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What is DQOps?

DQOps serves as a comprehensive platform for monitoring data quality, specifically designed for data teams to identify and resolve quality concerns before they can adversely affect business operations. With its user-friendly dashboards, users can track key performance indicators related to data quality, ultimately striving for a perfect score of 100%. Additionally, DQOps supports monitoring for both data warehouses and data lakes across widely-used data platforms. The platform comes equipped with a predefined list of data quality checks that assess essential dimensions of data quality. Moreover, its flexible architecture enables users to not only modify existing checks but also create custom checks tailored to specific business requirements. Furthermore, DQOps seamlessly integrates into DevOps environments, ensuring that data quality definitions are stored in a source repository alongside the data pipeline code, thereby facilitating better collaboration and version control among teams. This integration further enhances the overall efficiency and reliability of data management practices.

What is Ardent?

Ardent (found at tryardent.com) is an innovative AI data engineering platform that streamlines the creation, upkeep, and expansion of data pipelines with little need for human oversight. Users can issue natural language commands, allowing the system to independently handle implementation, infer data schemas, track data lineage, and troubleshoot errors. With its ready-to-use ingestors, Ardent allows for quick and easy connections to multiple data sources such as warehouses, orchestration systems, and databases, often completed in under 30 minutes. Furthermore, it features automated debugging tools that utilize online resources and documentation, having been trained on a vast array of real-world engineering scenarios to tackle intricate pipeline issues without manual input. Built for production-level environments, Ardent efficiently manages a large volume of tables and pipelines simultaneously, executes jobs in parallel, triggers self-healing workflows, and maintains data quality through continuous monitoring, all while offering operational support via APIs or a user-friendly interface. This distinct methodology not only boosts operational efficiency but also enables teams to prioritize strategic planning over mundane technical responsibilities, fostering a more productive work environment. Ardent's robust capabilities set it apart in the realm of data engineering solutions.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Airflow
MySQL
PostgreSQL
Snowflake
Amazon Redshift
Apache Spark
Azure Databricks
Azure SQL Database
Looker
Microsoft Azure
MongoDB
Oracle Database
Presto
SQL Server
SingleStore
Slack
Supabase
Trino
Visual Studio Code

Integrations Supported

Amazon Web Services (AWS)
Apache Airflow
MySQL
PostgreSQL
Snowflake
Amazon Redshift
Apache Spark
Azure Databricks
Azure SQL Database
Looker
Microsoft Azure
MongoDB
Oracle Database
Presto
SQL Server
SingleStore
Slack
Supabase
Trino
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

$499 per month
Free Trial Offered?
Free Version

Pricing Information

Free
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

DQOps

Date Founded

2021

Company Location

Poland

Company Website

dqops.com

Company Facts

Organization Name

Ardent

Date Founded

2024

Company Location

United States

Company Website

tryardent.com

Categories and Features

Data Quality

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

Categories and Features

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