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Ratings and Reviews 0 Ratings
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MongoDB AtlasMongoDB Atlas is recognized as a premier cloud database solution, delivering unmatched data distribution and fluidity across leading platforms such as AWS, Azure, and Google Cloud. Its integrated automation capabilities improve resource management and optimize workloads, establishing it as the preferred option for contemporary application deployment. Being a fully managed service, it guarantees top-tier automation while following best practices that promote high availability, scalability, and adherence to strict data security and privacy standards. Additionally, MongoDB Atlas equips users with strong security measures customized to their data needs, facilitating the incorporation of enterprise-level features that complement existing security protocols and compliance requirements. With its preconfigured systems for authentication, authorization, and encryption, users can be confident that their data is secure and safeguarded at all times. Moreover, MongoDB Atlas not only streamlines the processes of deployment and scaling in the cloud but also reinforces your data with extensive security features that are designed to evolve with changing demands. By choosing MongoDB Atlas, businesses can leverage a robust, flexible database solution that meets both operational efficiency and security needs.
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NewformaNewforma is a leading project information management software suite designed to transform collaboration and communication in the architecture, engineering, construction, and owner/operator (AECO) sectors. With products like Newforma Konekt, Project Center, and Constructex, the platform delivers powerful tools for BIM coordination, centralized document management, and efficient submittal workflows. Newforma Konekt’s innovative 2D/3D viewer enables users to quickly unify and explore multiple IFC project models, significantly enhancing BIM collaboration and construction efficiency. By integrating email directly into the project management environment, Newforma ensures streamlined communication, increased accountability, and reduced risk of litigation. The platform supports both cloud-hosted and on-premise deployments, giving firms flexibility in data management and security. Millions of users across thousands of projects rely on Newforma to manage billions of emails, file transfers, and submittals with robust audit trails and dispute resolution capabilities. Customer feedback emphasizes dramatic reductions in response times, cost savings, and workflow efficiencies, with some processes shortened from weeks to hours. Newforma’s comprehensive connectors and integrations enable seamless data unification across applications, simplifying complex project environments. The platform’s strong focus on information governance and risk management helps firms mitigate legal exposure while improving overall project outcomes. Ultimately, Newforma empowers AECO professionals to deliver projects faster, safer, and with greater confidence.
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GuardzGuardz is the unified cybersecurity platform built for MSPs. We consolidate the essential security controls, including identities, endpoints, email, awareness, and more, into one AI-native framework designed for operational efficiency. With an identity-centric approach, an elite threat hunting team, and 24/7 AI + human-led MDR, Guardz transforms cybersecurity from reactive defense into proactive protection.
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What is VoyagerAnalytics?
Each day, an immense volume of publicly available unstructured data is created across various segments of the internet, including the open, deep, and dark web. For any investigative process, the ability to swiftly derive actionable insights from this expansive data reservoir is crucial. VoyagerAnalytics operates as an AI-powered analysis platform, meticulously crafted to navigate through substantial amounts of unstructured data from diverse origins, encompassing the open, deep, and dark web, along with internal databases, to reveal significant insights. This platform equips investigators with the tools to identify social dynamics and concealed connections among different entities, thereby focusing their efforts on the most relevant leads and critical information within a vast array of unstructured data. By optimizing the workflows involved in data collection, analysis, and intelligent visualization, it drastically shortens the time typically necessary for these processes, which might otherwise extend over several months. In addition, it provides vital insights almost in real-time, effectively conserving the resources that would usually be devoted to the retrieval, processing, and analysis of extensive unstructured datasets. Consequently, this advancement not only boosts the productivity of investigations but also enhances the overall quality of the insights obtained, making the entire process more reliable and impactful.
What is Code Ocean?
The Code Ocean Computational Workbench significantly improves usability, coding, data tool integration, and DevOps lifecycle processes by effectively closing technology gaps with an intuitive, ready-to-use interface. Users have immediate access to essential tools such as RStudio, Jupyter, Shiny, Terminal, and Git, while also having the flexibility to choose from a range of widely-used programming languages. This platform accommodates various data sizes and storage types, allowing users to configure and easily generate Docker environments. Additionally, it facilitates one-click access to AWS compute resources, greatly enhancing workflow efficiency. Through the app panel, researchers can seamlessly share their findings by creating and publishing user-friendly web analysis applications for collaborative teams of scientists, all without requiring IT support, programming skills, or command-line expertise. The platform enables the development and deployment of interactive analyses that run effortlessly in standard web browsers. Collaboration is streamlined, and the management of resources is simplified, allowing for easy reuse. By offering an organized application and repository, researchers can efficiently manage, publish, and protect project-based Compute Capsules, data assets, and their findings, fostering a more collaborative and productive research environment. The Code Ocean Computational Workbench’s adaptability and user-friendly nature make it an essential resource for scientists aiming to expand their research capabilities, ultimately paving the way for innovative discoveries. With its powerful features and ease of use, this tool not only enhances research productivity but also encourages interdisciplinary collaboration among researchers.
Integrations Supported
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal
Integrations Supported
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
Docker
Git
GitHub
Jupyter Notebook
Terminal
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
Voyager Labs
Company Location
United States
Company Website
www.voyager-labs.com/platforms/voyageranalytics/
Company Facts
Organization Name
Code Ocean
Company Location
United States
Company Website
codeocean.com/product/
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
