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What is ETL tools?

Our aim is to develop user-friendly ETL software that is easy to set up, requires no user training, and is ready to operate right after installation. This solution is designed to be user-friendly for those without technical expertise, thereby removing the need for IT support. With our ETL software, organizations of any size can simplify their everyday tasks, enabling them to concentrate on what truly matters: business growth. Users can create data transformations and set business rules, integrating them into packages that include various functions such as reporting, file management, FTP, and email, all of which can be effortlessly scheduled for execution through a combination of straightforward package actions. The Advanced ETL Processor Enterprise equips organizations, including Fortune 100 companies, to develop complex data warehouses and automate intricate business processes with ease. Crafted by specialists with deep knowledge in data warehouse deployment, the Advanced ETL Processor enables advanced data validation and transformation, guaranteeing both reliability and efficiency in data handling. By utilizing this robust tool, businesses can significantly improve their operational performance and effectively foster growth while remaining agile in a competitive landscape. Ultimately, this solution not only enhances productivity but also empowers teams to make informed decisions based on accurate data analysis.

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.

Media

Media

No images available

Integrations Supported

AWS Marketplace
Brightpearl
DataOps DataFlow
Datagaps ETL Validator
Datawiz BES
Firebird
Google Sheets
Greenplum
IBM Informix
MariaDB
Microsoft Access
Microsoft Excel
MySQL
Oracle Database
PostgreSQL
Qlik Cloud Analytics
SQL Server
Salesforce
Sesame Software
Tableau

Integrations Supported

AWS Marketplace
Brightpearl
DataOps DataFlow
Datagaps ETL Validator
Datawiz BES
Firebird
Google Sheets
Greenplum
IBM Informix
MariaDB
Microsoft Access
Microsoft Excel
MySQL
Oracle Database
PostgreSQL
Qlik Cloud Analytics
SQL Server
Salesforce
Sesame Software
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

$100 per user per year
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

DB Software Laboratory

Date Founded

2008

Company Location

United Kingdom

Company Website

www.etl-tools.com

Company Facts

Organization Name

Datagaps

Date Founded

2010

Company Location

United States

Company Website

www.datagaps.com

Categories and Features

ETL

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

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

Popular Alternatives

Popular Alternatives

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