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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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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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AbundantlyYou haven't collaborated with an organization as expansive as Abundantly, and your team hasn't encountered an employee recognition initiative like ours. Discover how we are transforming an industry that has remained stagnant, especially when fostering genuine connections is crucial now more than ever. By teaming up with us, you can empower your managers to implement a straightforward and sophisticated AI-driven solution that will not only engage your employees but also uplift them. When this approach is applied consistently and with sincerity, you'll find that your retention rates improve, keeping those who significantly contribute to your organization's success. This innovative strategy can redefine workplace culture and enhance overall productivity.
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Google Cloud BigQueryBigQuery serves as a serverless, multicloud data warehouse that simplifies the handling of diverse data types, allowing businesses to quickly extract significant insights. As an integral part of Google’s data cloud, it facilitates seamless data integration, cost-effective and secure scaling of analytics capabilities, and features built-in business intelligence for disseminating comprehensive data insights. With an easy-to-use SQL interface, it also supports the training and deployment of machine learning models, promoting data-driven decision-making throughout organizations. Its strong performance capabilities ensure that enterprises can manage escalating data volumes with ease, adapting to the demands of expanding businesses. Furthermore, Gemini within BigQuery introduces AI-driven tools that bolster collaboration and enhance productivity, offering features like code recommendations, visual data preparation, and smart suggestions designed to boost efficiency and reduce expenses. The platform provides a unified environment that includes SQL, a notebook, and a natural language-based canvas interface, making it accessible to data professionals across various skill sets. This integrated workspace not only streamlines the entire analytics process but also empowers teams to accelerate their workflows and improve overall effectiveness. Consequently, organizations can leverage these advanced tools to stay competitive in an ever-evolving data landscape.
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Epicor KineticEpicor Kinetic boasts a legacy of over five decades in manufacturing, establishing itself as a leader in delivering customized solutions on a global scale. At the heart of Epicor's strategy lies the cultivation of authentic, enduring partnerships, which ensures that its offerings are responsive to ever-evolving business requirements. Kinetic aims not only to meet existing needs but also to guide organizations towards the principles of Industry 4.0 and smarter manufacturing practices. This proactive stance is enhanced by Epicor's dedication to pioneering cloud solutions, characterized by unparalleled security, ease of use, and robust support. With an intuitive interface, Kinetic empowers everyday users to transform business data into actionable insights and impactful reports that enhance productivity. By incorporating cutting-edge AI, machine learning, and Internet of Things technologies, the user experience provided by Kinetic enables a seamless transition to modern manufacturing methodologies. While primarily focused on cloud-based solutions, Epicor Kinetic also accommodates on-premises and hybrid deployment options, ensuring flexibility for various operational needs. Kinetic not only propels customer ambitions forward by offering tools to enhance productivity, growth, and operational efficiency but also solidifies Epicor's role as an indispensable ally for the most vital enterprises worldwide. Consequently, partnering with Epicor translates into a strategic advantage in navigating the complexities of today's manufacturing landscape.
Integrations Supported
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Vertex AI
Integrations Supported
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Dataflow
Google Cloud Platform
Google Cloud Trace
Google Data Studio
Vertex AI
API Availability
Has API
API Availability
Has API
Pricing Information
$0.00045 per MB
Free Trial Offered?
Free Version
Pricing Information
€80/month
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
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/iot-core/
Company Facts
Organization Name
emteria GmbH
Date Founded
2017
Company Location
Germany
Company Website
emteria.com
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
Categories and Features
Fleet Management
Dispatch Management
Employee Management
Fuel Management
GPS Tracking
Incident Reporting
Inspection Management
Inventory Management
Maintenance Management
Mileage Tracking
Motor Pool
Routing
Tire Management
VIN Lookup
Work Order Management
Mobile Device Management (MDM)
Automatic Device Recognition
Data Management
Deployment Management
Inventory Management
Maintenance Utilities
Procurement Management
Remote Update / Installation
Software Management
Synchronization Management
Wireless Network Support