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Ratings and Reviews 0 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.
What is UQube?
By utilizing an intuitive spreadsheet application, various professionals such as field representatives, payer marketers, brand marketers, pricing specialists, and managed market experts can enter data into a permission-based framework that compiles information for the headquarters. This aggregated data can easily be disseminated through UQ subscription reports or other third-party reporting tools, making it simple to generate essential reports with just a few clicks. Users have the ability to prioritize key performance indicators, pinpoint critical metrics, and funnel information into multiple reporting systems. Furthermore, it's crucial to protect sensitive data with individualized access controls throughout both the collection and sharing processes. It's also important to address any discrepancies that may occur between traditional spreadsheets and more robust enterprise solutions. This system not only fosters the integration, coordination, and synchronization of data across various platforms, enhancing both efficiency and precision, but it also bolsters collaboration among teams. Ultimately, this comprehensive approach ensures that all stakeholders remain informed with the most pertinent and current information available. This commitment to streamlined communication may significantly boost operational effectiveness and decision-making processes.
What is Baidu Sugar?
Sugar establishes fee structures that vary according to the specific organization. Each user can belong to several organizations, while each organization has the capacity to include multiple users. Furthermore, organizations are able to create various spaces, usually categorized by project or team, to enhance management efficiency. It's vital to understand that data remains isolated across different spaces, with each space functioning under its own set of permission controls. When users engage with Sugar for data analysis and visualization, they are required to specify the original data source, which refers to the location of the data, typically illustrated by the connection details such as host, port, username, and password of the database. In addition, dashboards act as a visual interface that highlights impressive visual effects, making them well-suited for large screen displays for continuous data visualization. An organized approach to managing spaces and permissions is essential for maximizing the effectiveness of data management and visualization efforts in Sugar. This structured organization not only enhances user experience but also contributes significantly to streamlined operations within the platform.
Integrations Supported
Apache Hive
Apache Spark
Greenplum
MySQL
Oracle Database
PostgreSQL
Presto
SAP HANA
SQL Server
Integrations Supported
Apache Hive
Apache Spark
Greenplum
MySQL
Oracle Database
PostgreSQL
Presto
SAP HANA
SQL Server
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.33 per year
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
Upper Quadrant
Company Location
United States
Company Website
www.upperquadrant.com
Company Facts
Organization Name
Baidu AI Cloud
Date Founded
2000
Company Location
China
Company Website
intl.cloud.baidu.com/product/sugar.html
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
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
Dashboard
Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Reporting
Customizable Dashboard
Data Source Connectors
Drag & Drop
Drill Down
Email Reports
Financial Reports
Forecasting
Marketing Reports
OLAP
Report Export
Sales Reports
Scheduled / Automated Reports
Categories and Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery