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What is Datagaps DataOps Suite?

The Datagaps DataOps Suite is a powerful platform designed to streamline and enhance data validation processes across the entire data lifecycle. It offers an extensive range of testing solutions tailored for functions like ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) initiatives. Among its key features are automated data validation and cleansing capabilities, workflow automation, real-time monitoring with notifications, and advanced BI analytics tools. This suite seamlessly integrates with a wide variety of data sources, which include relational databases, NoSQL databases, cloud-based environments, and file systems, allowing for easy scalability and integration. By leveraging AI-driven data quality assessments and customizable test cases, the Datagaps DataOps Suite significantly enhances data accuracy, consistency, and reliability, thus becoming an essential tool for organizations aiming to optimize their data operations and boost returns on data investments. Additionally, its intuitive interface and comprehensive support documentation ensure that teams with varying levels of technical expertise can effectively utilize the suite, promoting a cooperative atmosphere for data management across the organization. Ultimately, this combination of features empowers businesses to harness their data more effectively than ever before.

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.

Media

No images available

Media

Integrations Supported

AWS Marketplace
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Azure Databricks
DataOps DataFlow
Datagaps ETL Validator
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
MySQL
Oracle Database
PostgreSQL
Presto
SingleStore
Slack
Snowflake
Visual Studio Code

Integrations Supported

AWS Marketplace
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Azure Databricks
DataOps DataFlow
Datagaps ETL Validator
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
MySQL
Oracle Database
PostgreSQL
Presto
SingleStore
Slack
Snowflake
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$499 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

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com

Company Facts

Organization Name

DQOps

Date Founded

2021

Company Location

Poland

Company Website

dqops.com

Categories and Features

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Data Quality

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Quality

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

Popular Alternatives

Popular Alternatives

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