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What is Qvu Data Service?

Qvu Data Service stands out as a multifunctional platform for developing and overseeing ad-hoc queries and API data services, boasting a user-friendly web interface that simplifies the design and storage of queries. It also provides REST API endpoints that facilitate both user and application access to stored query documents, delivering results in either tabular or JSON formats. A significant emphasis on security distinguishes Qvu Data Service, as it integrates role-based access controls for data sources, table columns, and document groups, and accommodates various authentication methods like Basic and OIDC. This holistic security framework guarantees that users can interact with their data safely while experiencing a smooth and efficient workflow. Furthermore, the platform's flexibility makes it suitable for diverse user needs, ensuring that both novice and experienced users can leverage its capabilities effectively.

What is Amundsen?

Unlock the potential of your data by fostering confidence for more impactful analysis and modeling. By breaking down barriers between information silos, you can significantly boost productivity. Instantly access insights into your data while also observing how your colleagues are utilizing it. Enjoy a seamless search experience for data within your organization using an intuitive text-based interface. The search functionality leverages an algorithm similar to PageRank, allowing for personalized recommendations based on various factors such as names, descriptions, tags, and user interactions with tables and dashboards. Build trust in your data by depending on automated, curated metadata, which offers comprehensive details about tables and columns, insights on frequent users, timestamps of the latest updates, relevant statistics, and, when allowed, previews of the data. Improve data management efficiency by establishing connections to the ETL jobs and code that create the datasets. Provide clear definitions for table and column descriptions to reduce unnecessary debates about which data to use and the meanings of individual columns. Identify which datasets are most frequently accessed, owned, or bookmarked by your peers, thereby enhancing collaboration. Furthermore, gain insights into popular queries linked to a specific table by examining dashboards created from that dataset, which enhances your analytical capabilities. Ultimately, this holistic strategy ensures that your data-driven choices are informed and anchored in trustworthy information, leading to more effective outcomes.

Media

Media

Integrations Supported

AWS Glue
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
Apache Druid
Apache Hive
Apache Spark
Datafold
Delta Lake
Elasticsearch
Google Cloud BigQuery
Google Cloud Platform
IBM Db2
MySQL
OpenMetadata
Oracle Cloud Infrastructure
PostgreSQL
SQL Server
Snowflake
Vertica

Integrations Supported

AWS Glue
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
Apache Druid
Apache Hive
Apache Spark
Datafold
Delta Lake
Elasticsearch
Google Cloud BigQuery
Google Cloud Platform
IBM Db2
MySQL
OpenMetadata
Oracle Cloud Infrastructure
PostgreSQL
SQL Server
Snowflake
Vertica

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

rbtdesign

Date Founded

2023

Company Location

United States

Company Website

rbtdesign.org

Company Facts

Organization Name

Amundsen

Company Location

United States

Company Website

www.amundsen.io

Categories and Features

Data Management

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

Categories and Features

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