Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
AccessOwl
No
Apache Iceberg
No
Apache Superset
No
Azure Marketplace
No
BI Book
No
Codd AI
No
Cyral
No
Emgage
No
HPE Ezmeral
No
Hex
No
Integrations
AccessOwl
Yes
Apache Iceberg
Yes
Apache Superset
Yes
Azure Marketplace
Yes
BI Book
Yes
Codd AI
Yes
Cyral
Yes
Emgage
Yes
HPE Ezmeral
Yes
Hex
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Van Lierde & Co
Founded
2026
Country
Switzerland
Website
assetnavigator.io
Vendor Details
Company Name
Dremio
Founded
2015
Country
United States
Website
www.dremio.com
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
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
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 Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Alternatives
No Alternatives