CastorDoc

About CastorDoc

Introducing CastorDoc – a modern data catalog that syncs metadata across entire data stack. With CastorDoc, professionals everywhere can find, understand and trust their data. Built for rapid and easy adoption, it allows to move quickly with minimal disruption to workflow. Keep everyone in the loop with automated updates from any source or destination, meaning no one is left behind. With CastorDoc, everything is connected. It brings order to the chaos of managing multiple databases and their associated reports. From automating security rules to sharing insights with key trends and correlations - all organized and navigable from one place - CastorDoc is truly a unified command center for all data needs. The interface makes it simple to get started, adding tags for each entry on the fly and sorting documents easily by category or type.

Pricing

Free Trial Available
Starts at $10000.00. Offers Custom plan.
View Detailed Pricing

Platforms Supported

Browser Based (Cloud)

Organization Types Supported

All (Small, Medium, Large)

API Support

NA

Modes of Support

Online

CastorDoc Pricing

Free Trial

Available

Pricing Options

Premium Plans ( Subscription / Quotation Based )

Pricing Plans

Starter $10,000.00 $10,000.00 per year

Features

Users included - 15
Admins included - 1
Number of integrations included - 2
Data Assets (Tables, Dashboards) Included - 2,500
Data Warehouse Integrations
Data Visualization Integrations
DBT Integration
Refresh Frequency - Weekly
Advanced Search
Column & Table Lineage
Query History
Data Documentation Version Control
Support - Email & Chat

Premium Custom

Features

Users included - 30
Admins included - 2
Number of integrations included - 3
Data Assets (Tables, Dashboards) Included - 5000
Data Warehouse Integrations
Data Visualization Integrations
DBT Integration
Slack Integration
Refresh Frequency - Daily
Advanced Search
Column & Table Lineage
Query History
Data Documentation Version Control
Push Back Documentation (Warehouse, BI tool, dbt)
Support - Customer Success
Onboarding Specialist

Enterprise Custom

Features

Users included - 50
Admins included - 5
Number of integrations included - 3
Data Assets (Tables, Dashboards) Included - 10,000
Data Warehouse Integrations
Data Visualization Integrations
DBT Integration
Slack Integration
Refresh Frequency - Unlimited
Advanced Search
Column & Table Lineage
Query History
Data Documentation Version Control
Push Back Documentation (Warehouse, BI tool, dbt)
Support - Customer Success
Onboarding Specialist
API Access
Security
Custom SLAs
On-Premise Available
Role-Based Access Controls

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Disclaimer: The pricing details were last updated on 07/06/2023 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

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CastorDoc Reviews

User Rating

4.9/5 (Based on 60 Ratings)

Rating Distribution

Excellent
86.7%
Very Good
13.3%
Average
0%
Poor
0%
Terrible
0%

User Sentiments

Automated Data Lineage, User-Friendly Interface, Improved Data Discovery, Comprehensive Data Documentation

Limited Functionality for Some Integrations, Occasional Bugs and Downtime, Lack of Data Quality Integration, Limited Metadata Export Functionality

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Review Summary

Castor Doc is praised for its user-friendly interface, data cataloging abilities, and intuitive lineage mapping features. Users particularly like its automated data cataloging and the AI query explainer. While some find certain integrations cumbersome, overall, users appreciate the platform's effectiveness in streamlining data discovery and governance. While Castor Doc is still under development, users acknowledge its rapid evolution and responsive support team, highlighting its potential to become a comprehensive data solution.

Pros

Automated data catalog simplifies data discovery for business users.
Robust table and field lineage features enable easy data change impact evaluation.
Provides a centralized repository for data documentation and knowledge sharing.
Users praise the intuitive UI and userfriendly search functionality.

Cons

Some integrations are cumbersome, but ultimately function as expected.
Metadata access is limited, requiring external SQL queries for comprehensive analysis.
Rapid product development leads to challenges keeping up with updates.
Lack of detailed downstream node export options limits data exploration.