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What is Xplenty?

Xplenty serves as a flexible software tool for data integration and delivery, aiming to support small to medium enterprises as well as larger corporations by enabling the preparation and migration of data to the cloud for analysis. Among its notable features are data transformation capabilities, a user-friendly drag-and-drop interface, and smooth integration with over 100 data storage solutions and SaaS applications. Developers find it easy to weave Xplenty into their current data solution frameworks. Moreover, the platform allows users to schedule various tasks while efficiently monitoring their progress and status. This comprehensive functionality positions Xplenty as a powerful ally for users looking to streamline their data workflows and improve their analytical operations, ultimately driving better business insights. Additionally, the platform's adaptability makes it suitable for various industries, allowing organizations to tailor their data processes to meet specific needs.

What is Impetus?

The enterprise struggles to establish a unified perspective due to various information sources functioning independently. This challenge is further complicated by the presence of numerous distinct solutions, leading to confusion. We offer top-notch solutions and services designed to address data and AI challenges, allowing you to focus on your core business activities. Our offerings include ready-to-use transformation accelerators tailored for systems like Teradata Netezza, Ab Initio, and Oracle, as well as other traditional data warehouses. You can assess legacy code and examine the transformations related to ETL processes, data warehousing, and analytics. Services such as ingestion, CDC, streaming analytics, ETL, data preparation, and advanced analytics are also available. We enable the creation and deployment of scalable data science and AI models across various platforms while incorporating multiple data sources. Furthermore, it is possible to construct a data lake that is not only scalable and secure but also agile and flexible, ensuring effective governance. By utilizing best practices and accelerators, organizations can enhance their cloud adoption, streamline implementation processes, and achieve a higher return on investment. This comprehensive approach ultimately supports seamless integration and improved operational efficiency across the enterprise.

Media

Media

Integrations Supported

Oracle Cloud Infrastructure
Amplitude
Apache Cassandra
AskNicely
Branch
Eventbrite
GitHub
GoodData
Google Ads
Harvest
Heap
Help Scout
Iterable
Oracle Responsys
Ortto
Qlik Cloud Analytics
Snowflake
Stackreaction
Trello
Twilio

Integrations Supported

Oracle Cloud Infrastructure
Amplitude
Apache Cassandra
AskNicely
Branch
Eventbrite
GitHub
GoodData
Google Ads
Harvest
Heap
Help Scout
Iterable
Oracle Responsys
Ortto
Qlik Cloud Analytics
Snowflake
Stackreaction
Trello
Twilio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Xplenty Data Integration

Date Founded

2012

Company Location

United States

Company Website

www.xplenty.com

Company Facts

Organization Name

Impetus

Date Founded

1996

Company Location

United States

Company Website

www.impetus.com

Categories and Features

ETL

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

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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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