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Ratings and Reviews 2 Ratings
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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.
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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.
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PulsewayPulseway is a comprehensive remote monitoring and management (RMM) solution designed for IT departments and managed service providers (MSPs), granting users full control over their IT environments. The software is user-friendly and can be deployed rapidly, ensuring that IT challenges are detected, tracked, and addressed promptly. With the Pulseway dashboard, users benefit from extensive visibility, sophisticated automation capabilities, remote management options, as well as OS and third-party patch management. Additionally, it offers network monitoring, IT automation, custom reporting, complete command traceability, and email notifications, among various other functionalities. The platform also provides optional add-ons for endpoint protection, business management (PSA), backup and disaster recovery solutions, along with integrations with leading antivirus providers, enhancing the efficiency and effectiveness of your IT operations. Each day, more than 6,000 customers globally rely on Pulseway to oversee their IT infrastructure, making it a trusted choice in the industry. To experience its capabilities, you can sign up for a complimentary 14-day trial.
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 Imperva Data Security Fabric?
Ensure comprehensive protection for your data with a strong, enterprise-grade security solution that integrates across multicloud, hybrid, and on-premises settings, catering to various data types. Strengthen security protocols across multiple platforms while effectively discovering and classifying structured, semi-structured, and unstructured data. Evaluate and rank data risks by taking into account the context of incidents and the possibility of adding new features. Simplify data management through a centralized service or dashboard that provides a cohesive overview. Protect against unauthorized data exposure and effectively prevent breaches. Streamline security, compliance, and governance processes related to data to make them more straightforward and efficient. Establish a unified view to gain insights into vulnerable data and users while actively managing a Zero Trust framework and enforcing applicable policies. Utilize automation and workflows to conserve both time and resources, ensuring compatibility with a diverse range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Meet not only your present needs but also anticipate future integrations as your cloud use cases grow, thereby refining your overall data security strategy. Additionally, by adopting these strategies, your organization can greatly enhance its defense against various data-related risks and threats, reinforcing its overall cybersecurity posture.
Integrations Supported
Akitra Andromeda
Amazon Web Services (AWS)
Axonius
Certinia ERP Cloud
Copado
Honeywell Safety Manager
IBM Cloud
IQVIA
Mage Static Data Masking
Microsoft Dynamics 365
Integrations Supported
Akitra Andromeda
Amazon Web Services (AWS)
Axonius
Certinia ERP Cloud
Copado
Honeywell Safety Manager
IBM Cloud
IQVIA
Mage Static Data Masking
Microsoft Dynamics 365
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
Imperva
Date Founded
2002
Company Location
United States
Company Website
www.imperva.com/products/data-security-fabric/
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 Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data 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