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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
Effortlessly create and manage ETL pipelines using Boltic, allowing you to extract, transform, and load data from various sources to any target without needing to write any code. With advanced transformation capabilities, you can build comprehensive data pipelines that prepare your data for analytics. By integrating with over 100 pre-existing integrations, you can seamlessly combine different data sources in just a few clicks within a cloud environment. Boltic also offers a No-code transformation feature alongside a Script Engine for those who prefer to develop custom scripts for data exploration and cleaning. Collaborate with your team to tackle organization-wide challenges more efficiently on a secure cloud platform dedicated to data operations. Additionally, you can automate the scheduling of ETL pipelines to run at set intervals, simplifying the processes of importing, cleaning, transforming, storing, and sharing data. Utilize AI and ML to monitor and analyze crucial business metrics, enabling you to gain valuable insights while staying alert to any potential issues or opportunities that may arise. This comprehensive solution not only enhances data management but also fosters collaboration and informed decision-making across your organization.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
MySQL
Yes
Oracle Database
Yes
PostgreSQL
Yes
SQL Server
Yes
Salesforce
Yes
Tableau
Yes
Amazon Athena
No
Brightpearl
Yes
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
MySQL
Yes
Oracle Database
Yes
PostgreSQL
Yes
SQL Server
Yes
Salesforce
Yes
Tableau
Yes
Amazon Athena
Yes
Brightpearl
No
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
$249 per month
Free Trial
Yes
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
Yes
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)
Yes
In Person
No
Vendor Details
Company Name
DB Software Laboratory
Founded
2008
Country
United Kingdom
Website
www.etl-tools.com
Vendor Details
Company Name
Boltic
Country
United States
Website
www.boltic.io
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
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No