Company Name
Validio
Founded
2019
Website
validio.io
Product Features
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Product Features
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management