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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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 

Screenshots View All

Screenshots View All

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 
Determined AI No 
Flex83 No 
Hosting UK No 
MLlib No 
NFVgrid No 
Pandora FMS No 
Qlik Sense No 
SAS MDM No 
SingleStore No 
lakeFS 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 
Determined AI Yes 
Flex83 Yes 
Hosting UK Yes 
MLlib Yes 
NFVgrid Yes 
Pandora FMS Yes 
Qlik Sense Yes 
SAS MDM Yes 
SingleStore Yes 
lakeFS 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
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 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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