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Description
AWS IoT Core enables seamless connectivity between IoT devices and the AWS cloud, eliminating the need for server provisioning or management. Capable of accommodating billions of devices and handling trillions of messages, it ensures reliable and secure processing and routing of communications to AWS endpoints and other devices. This service empowers applications to continuously monitor and interact with all connected devices, maintaining functionality even during offline periods. Furthermore, AWS IoT Core simplifies the integration of various AWS and Amazon services, such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, facilitating the development of IoT applications that collect, process, analyze, and respond to data from connected devices without the burden of infrastructure management. By utilizing AWS IoT Core, you can effortlessly connect an unlimited number of devices to the cloud and facilitate communication among them, streamlining your IoT solutions. This capability significantly enhances the efficiency and scalability of your IoT initiatives.
Description
DynoTable serves as a local-first graphical interface for Amazon DynamoDB, compatible with macOS (Apple Silicon), Windows, and Linux (.deb/.rpm). This desktop client offers an SQL Workbench that executes real SELECT queries incorporating JOINs, GROUP BY, and various aggregations such as SUM, AVG, and COUNT DISTINCT while managing live data. Before executing any query, DynoTable provides a preview of its execution plan, detailing whether it will utilize Scan or Query, the specific index involved, and an estimate of Read Capacity Units (RCU), allowing users to assess potential costs upfront. Its Smart Tables feature enables seamless joining of tables based on primary keys or global secondary indexes, with real-time recomputation that eliminates the need for schema migration or ETL processes. Additionally, a built-in AI agent operates using your Amazon Bedrock keys, analyzing your schema, drafting queries, and suggesting write operations, all while ensuring that no prompt, schema, or row data is transmitted outside your AWS account. Connectivity with tools like Claude Code, Cursor, and Codex is facilitated through MCP, ensuring that external agents do not perform direct writes; instead, all changes are funneled through a staging window for user review and approval prior to committing. DynoTable communicates directly with AWS using your own credentials, thereby adhering strictly to the permissions outlined in your IAM policy, and is fully compatible with AWS SSO, aws-vault, and DynamoDB Local environments. This makes DynoTable an efficient and secure choice for managing DynamoDB databases across multiple operating systems.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon DynamoDB
AWS App Mesh
AWS CloudTrail
AWS IoT
AWS IoT ExpressLink
AWS Lambda
Amazon CloudWatch
Amazon Kinesis
Amazon QuickSight
Amazon S3
Integrations
Amazon DynamoDB
AWS App Mesh
AWS CloudTrail
AWS IoT
AWS IoT ExpressLink
AWS Lambda
Amazon CloudWatch
Amazon Kinesis
Amazon QuickSight
Amazon S3
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$9/seat/month billed annually
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/iot-core/
Vendor Details
Company Name
DynoTable
Founded
2026
Country
Spain
Website
dynotable.com
Product 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
Product Features
Alternatives
Alternatives
No Alternatives