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    Vantiq Developer Edition

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    Sold by: Vantiq 
    Deployed on AWS
    The patented Vantiq platform is built to handle a new era of enterprise applications where sensors, AI and business systems all work together in cohesive synergy and in real-time to achieve smarter outcomes. Vantiq automates Generative AI, empowering organizations to harness the full potential of intelligent automation for enhanced efficiency, agility and innovation.

    Overview

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    The VANTIQ Developer Edition is a free version of the VANTIQ platform available on the AWS Marketplace. It provides full access to the core features: Experience real-time data processing; event-driven architecture; integration of Generative AI (AWS Bedrock and SageMaker) into real-time applications; integrate RAG using the built-in Vector Database; visual development environment -- All within the AWS cloud infrastructure.

    The VANTIQ Developer Edition on AWS Marketplace is a golden opportunity for developers to dive into the world of real-time, event-driven application development. With zero costs and a plethora of resources at their fingertips, developers can innovate, learn, and prepare for the demands of the modern digital world. Whether you're a seasoned developer or just starting out, the VANTIQ Developer Edition is your gateway to the future of application development.

    Highlights

    • Vantiq excels in handling real-time data streams and event processing. It allows developers to build applications that can react instantly to events, and complex scenarios. Uses a service-based approach, that supports event-driven asynchronous interfaces and synchronous interfaces. Support for in-memory state for managing high-performance complex event interactions. The Low-code IDE allows developers to design, and develop with minimal coding (90% graphical), speeding up the development process.
    • Vantiq automatically prompts Generative AI to amplify contextual insights in real-time situations. Enables dynamic communication between Machine-to-Machine and Machine-to-Human interactions and orchestrates across multiple LLMs with patented voting/consensus algorithms. Empowers real-time decision-making and business automation.
    • Integrate and orchestrate AI (Generative AI, Computer Vision, Machine Learning), IoT Data, and existing systems. Out-of-the-box support for AWS Bedrock and SageMaker LLMs as well as OpenAI and other LLMs. Inbuilt support for RAG using a Vector Database. Supports 160+ integrations and provides SDK and API to allow developers to provide custom integrations. Ease of integration with external Rest-based services.

    Details

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    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 5.10

    Deployed on AWS

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    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Vantiq Developer Edition

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    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 (4)

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    Dimension
    Cost/hour
    m6i.xlarge
    Recommended
    $0.00
    m5.large
    $0.00
    m5.xlarge
    $0.00
    m6i.large
    $0.00

    Vendor refund policy

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    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) .

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    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

    1.42 Release Notes

    Server Enhancements

    VAIL Invocation of private procedures from procedures of differing state access modifiers is now supported. This may require the use of an explicit partition key. The Conversation Memory service emits events based on conversation state changes. It also supports per-conversation properties. The default execution time quota value has been changed from 2 minutes to 2 hours.

    Services The Collaboration Management Procedures have been updated/simplified. If your service code invoked these directly, then you may need to update it based on these changes. Please see the referenced documentation for details. The service builder now supports generation of Entity Roles Procedures for collaboration management services. Agents have the ability to communicate with users either as part of an active conversation or via notifications.

    GenAI Builder The AI Guardrail components GuardrailsAI, GuardrailsAIServer, and NeMoGuardrails have been added.

    Assemblies Assembly configurations may now be customized using the customGenerationProcedure field. See here for more details. GenAI Procedures in visible Services are now also visible. GenAI Components may now be made visible in Assemblies.

    Other Semantic Indexes no longer return their entire entries list by default on SELECTs. You must now either explicitly include the "entries" property or do a SELECT on ArsSemanticIndexEntry with the qual {"indexName": }. See here for more information on Semantic Index Entries. Natural Language Processing support has been deprecated. The functionality is now available as an assembly, com.vantiq.nlp.NaturalLanguageProcessing in the component public catalog. Existing NLP collaborations and apps will continue to work. The Track Activity Pattern's destination and waypoint fields can now be specified using VAIL. You can now retrieve the contents of entries using io.vantiq.ai.SemanticSearch.retrieveChunks().

