Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Regardless of the location of your data, it should empower you to achieve improved results. Enhance these outcomes by linking, exploring, and enriching your data effectively. Convert your data into practical insights and actionable information that can drive decisions. Ensure that your data remains accessible for every application you require. By uniting all of your disparate data sources, both structured and unstructured, you can attain a comprehensive view and oversight of your organizational data environment. Leverage no-code and low-code platforms to make data manipulation straightforward and inclusive for everyone. Provide valuable services to your organization by building a network of information that might otherwise stay concealed in separate data silos. The data fabric functions as a bridge, facilitating seamless and secure data transfer among various departments, databases, and platforms, regardless of their foundational technology. Manage expenses effectively while maintaining robust security measures. Avoid allowing your applications to dictate the processing location of your data. Objective 3Sixty is versatile, capable of being implemented either on-premises or in a cloud environment, ensuring flexibility for your organizational needs. This adaptability allows users to choose the most suitable setup based on their specific operational requirements and strategic goals.
Description
As organizations increasingly rely on data for their operations, the integration of this data has emerged as a critical component in achieving successful digital transformation, emphasizing that such transformation cannot occur without the effective handling of data. To navigate this landscape, organizations face several challenges: eliminating information silos within their systems, ensuring agile and rapid processing of diverse and expanding data types—including structured, semi-structured, and unstructured data—managing high data loads, and enabling real-time data ingestion for timely decision-making. Furthermore, they must also keep a close watch on the costs associated with data infrastructure. In this scenario, Stambia offers a comprehensive solution that caters to various data processing needs, capable of being deployed both in the cloud and on-premises, while ensuring effective management and optimization of data ownership and transformation expenses, ultimately empowering organizations to thrive in a data-centric environment. This adaptable approach allows for the seamless integration of data across different platforms, enhancing the overall efficiency of digital operations.
API Access
Has API
No
API Access
Has API
No
Integrations
Alfresco Digital Business Platform
Yes
Amazon S3
Yes
Box
Yes
DocuShare
Yes
DocuWare
Yes
Gmail
Yes
Infor CRM
Yes
Java
Yes
Jira
Yes
Microsoft Exchange
Yes
Integrations
Alfresco Digital Business Platform
No
Amazon S3
No
Box
No
DocuShare
No
DocuWare
No
Gmail
No
Infor CRM
No
Java
No
Jira
No
Microsoft Exchange
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$20,000 one-time fee
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Objective Corporation
Founded
1987
Country
Australia
Website
www.objective.com/products/objective-3sixty
Vendor Details
Company Name
Stambia
Founded
2009
Country
France
Website
www.stambia.com/en/product
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
Product Features
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes