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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Datagaps DataOps Suite serves as a robust platform aimed at automating and refining data validation procedures throughout the complete data lifecycle. It provides comprehensive testing solutions for various functions such as ETL (Extract, Transform, Load), data integration, data management, and business intelligence (BI) projects. Among its standout features are automated data validation and cleansing, workflow automation, real-time monitoring with alerts, and sophisticated BI analytics tools. This suite is compatible with a diverse array of data sources, including relational databases, NoSQL databases, cloud environments, and file-based systems, which facilitates smooth integration and scalability. By utilizing AI-enhanced data quality assessments and adjustable test cases, the Datagaps DataOps Suite improves data accuracy, consistency, and reliability, positioning itself as a vital resource for organizations seeking to refine their data operations and maximize returns on their data investments. Furthermore, its user-friendly interface and extensive support documentation make it accessible for teams of various technical backgrounds, thereby fostering a more collaborative environment for data management.

Description

As organizations increasingly rely on data for their operations, the integration of this data has emerged as a critical component in achieving successful digital transformation, emphasizing that such transformation cannot occur without the effective handling of data. To navigate this landscape, organizations face several challenges: eliminating information silos within their systems, ensuring agile and rapid processing of diverse and expanding data types—including structured, semi-structured, and unstructured data—managing high data loads, and enabling real-time data ingestion for timely decision-making. Furthermore, they must also keep a close watch on the costs associated with data infrastructure. In this scenario, Stambia offers a comprehensive solution that caters to various data processing needs, capable of being deployed both in the cloud and on-premises, while ensuring effective management and optimization of data ownership and transformation expenses, ultimately empowering organizations to thrive in a data-centric environment. This adaptable approach allows for the seamless integration of data across different platforms, enhancing the overall efficiency of digital operations.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
Vertica

Integrations

AWS Marketplace
DataOps DataFlow
Datagaps ETL Validator
Vertica

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$20,000 one-time fee
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Datagaps

Founded

2010

Country

United States

Website

www.datagaps.com

Vendor Details

Company Name

Stambia

Founded

2009

Country

France

Website

www.stambia.com/en/product

Product 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

Product Features

ETL

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

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