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Description

Data lineage tools typically focus on a single inquiry: tracing the origin and destination of data. However, Asset Navigator offers a comprehensive approach by providing four interlinked perspectives of your IT ecosystem: → Asset view: encompassing applications, AI entities, data repositories, and reports → Component view: illustrating the connections and flows between assets → Dataset view: presenting traditional lineage from source to end-user → Project view: detailing the interactions of a project and identifying shared datasets and components with other projects Viewing the same information from different angles reveals distinct insights. For instance, the dataset view may overlook the impending deactivation of a flow, while the asset view might fail to recognize the dataset that is critical to numerous other components. By integrating all four perspectives, architects, data stewards, analysts, and project managers can collaboratively arrive at informed conclusions tailored to their specific viewpoints. Additionally, your AI agents have the capability to gather documentation from within your environment and relay it through our API, with the control over shared information resting in your hands. This ensures that you maintain oversight of what is disseminated while benefiting from a holistic understanding of your data landscape.

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 No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon Kinesis No 
Amazon Redshift No 
Amazon S3 No 
Apache Kafka No 
Azure Data Lake No 
Azure Synapse Analytics No 
Databricks No 
Gmail No 
Google Cloud BigQuery No 
Google Cloud Pub/Sub No 
Google Cloud Storage No 
Microsoft Teams No 
PagerDuty No 
PostgreSQL No 
SQL Server No 
Slack No 
Snowflake No 
dbt No 

Integrations

Amazon Kinesis Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Kafka Yes 
Azure Data Lake Yes 
Azure Synapse Analytics Yes 
Databricks Yes 
Gmail Yes 
Google Cloud BigQuery Yes 
Google Cloud Pub/Sub Yes 
Google Cloud Storage Yes 
Microsoft Teams Yes 
PagerDuty Yes 
PostgreSQL Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
dbt Yes 

Pricing Details

$99/month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Van Lierde & Co

Founded

2026

Country

Switzerland

Website

assetnavigator.io

Vendor Details

Company Name

Validio

Founded

2019

Website

validio.io

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Alternatives

No Alternatives

Alternatives