Average Ratings 0 Ratings
Average Ratings 0 Ratings
Similar Products
-
ParasoftParasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.
-
Interfacing Integrated Management System (IMS)Interfacing’s Integrated Management System (IMS ) is an AI-supported platform that brings BPM, QMS, Document Control, and GRC together in one environment. Teams use IMS to design and manage processes, govern documentation, oversee risks, and demonstrate compliance with complete visibility and reliable audit evidence. Built for sectors that depend on strict oversight, such as aerospace, life sciences, public sector, and financial services, IMS offers real-time monitoring, automated workflows, and AI-driven analytics that strengthen quality and lower operational exposure. The system is ISO 27001 certified and validated for 21 CFR Part 11, ensuring secure and compliant use in regulated operations. IMS also provides low-code automation, process mining, audit tools, training management, CAPA workflows, and dashboards that help organizations improve performance and maintain regulatory control. AI enhances governance, improves precision, and supports continuous compliance.
-
DataBuckBig Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
-
GearsetGearset is a full‑featured Salesforce DevOps solution built for the enterprise, giving teams the tools to adopt best practices across every stage of the DevOps lifecycle. From metadata and CPQ deployments to CI/CD, testing, code analysis, sandbox seeding, backups, archiving, and observability, Gearset gives teams unmatched insight and control over their Salesforce workflows. Over 3,000 organizations — including names like McKesson and IBM — rely on Gearset to deliver with security and scale in mind. With advanced governance, detailed audit trails, SOX/ISO/HIPAA support, multi‑team pipelines, integrated security checks, and adherence to ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset combines enterprise‑ready compliance with rapid onboarding and an intuitive interface — all in one platform. Leading firms in finance, healthcare, and tech trust Gearset to power their DevOps initiatives without adding complexity.
-
D&B ConnectYour first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
-
Globalscape Enhanced File Transfer (EFT)Globalscape's Enhanced File Transfer platform (EFT) is a user-friendly managed file transfer software (MFT). Globalscape EFT is trusted by thousands of Windows-Centric Organizations for mission-critical file transfers. EFT offers security and compliance, as well as powerful tools for collaboration, automation, and analysis. It is available in cloud/SaaS EFT Arcus and on-premises EFT deployments. EFT, unlike traditional file transfer software, provides enterprise-level data security and data transfer automation through integration to back-end systems. EFT administration is simple, yet provides complete control over your file transfer system. EFT replaces insecure legacy systems and expensive leased lines with a high-performing, scalable alternative.
-
Servers.com by NexcessServers.com by Nexcess delivers hybrid bare metal cloud hosting solutions that give businesses greater control over their infrastructure while maintaining the flexibility needed to grow. Its portfolio includes Scalable Bare Metal for on-demand capacity, Enterprise Bare Metal for customized deployments, AI Compute for GPU-powered workloads, and Managed Kubernetes for containerized applications. The platform is built to accommodate organizations that require reliable performance, security, and predictable infrastructure management. Through a network of data centers across multiple continents, customers can deploy services closer to their users and minimize latency. Businesses in industries such as gaming, financial services, advertising technology, streaming, SaaS, and Web3 rely on the platform to support high-demand operations. The infrastructure is designed to handle traffic spikes, intensive computing requirements, and geographically distributed workloads. Advanced networking capabilities and direct connectivity options help optimize application responsiveness and uptime. Organizations can combine different infrastructure offerings to create environments that align with their operational and budget requirements. By providing scalable and customizable bare metal solutions, Servers.com helps businesses maintain performance while adapting to changing market demands.
-
Google Cloud PlatformGoogle Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
-
RaimaDBRaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
-
HiveMQThe HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights: 1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems. 2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure. 3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems. 4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability. 5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most. 6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own 7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour 8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
Description
Effectively managing data throughout its lifecycle enables organizations to better achieve their business objectives while minimizing potential risks. It is essential to archive data from obsolete applications and past transaction records, ensuring that access remains available for compliance-related queries and reporting. By scaling data across various applications, databases, operating systems, and hardware platforms, organizations can enhance the security of their testing environments, speed up release cycles, and lower costs. Without proper data archiving, the performance of critical enterprise systems can suffer significantly. Addressing data growth directly at the source not only boosts efficiency but also reduces the risks tied to managing structured data over time. Additionally, safeguarding unstructured data within testing, development, and analytics environments across the organization is crucial for maintaining operational integrity. Ultimately, the absence of a robust data archiving strategy can hinder the effectiveness of vital business systems. Taking proactive steps to manage data effectively is key to fostering a more agile and resilient enterprise.
Description
IRI Data Masking as a Service is a professional services engagement to secure PII.
Step 1: IRI agrees under NDA terms to classify, analyze, and report on the sensitive, at-risk data in your sources. We will discuss an initial cost estimate then hone it with you during data discovery.
Step 2: Transfer the unprotected data to a secure on-premise or cloud-based staging area or provide remote, supervised access to IRI to the data sources(s) at issue. We'll use the tools in the award-winning IRI Data Protector suite to mask that data according to your business rules, on an ad hoc or recurring basis.
Step 3: Our experts can also move newly-masked data to incremental replicas in production or to lower non-production environments. From either, the data is now safe for analytic initiatives, development, testing, or training. Tell us if you need additional services, like re-ID risk scoring (expert determination) of the de-identified data.
This approach provides the benefits of proven data masking solution technology and services without the need to learn and customize new software from scratch. If you do want to use the software in-house, you will have everything pre-configured for easier long-term self-use and modification.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Cassandra
No
Arch Linux
No
Azure Blob Storage
No
EDB Postgres Advanced Server
No
Google Cloud Storage
No
HP-UX
No
HPE Ezmeral Data Fabric
No
Hadoop
No
IBM InfoSphere Optim Data Privacy
Yes
IRI Voracity
No
Integrations
Apache Cassandra
Yes
Arch Linux
Yes
Azure Blob Storage
Yes
EDB Postgres Advanced Server
Yes
Google Cloud Storage
Yes
HP-UX
Yes
HPE Ezmeral Data Fabric
Yes
Hadoop
Yes
IBM InfoSphere Optim Data Privacy
No
IRI Voracity
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1000 per day
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
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
IBM
Founded
1911
Country
United States
Website
www.ibm.com/analytics/optim
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/solutions/data-masking/dmaas
Product Features
Data Governance
Access Control
No
Data Discovery
No
Data Mapping
No
Data Profiling
No
Deletion Management
No
Email Management
No
Policy Management
No
Process Management
No
Roles Management
No
Storage Management
No
Product Features
Data Security
Alerts / Notifications
Yes
Antivirus/Malware Detection
No
At-Risk Analysis
Yes
Audits
No
Data Center Security
No
Data Classification
Yes
Data Discovery
Yes
Data Loss Prevention
Yes
Data Masking
Yes
Data-Centric Security
Yes
Database Security
Yes
Encryption
Yes
Identity / Access Management
No
Logging / Reporting
Yes
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
Yes
Secure Data Transport
No
Sensitive Data Compliance
Yes
