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What is Azul Platform Prime?

Zing is the sole JVM that incorporates pauseless garbage collection technology, which guarantees rapid startup times and consistently high performance without experiencing GC pauses or jitter. This unique feature makes Zing particularly well-suited for both Linux and x86 platforms, allowing it to be deployed either on-premises or in the cloud. It is ideal for enterprise applications and production workloads, such as web-facing applications, latency-sensitive trading, and payment processing systems. One vice president of Infrastructure Technology and DevOps noted in a survey that Zing is the only JVM he could depend on without worry. Similarly, a CTO expressed confidence that Azul is the only JVM capable of performing reliably in high-pressure environments. This level of trust underscores Zing's reputation for stability and efficiency in demanding scenarios.

What is Datafiniti?

Datafiniti empowers organizations to harness the power of data by granting seamless access to an extensive array of high-quality and detailed data sets. Our offerings are utilized by both Fortune 500 firms and emerging startups to enhance their analytics capabilities and develop innovative applications. The data set comprises more than 120 million companies from 196 different countries across various sectors, featuring firmographics, customer reviews, and additional relevant information. If you are seeking insights about a specific company, our business API or user-friendly web portal enables you to tap into our comprehensive business database. By doing so, you can leverage our extensive collection of companies sourced from hundreds of online directories and review platforms. Not only can you integrate firmographics and reviews, but Datafiniti also curates a diverse range of business details for every entry in our catalog, recognizing the distinctiveness of each organization. This makes it easier than ever for businesses to find the data they need to thrive in a competitive landscape.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Neon Fundraise

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Neon Fundraise

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

Azul Systems

Date Founded

2002

Company Location

United States

Company Website

www.azul.com/products/prime/

Company Facts

Organization Name

Datafiniti

Date Founded

2011

Company Location

United States

Company Website

datafiniti.co

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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