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What is Singer?

Singer describes how data extraction scripts, termed "taps," interact with data loading scripts known as "targets," allowing for their flexible combination in the process of transferring data from various sources to numerous destinations. This framework supports effortless data flow across different platforms, including databases, web APIs, files, queues, and practically any other conceivable medium. The user-friendly nature of Singer's taps and targets is apparent, as they are crafted as simple applications that operate using pipes, which removes the necessity for complicated daemons or plugins. Communication among Singer applications is facilitated through JSON, promoting compatibility and straightforward implementation across various programming languages. Furthermore, Singer employs JSON Schema to guarantee solid data types and organized structures when required. Another significant benefit of the Singer framework is its capability to maintain state during successive executions, which allows for efficient incremental data extraction. This versatility and efficiency make Singer a formidable tool in the field of data integration, appealing to developers and data engineers alike. Ultimately, the ease of use combined with robust functionality positions Singer as a leading choice for data synchronization needs.

What is Advanced ETL Processor?

Advanced ETL Processor is a flexible data processing solution that helps organizations connect, transform, and automate information flows between different systems. The software works with many data sources, including spreadsheets, text files, structured formats, APIs, and enterprise databases such as MySQL, PostgreSQL, SQL Server, Oracle, and MariaDB. Its visual configuration interface allows users to design workflows that clean, validate, reshape, and transfer data without complex programming. Advanced ETL Processor is commonly used for system integration, data migration, reporting pipelines, and analytics preparation. Automation and scheduling features ensure that data processes run reliably, reducing manual effort and improving data consistency across business applications. The platform is suitable for both small projects and large-scale enterprise data operations, providing a practical way to manage data movement and transformation in modern IT environments.

Media

Media

Integrations Supported

Google Sheets
MySQL
PostgreSQL
Salesforce
AppsFlyer
Campaign Monitor
Clubspeed
Fullstory
Google Ads
Google Search Console
Invoiced
Onfleet
Oracle Database
Outbrain
Shippo
Taboola
Toggl Track
Xero
Zuora

Integrations Supported

Google Sheets
MySQL
PostgreSQL
Salesforce
AppsFlyer
Campaign Monitor
Clubspeed
Fullstory
Google Ads
Google Search Console
Invoiced
Onfleet
Oracle Database
Outbrain
Shippo
Taboola
Toggl Track
Xero
Zuora

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$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 Version
Free Trial Offered?

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

Singer

Company Website

www.singer.io

Company Facts

Organization Name

DB Software Laboratory

Date Founded

2008

Company Location

United Kingdom

Company Website

www.etl-tools.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

ETL

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

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