    UI Enhancements

    General Added a Public Catalog discovery UI to discover Client Components and themes, App Components, and GenAI Components. Users may install Client Components and themes. See the Client Builder section below for more details. Users may install publicly available App Components using the Discover button found next to the Visual Event Handler Components section title. Users may install publicly available GenAI Components using the Discover button found next to the GenAI Builder's User Defined section title. These Discover buttons will only appear if there are the corresponding resources available in any Public Catalog available to the user's current Namespace. Group resources by package in the resource explorer. Add search functionality to many resource pickers. Add deployment order support to Project partitions. Partitions are deployed in ascending order. Partitions with the same deployOrder value are deployed simultaneously. Document uploads now show a floating progress dialog and don't suspend use of the IDE. During Namespace changes or browser refreshes, there is more text feedback in the IDE Navigation Bar. Assemblies may now be converted back into Projects using the Projects>Convert to Project menu item. The Threshold task in Visual Event Handlers now has AI Configuration Assistant support. When testing Procedures you now have the option of executing them in "Streaming" mode. The "Show Documents" list now highlights those Documents which belong to the current Project. There is now a spell checker running when editing text Documents.

    Client Builder Client theming capabilities have been expanded: Client widgets have more consistent application of theming properties. The number of theme properties has been greatly expanded. There are two built-in themes, Light and Dark, with Light being the default. Users may add additional themes from Public Catalogs (see below) or save their own themes. Previously created Clients will usually be assigned a Custom Theme unless their theme properties happen to match either the Light or Dark themes. Users may easily switch to the Light or Dark theme to update older Clients. Previously created Clients may show some minor changes in appearance on load, both because of widget theme changes and changes to the meaning of "default" style. There is a shortcut Theme button in the Client Builder toolbar to take the user directly to the Theme tab of the Client Properties dialog. Added a Public Catalog discovery UI to discover Client Components and themes. Users may install publicly available Client Components using the Discover button found next to the Client Builder's Components section title. Currently, there is only one Component, Statistics. See below for details. Users may install publicly available Client themes using the Discover button found next to the theme selection pull-down in the Client Properties dialog. There have been many enhancements to the Conversation Widget: Support for both "Gen AI" and "Standard" Procedures Support for "streaming" responses when using a Procedure There are now read/write "conversationId" and "conversationName" properties that can be used programmatically at runtime to change which particular conversation will appear. There is also a new method client.setCollaborationContext() which can be used to change which Collaboration is in use. Support for the new "Callback" feature that allows followup questions to be added to the Conversation at runtime by external callers Support for an "On Filter Conversation Message" event that is fired when each new message arrives into the Conversation. The event handler can modify the incoming message or hide it altogether. Support for adding "Action Buttons" at the bottom of the conversation flow as well as buttons associated with each user or system message. The new "On Action Button" event is fired when the buttons are clicked. The user and system buttons can either appear when the mouse hovers over the message (the default) or "inline" with the message. Support for control over which "message types" will be shown (By default "human", "ai" and "chat" types are shown and "system", "function" and "tool" types are hidden.) More control over the styling of the widget. Added a Segmented widget in the Data Display section. It behaves much like the iOS Segmented Control. Added a Statistics Client Component which has title, value, and delta fields, all programmatically set. Users may install this Client Component using the Discover button found next to the Components section title. The Calendar widget now supports On Select events. There have been significant enhancements to the "Context Menu"; you now have greater control over the icon, color and position. The InputString, InputInteger, InputReal and InputDecimal widgets now support an "onEnterKey" event. The widget context menu in the Client Builder now allows you to "enclose" the widget in various types of Layout widgets.

    Additional details

    Usage instructions

    To login into the platform for the first time go to https://<EC2_Instance_Public_DNS>

    To SSH to your ec2 instance use the ec2-user rather than root.

    The initial startup may take ~5 minutes as the system needs to configure itself. If you get a 502 - Bad Gateway - error from nginx on the initial startup them retry in a few minutes.

    The initial configuration uses a self-signed certificate. It is possible to install a Lets Encrypt certificate, please see below for access to detailed instructions on using Lets Encrypt.

