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SureSyncSureSync is an application designed for file replication and synchronization, offering both one-way and multi-way processing capabilities that can be executed in scheduled or real-time modes. Users can carry out processing through various methods, including UNC path, FTP, or by utilizing our Communications Agent, which boasts features such as real-time monitoring, delta copying, TCP transfers, compression, and encryption; this agent is required to be installed on a Windows machine. Additionally, the software incorporates a file locking feature that facilitates real-time collaboration within SureSync Managed File Transfer (MFT), ensuring that when a user opens a file in one location, it remains read-only for others in different locations until the necessary modifications are saved and synchronized. MFT further enhances functionality with options for archiving, which allows for the creation of versioned backups of files, as well as improved cloud support and additional features. Moreover, SQL Protection is integrated to streamline the backup process for essential SQL databases, ensuring data integrity and availability across platforms. This comprehensive functionality positions SureSync as a robust solution for file management and synchronization needs.
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
What is Oracle Data Masking and Subsetting?
In response to escalating security threats and the implementation of strict privacy regulations, a more vigilant strategy for managing sensitive information has become essential. Oracle Data Masking and Subsetting provides database professionals with a robust solution that not only fortifies security but also simplifies compliance measures and reduces IT costs by sanitizing copies of production data for various applications, including testing and development, while also enabling the elimination of unnecessary data. This innovative tool facilitates the extraction, obfuscation, and sharing of comprehensive and selective data sets with partners, regardless of whether they are internal or external to the organization, thereby maintaining the integrity of the database and ensuring that applications function smoothly. Furthermore, Application Data Modeling plays a crucial role by automatically detecting columns in Oracle Database tables that hold sensitive information using predefined discovery patterns, such as national IDs and credit card numbers, which are critical for protecting personal information. In addition, it is capable of identifying and mapping parent-child relationships structured within the database, significantly improving the efficacy of data management practices. Overall, these features enhance the organization’s ability to safeguard sensitive data while facilitating better data governance.
What is Immuta?
Immuta's Data Access Platform is designed to provide data teams with both secure and efficient access to their data. Organizations are increasingly facing intricate data policies due to the ever-evolving landscape of regulations surrounding data management.
Immuta enhances the capabilities of data teams by automating the identification and categorization of both new and existing datasets, which accelerates the realization of value; it also orchestrates the application of data policies through Policy-as-Code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that both technical and business stakeholders can manage and protect data effectively; additionally, it enables the automated monitoring and auditing of user actions and policy compliance to ensure verifiable adherence to regulations. The platform seamlessly integrates with leading cloud data solutions like Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse.
Our platform ensures that data access is secured transparently without compromising performance levels. With Immuta, data teams can significantly enhance their data access speed by up to 100 times, reduce the number of necessary policies by 75 times, and meet compliance objectives reliably, all while fostering a culture of data stewardship and security within their organizations.
Integrations Supported
IBM Db2
MySQL
SQL Server
Amazon EMR
Amazon Redshift
Apache Hive
Azure Synapse Analytics
Blotout
Databricks Data Intelligence Platform
Google Cloud BigQuery
Integrations Supported
IBM Db2
MySQL
SQL Server
Amazon EMR
Amazon Redshift
Apache Hive
Azure Synapse Analytics
Blotout
Databricks Data Intelligence Platform
Google Cloud BigQuery
API Availability
Has API
API Availability
Has API
Pricing Information
$230 one-time payment
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
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/database/technologies/security/data-masking-subsetting.html
Company Facts
Organization Name
Immuta
Date Founded
2015
Company Location
United States
Company Website
immuta.com
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Cloud Workload Protection
Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
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 Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
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
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Encryption
Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification
HIPAA Compliance
Access Control / Permissions
Audit Management
Compliance Reporting
Data Security
Documentation Management
For Healthcare
Incident Management
Policy Training
Remediation Management
Risk Management
Vendor Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization