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Ratings and Reviews 0 Ratings
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
What is Own Data?
The Own Data platform streamlines the management of your ownership over SaaS data, equipping you with essential tools to ensure your critical information is available, compliant, and secure, while also revealing innovative methods to utilize that data for transformative business initiatives. Although SaaS applications contribute to enhanced safety, security, and accessibility of data, they frequently do not maximize the inherent value of that data for your organization. In the current intricate business environment, the task of data management and deriving significant insights has become increasingly challenging. You may find that the limitations set by your SaaS provider can hinder your ability to fully utilize your own data. It is vital to be aware of the risks linked to potential data exposure and to take proactive measures to strengthen your Salesforce security protocols. Protect your data with automated backups, prompt alerts for any instances of loss or corruption, and intuitive recovery tools. You can easily fill any sandbox or sub-production environment with high-quality data for purposes including development, training, or testing. Moreover, archiving outdated data from production settings can help you avoid additional expenses, boost overall performance, and uphold compliance, ensuring your organization's data strategy remains both effective and efficient. As businesses progress, implementing a comprehensive data management solution becomes crucial for sustaining a competitive advantage, allowing organizations to adapt and thrive in a rapidly changing market landscape.
What is IBM Guardium Quantum Safe?
IBM Guardium Quantum-Safe, accessible through the IBM Guardium Data Security Center, is engineered to track, detect, and prioritize cryptographic weaknesses, offering protection for your data against both traditional threats and the emerging risks posed by quantum computing. As advancements in quantum technology continue to progress, encryption methods that once took centuries to breach may now be compromised in just a few hours, thereby endangering sensitive information safeguarded by existing encryption techniques. Acknowledged as a leader in the realm of quantum-safe solutions, IBM has partnered with key industry figures to establish two newly adopted NIST post-quantum cryptographic standards. Guardium Quantum Safe provides an extensive and integrated perspective on your organization’s cryptographic status, effectively pinpointing vulnerabilities and monitoring remediation efforts. Users can tailor and implement policies that comply with internal security protocols and external regulations, all while seamlessly connecting with enterprise issue-tracking systems to enhance compliance workflows. This forward-thinking strategy guarantees that organizations remain informed about their cryptographic vulnerabilities and are prepared to tackle them promptly. Additionally, the system's comprehensive reporting features allow organizations to maintain transparency and accountability throughout their cryptographic management processes.
Integrations Supported
Akitra Andromeda
Amazon Web Services (AWS)
Certinia ERP Cloud
Copado
Honeywell Safety Manager
IBM Cloud
IBM Guardium
IQVIA
Microsoft Dynamics 365
Microsoft Power Platform
Integrations Supported
Akitra Andromeda
Amazon Web Services (AWS)
Certinia ERP Cloud
Copado
Honeywell Safety Manager
IBM Cloud
IBM Guardium
IQVIA
Microsoft Dynamics 365
Microsoft Power Platform
API Availability
Has API
API Availability
Has API
Pricing Information
$2.90 per month
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
Own Data
Company Location
United States
Company Website
www.owndata.com
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/guardium-quantum-safe
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
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Categories and Features
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance