Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Advanced ETL Processor is a robust data integration platform created for IT professionals who need to move, transform, and manage data across multiple systems in an automated way.
It works with a broad range of file formats and data sources, including Excel, CSV, XML, JSON, QVD/QVX, REST APIs, and leading database systems such as MySQL, PostgreSQL, SQL Server, Oracle, and MariaDB. Using its visual workflow designer, users can configure data pipelines that perform extraction, transformation, validation, and loading with flexible mapping, filtering, and processing logic.
The software is widely used for database synchronization, application integration, reporting pipelines, and analytics preparation. Built-in scheduling and automation features help organizations maintain consistent data flows, reduce manual effort, and improve overall data reliability.
Advanced ETL Processor supports both straightforward data transfers and complex enterprise integration scenarios, without requiring extensive custom coding.
Description
The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Greenplum
Yes
Qlik Cloud Analytics
Yes
Acxiom Real Identity
No
Apache Atlas
No
Apache Kudu
No
Bacula Enterprise
No
BigID
No
BlueSapling
No
Cleo Integration Cloud
No
Deep.BI
No
Integrations
Greenplum
Yes
Qlik Cloud Analytics
Yes
Acxiom Real Identity
Yes
Apache Atlas
Yes
Apache Kudu
Yes
Bacula Enterprise
Yes
BigID
Yes
BlueSapling
Yes
Cleo Integration Cloud
Yes
Deep.BI
Yes
Pricing Details
$690 per user per year
Single license = one user within the same organization.
Site license = unlimited number of users within one or group of buildings within one city
Site license = unlimited number of users within one or group of buildings within one city
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
DB Software Laboratory
Founded
2008
Country
United Kingdom
Website
www.etl-tools.com
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
hadoop.apache.org
Product Features
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
Yes