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Ratings and Reviews 2 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.
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Firmex Virtual Data RoomFirmex data rooms enable a greater number of transactions, due diligence activities, and compliance workflows than any other solution available. Annually, more than 20,000 new data rooms are launched, with countless organizations depending on Firmex to oversee their most sensitive projects and operations. The platform's secure and powerful data rooms, along with top-tier customer support, ensure that you maintain full control over your essential documents. Firmex provides various pricing options, which include unlimited subscriptions for data rooms as well as transaction-based pricing. Fully compliant with SOC 2, GDPR, and HIPAA regulations, Firmex also offers features such as single sign-on (SSO), API integrations, and redaction capabilities, ensuring a comprehensive solution for managing sensitive information. With its user-friendly interface and robust security measures, Firmex stands out as a leading choice for businesses looking to streamline their data management processes.
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Netwrix AuditorNetwrix Auditor is a visibility solution that empowers you to manage modifications, settings, and access across hybrid IT landscapes. Additionally, it alleviates the pressure of upcoming compliance audits. You can track all alterations in both your cloud and on-premises systems, encompassing Active Directory, Windows Servers, file storage, Exchange, VMware, and various databases. Simplifying your inventory and reporting processes is achievable, and you can effortlessly confirm that your access and identity configurations align with the established good state by conducting regular reviews. This proactive approach not only enhances security but also boosts overall operational efficiency.
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StarTreeStarTree Cloud functions as a fully-managed platform for real-time analytics, optimized for online analytical processing (OLAP) with exceptional speed and scalability tailored for user-facing applications. Leveraging the capabilities of Apache Pinot, it offers enterprise-level reliability along with advanced features such as tiered storage, scalable upserts, and a variety of additional indexes and connectors. The platform seamlessly integrates with transactional databases and event streaming technologies, enabling the ingestion of millions of events per second while indexing them for rapid query performance. Available on popular public clouds or for private SaaS deployment, StarTree Cloud caters to diverse organizational needs. Included within StarTree Cloud is the StarTree Data Manager, which facilitates the ingestion of data from both real-time sources—such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda—and batch data sources like Snowflake, Delta Lake, Google BigQuery, or object storage solutions like Amazon S3, Apache Flink, Apache Hadoop, and Apache Spark. Moreover, the system is enhanced by StarTree ThirdEye, an anomaly detection feature that monitors vital business metrics, sends alerts, and supports real-time root-cause analysis, ensuring that organizations can respond swiftly to any emerging issues. This comprehensive suite of tools not only streamlines data management but also empowers organizations to maintain optimal performance and make informed decisions based on their analytics.
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Files.comOver 6,000 organizations rely on Files.com to facilitate the automation and security of vital data transfers. We are deeply committed to ensuring security, compliance, reliability, and performance, allowing your essential business operations to function seamlessly every time. With our platform, you can effortlessly manage transfer workflows without the need for coding or scripting, enabling smooth onboarding of workloads and partners. We accommodate standard file transfer protocols such as FTP, SFTP, and AS2 for collaborating with external partners, while also offering native applications designed for optimal performance during internal transfers. As a fully Cloud-Native SaaS solution, you won't need to purchase or maintain any servers, and there’s no installation process required, as high availability and redundancy are inherently integrated at no additional cost. Our comprehensive InfoSec Program undergoes annual audits by Kirkpatrick Price, a respected CPA firm specializing in information security, which evaluates the entire spectrum of Files.com’s operations rather than just focusing on data centers, ensuring transparency and reliability—contrast this with smaller competitors who may misrepresent their audit results. Among our technical features are encryption for data at rest and in transit, four variations of two-factor authentication, nine integrations for enterprise identity (SSO), customizable password and session policies, along with an impressive “A+” rating from Qualys SSL Labs for security. This commitment to security and performance distinguishes us in the competitive landscape.
What is PHEMI Health DataLab?
In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including:
It allows analysts to engage with data while adhering to strict privacy standards.
It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively.
It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks.
It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access.
It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management.
Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.
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
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Axonius
Cloudera
Hadoop
Mage Static Data Masking
Microsoft Azure
Microsoft Power BI
Integrations Supported
Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Axonius
Cloudera
Hadoop
Mage Static Data Masking
Microsoft Azure
Microsoft Power BI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
PHEMI Systems
Date Founded
2013
Company Location
Canada
Company Website
www.phemi.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
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
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 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