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    intdash 202303 (2023R1L) All-in-One

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    Sold by: aptpod 
    Deployed on AWS
    AWS Free Tier
    "intdash" is a data streaming pipeline for the IoT industry to build up a real-time bidirectional fusion data stream and scalable data processing environment. With intdash, intelligent devices such as vehicles and robots can be easily interconnected.

    Overview

    "intdash" is a data streaming pipeline for the IoT industry to build up a real-time bidirectional fusion data stream and scalable data processing environment. With intdash, intelligent devices such as vehicles and robots can be easily interconnected. intdash All in One AMI is an AMI that includes all of the intdash server environment. With this AMI, you can quickly and easily build an IoT platform.

    The web application "Visual M2M Data Visualizer" included in the AMI enables beautiful visualization of IoT data. Connect your IoT devices to the cloud and visualize the data with intdash and Visual M2M Data Visualizer.

    NOTE: We provide the Private Offers as well. If you are interested in custom period and price of this product, please contact us via e-mail. NOTE: If you are subscribing previous version of the AMI, you can update the software in the instance to the latest version while keeping the instance you are using.

    Highlights

    • A message broker that transfers large amounts of time series data efficiently and with low latency. Aptpod's proprietary protocol enables low latency transmission of various IoT data.
    • An API that automatically saves the transferred data. The data flowing through the broker is automatically stored in the cloud. The stored data can be accessed with the flexible RESTful API.
    • Customizable visualization dashboards on your browser. You can easily visualize data stored in the cloud. Build your own dashboard and analyze the data from various perspectives.

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux Amazon Linux 2

    Deployed on AWS

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    Pricing

    intdash 202303 (2023R1L) All-in-One

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (402)

     Info
    • ...
    Dimension
    Cost/hour
    m5.large
    Recommended
    $12.15
    t3.micro
    AWS Free Tier
    $12.15
    r6i.metal
    $208.25
    c5ad.24xlarge
    $20.00
    c7i.4xlarge
    $49.31
    c6in.16xlarge
    $128.56
    m7a.48xlarge
    $276.30
    m6a.16xlarge
    $128.56
    c5ad.4xlarge
    $20.00
    c7i.24xlarge
    $170.40

    Vendor refund policy

    no refunds

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    Software updates

    Additional details

    Usage instructions

    1. Create an A/AAAA record that points to your EC2 instance. Obtain a certificate for your domain. You also can use "Let's Encrypt".
    2. SSH to your EC2 using the username 'ec2-user' and configure applications to suit your environment.
    3. Connect Web UI using your domain. The user is intdash, password is instance id of your ec2 instance then change initial passwords.

    See the detailed instructions at https://docs.intdash.jp/manual/aws-intdash-server-setup/ed8/ja/aws-intdash-server-setup-ja.pdf  .

    Resources

    Vendor resources

    Support

    Vendor support

    Please find the all documentations at https://www.aptpod.co.jp/docs/  . Please contact us via e-mail for more questions. product-support@aptpod.co.jp 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    50
    In Industrial IoT
    Top
    50
    In Industrial IoT, Device Connectivity
    Top
    10
    In Master Data Management

    Overview

     Info
    AI generated from product descriptions
    Data Streaming Protocol
    Proprietary low-latency protocol for efficient transmission of time series IoT data across devices
    Data Storage Mechanism
    Automatic cloud storage system with flexible RESTful API for accessing transferred data
    Visualization Dashboard
    Browser-based customizable dashboard for real-time data visualization and analysis
    Device Interconnectivity
    Bidirectional data fusion pipeline enabling seamless connection between intelligent IoT devices like vehicles and robots
    Message Brokering
    High-performance message broker capable of transferring large volumes of time series data with minimal transmission latency
    Message Broker Protocol
    Open-source MQTT broker supporting MQTT 5.0 and 3.x standards with full protocol compliance
    Scalability Architecture
    Capable of scaling to 100 million concurrent MQTT connections using a single cluster configuration
    Performance Capabilities
    Processes millions of MQTT messages per second with sub-millisecond latency in message delivery
    Distributed System Design
    Masterless distributed architecture enabling high availability and horizontal scalability
    Runtime Environment
    Soft real-time runtime engine optimized for high-performance event streaming and IoT device connectivity
    Time Series Data Management
    High-performance database engine optimized for storing and processing time-stamped data points
    Real-Time Data Processing
    Powerful API and toolset designed for handling real-time application data streams
    Open Source Architecture
    Community-driven platform with extensible and customizable time series data infrastructure
    Data Querying Capabilities
    Integrated toolkit supporting complex queries, tasks, and data analysis operations

    Contract

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    Standard contract

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