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Ratings and Reviews 0 Ratings
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ActiveBatch Workload AutomationActiveBatch, developed by Redwood, serves as a comprehensive workload automation platform that effectively integrates and automates operations across essential systems such as Informatica, SAP, Oracle, and Microsoft. With features like a low-code Super REST API adapter, an intuitive drag-and-drop workflow designer, and over 100 pre-built job steps and connectors, it is suitable for on-premises, cloud, or hybrid environments. Users can easily oversee their processes and gain insights through real-time monitoring and tailored alerts sent via email or SMS, ensuring that service level agreements (SLAs) are consistently met. The platform offers exceptional scalability through Managed Smart Queues, which optimize resource allocation for high-volume workloads while minimizing overall process completion times. ActiveBatch is certified with ISO 27001 and SOC 2, Type II, employs encrypted connections, and is subject to regular evaluations by third-party testers. Additionally, users enjoy the advantages of continuous updates alongside dedicated support from our Customer Success team, who provide 24/7 assistance and on-demand training, thereby facilitating their journey to success and operational excellence. With such robust features and support, ActiveBatch significantly empowers organizations to enhance their automation capabilities.
What is dataZap?
Data cleansing, migration, integration, and reconciliation can occur smoothly across both cloud environments and on-premise systems.
Operating within OCI, it ensures secure connectivity to Oracle Enterprise Applications regardless of their hosting location, whether in the cloud or on-premises. This cohesive platform streamlines processes related to data and setup migrations, integrations, reconciliations, big data ingestion, and archival management. With an impressive collection of over 9,000 pre-built API templates and web services, it enhances functionality significantly. The data quality engine is equipped with pre-configured business rules that efficiently profile, clean, enrich, and rectify data, upholding high standards throughout. Designed with agility in mind, it supports both low-code and no-code environments, enabling immediate deployment within a fully cloud-enabled framework.
Tailored specifically to facilitate data transfers into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, and many other enterprise applications, it also accommodates a diverse array of legacy systems. The platform features a robust and scalable architecture paired with an intuitive interface, while over 3,000 Smart Data Adapters are available, offering extensive support for various Oracle Applications, which significantly enhances the overall migration experience. Furthermore, this comprehensive solution is ideal for organizations looking to modernize their data processes while ensuring minimal disruption and maximum efficiency.
What is DQ Studio?
DQ Studio™ is a powerful and highly flexible engine designed for master data management. It can connect with more than 130 diverse data sources and targets, empowering users to extract data, execute sophisticated data quality procedures, and relocate information—all within an intuitive low-code/no-code interface. This software enables users to retrieve data from various legacy systems, local installations, or online services, ensuring effortless migration to new settings. With a rich history spanning over 25 years in customer data management, we have faced countless data quality challenges, and our committed team ensures that every project is completed on schedule and within budget. You can have peace of mind knowing that your data is properly formatted, transformed, and enriched, followed by thorough duplicate verification before being inserted or updated in your business applications. The adaptability of DQ Studio™ facilitates smooth links to over 130 sources and targets, allowing users to effectively migrate data, integrate various systems, or consolidate different platforms through our extensive connectors. In an era where data is a crucial asset, having such a detailed and comprehensive tool at your fingertips can greatly improve your organization’s data management effectiveness, thus positioning you for success in a competitive landscape. This ensures that your organization can respond swiftly to changing data needs while maintaining high standards of quality and accuracy.
Integrations Supported
Amazon DynamoDB
Azure Table Storage
Exact Online
Facebook
Firebird
FreshBooks
Gmail
HubSpot Customer Platform
IBM Db2
IBM Informix
Integrations Supported
Amazon DynamoDB
Azure Table Storage
Exact Online
Facebook
Firebird
FreshBooks
Gmail
HubSpot Customer Platform
IBM Db2
IBM Informix
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
ChainSys
Date Founded
1998
Company Location
United States
Company Website
www.chainsys.com
Company Facts
Organization Name
DQ Global
Date Founded
1997
Company Location
United Kingdom
Company Website
www.dqglobal.com/products/dq-studio/
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge