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What is rudol?

You can integrate your data catalog seamlessly, minimize communication challenges, and facilitate quality assurance for all employees in your organization without the need for any installation or deployment. Rudol serves as a comprehensive data platform that empowers businesses to comprehend all their data sources, independent of their origin. By streamlining communication during reporting cycles and addressing urgent issues, it also promotes data quality assessment and the proactive resolution of potential problems for every team member. Every organization can enhance their data ecosystem by incorporating sources from Rudol's expanding roster of providers and standardized BI tools, such as MySQL, PostgreSQL, Redshift, Snowflake, Kafka, S3, BigQuery, MongoDB, Tableau, and PowerBI, with Looker currently in development. Regardless of the source of the data, anyone within the company can effortlessly locate where it is stored, access its documentation, and reach out to data owners through our integrated solutions. This ensures that the entire organization stays informed and connected, fostering a culture of data-driven decision-making.

What is Tree Schema Data Catalog?

This tool is fundamental for managing metadata effectively. In merely five minutes, you can automatically fill your entire catalog! With Data Discovery, you can locate the data you require from any segment of your data ecosystem, ranging from the database itself to the intricate specifics of each field's values. It offers automated documentation sourced from existing data storage, providing premier support for both unstructured and tabular datasets, along with automated governance actions. Data Lineage is another crucial feature, enabling you to investigate the origins of your data and its eventual trajectory. You can assess the impact of changes made, see how they affect both upstream and downstream processes, and visualize the intricate connections and relationships within your data. New API Access is now available, allowing you to manage your data lineage programmatically and ensure your catalog remains up-to-date. You can seamlessly integrate Data Lineage within CICD pipelines to capture values and descriptions directly in your code while analyzing the consequences of any breaking changes. Additionally, a Data Dictionary is provided to help you understand the essential terminology that drives your business, as well as to clearly define the context and scope of these key terms. By using these robust features, organizations can streamline their data management processes, ultimately leading to improved decision-making.

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Integrations Supported

Amazon Redshift
Amazon S3
Apache Airflow
Apache Kafka
Google Cloud BigQuery
Looker
Microsoft Power BI
MongoDB
MySQL
PostgreSQL
Snowflake
Tableau

Integrations Supported

Amazon Redshift
Amazon S3
Apache Airflow
Apache Kafka
Google Cloud BigQuery
Looker
Microsoft Power BI
MongoDB
MySQL
PostgreSQL
Snowflake
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

$99 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

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

rudol

Date Founded

2021

Company Location

Argentina

Company Website

rudol.ai

Company Facts

Organization Name

Tree Schema

Date Founded

2020

Company Location

United States

Company Website

treeschema.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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