    The initial login username and password are 'system' and 'fxtrt$1492'. Please change the system password as soon as possible. Instructions for changing the system password, setting up an organization and developer namespaces can either be found in the documentation - https://dev.vantiq.com/docs/system/vantiqedge/#setting-up-vantiq-edge   or in the Knowledge Bot that should appear at the bottom of the browser window once you have logged in.

    For details about setting up a Lets Encrypt HTTPS Certificate, please review the /opt/vantiq/readme.txt file which contains detailed instructions for various maintenance and configuration tasks.

    Support

    Vendor support

    Support is through the Vantiq Community Portal and Knowledge Base which is publicly accessible -

    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.

    Customer reviews

    Ratings and reviews

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    2 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Kai C.

    Vantiq enhanced our development efficiency and made our deployment process more straightforward.

    Reviewed on Feb 07, 2025
    Review provided by G2
    What do you like best about the product?
    We have used Vantiq for several projects and have been extremely impressed with how versatile, seamless, and reliable it is.

    Vantiq’s extension sources, client builder, and configurable event-based services have allowed us to build our application entirely within a single environment, simplifying development. Being able to deploy both on edge and on cloud has also proven invaluable in enabling us to fit a wider variety of use cases.

    The modularity of services, procedures, and activity patterns has made the development process for new features much more straightforward, while also allowing for as much complexity as we need.

    Vantiq’s support team is consistent and helpful, answering our questions and resolving our issues quickly and clearly. In fact, we often find that Vantiq has already implemented a solution to the problem we have. Periodic releases of Vantiq often include useful features, as well as bug fixes and other improvements.
    What do you dislike about the product?
    We have found that the Vantiq team has been very receptive to our feedback and feature ideas, often implementing solutions to the problems we have.


    Our current project makes use of extension sources, and while we have the capability to create our own or take advantage of custom workarounds, having access to a wider variety of extension sources would cut down on development time significantly.


    Vantiq also offers training courses, which are great for learning the platform; however, we've discovered that additional project work is necessary to fully understand the platform's numerous features and intricacies.
    What problems is the product solving and how is that benefiting you?
    We use Vantiq in multiple projects, taking advantage of the IOT connections and deployment options.
    Mark S.

    Vantiq saved us time and resources in getting our solution out to market

    Reviewed on May 22, 2021
    Review provided by G2
    What do you like best about the product?
    It does everything in one platform without learning a different cloud solution for additional capabilities required in your application. Then, having to stay up on all of their changes and new features. Deployment is incredible from edge to cloud and more.

    We needed to build a real-time streaming application that required:
    - Persistent Storage
    - Stateless and Stateful Services
    - Streaming of data in/out of the application at high rates
    - Complex event processing of data streams
    - API Management
    - Web and Mobile client development
    - Support of a distributed and federated deployment environment
    - Highly secure environment
    - Audit and Reporting

    Probably more, though many solutions can do one or maybe two of these, it requires us to have many "experts" on each, which is time and money.

    Vantiq provides us support for all our essential features in each of these products in one platform. Additionally, we can quickly build and reuse the functionality in the cloud or at the edge - not requiring any additional development—one codebase.
    What do you dislike about the product?
    It could use more out-of-the-box integrations to existing IoT devices and applications. You can build custom connectors very quickly, but it would be better if Vantiq created and maintained them.

    Vantiq does take time to become proficient - though it is offering a lot of features and would take a lot of time to investigate and learn each of the individual solutions as well. One could always use more examples and recommendations :).

    Vantiq offers both public and private cloud offerings. You can use the public cloud for smaller, simpler applications, but if you require more resources, I would recommend using their private cloud.
    What problems is the product solving and how is that benefiting you?
    We needed to build a highly scalable solution in the cloud to manage large amounts of transactions. After developing it with Azure experts, the solution didn't scale, and we lost a year. Vantiq supported us through the process and created a scalable prototype in a month. Additionally, we could add new features much quicker and ultimately use fewer resources.
    Recommendations to others considering the product:
    If you have a good use case that you need to get out quickly - have their experts work with your development team, you'll be amazed at the speed of getting a prototype up and running.
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