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    Novelty Detector For Categorical Data

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    Easily embed real-time anomaly detection capabilities into your apps using thatDot Novelty Detector. Deployed as a container, this API scores the relative novelty of categorical data observations (strings, names, paths, etc.) to identify issues, problems and outliers-even in highly cardinal datasets.
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    Novelty Detector For Categorical Data

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    Overview

    Ingest any kind of categorical data through a REST API for a real-time score of its novelty. Immediately find anomalies that are hiding in a high-volume stream of data. Each observation is evaluated for novelty, using context to reducing false positives, and providing an explanation of what makes the observation so unusual.

    • Real-time ingestion of streaming or batch data-even combined batch and streaming.
    • Categorical data: strings, names, numbers, file paths, etc. No need to convert to numbers.
    • Get more than just the anomaly score, get an explanantion why it's anomalous!
    • Visualize your dataset to understand common trends and outliers.
    • Great for small data of dozens of observatons, all the way up to large data streams in the trillions.
    • Run many different anomaly detection streams through the same container, each separated into their own context.
    • Deployed as a container for easy integration into applications.
    • Choose how sensitive the anomaly detection should be using well-distributed scores.
    • Simple operation and management.
    • Complete and interactive API documentation is included in the container.

    Turn high-volume data into high-value data in real-time with thatDot Streaming Anomaly Detector.

    Highlights

    • An API for Real-time Novelty Detection on Non-Numeric Data
    • Contextual Anomaly Detection to Dramatically Reduce False Positives
    • Each API call returns rich details about your observation: novelty score, probability, Information Content, and more. Beyond just a score, you can understand WHY the observation is so unusual.

    Details

    Delivery method

    Delivery option
    thatDot Novelty

    Latest version

    Operating system
    Linux

    Pricing

    Novelty Detector For Categorical Data

     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.

    Usage costs (6)

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    Dimension
    Cost/unit
    Observations up to 100,000
    $0.00
    Observations 100,001 - 1,000,000 (per 100K observations)
    $150.00
    Observations 1,000,001 - 2,000,000 (per 100K observations)
    $125.00
    Observations 2,000,001 - 5,000,000 (per 100K observations)
    $100.00
    Observations 5,000,001 - 10,000,000 (per 100K observations)
    $60.00
    Observations 10,000,001+ (per 100K observations)
    $25.00

    Vendor refund policy

    Refunds are not supported, but you can cancel at any time.

    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

     Info

    Delivery details

    thatDot Novelty

    Supported services: Learn more 
    • Amazon ECS
    • Amazon EKS
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    Release Novelty 0.13.5

    Enhancements

    • Normalize logging and error messages which timeout for ExactlyOnceAsks
    • Add timers for node sleeps and node wakes
    • Standardize logging framework to slf4j/logback

    Bugfixes

    • Fix "Promise already completed" warning that could occur when sending [ask] messages
    • Fix rare race condition in node messaging
    • Account for node lifecycle in node size histograms
    • Fix some scenarios where ingest status displays the wrong value
    • Fix NullPointerException that could occur when logging some messages

    Novelty Bugfixes

    • Make endpoints that rely on app data unavailable until the app is loaded

    Updates

    • AWS SDK to 2.26.31
    • cassandra to 4.18.1
    • circe-yaml to 0.16.0
    • circe to 3.9.8
    • commons-compress to 1.27.1
    • dropwizard metrics to 4.2.27
    • flatbuffers-java to 24.3.25
    • guava to 33.3.0-jre
    • kafka-clients to 3.8.0
    • logback-classic to 1.5.7
    • rocksdbjni to 9.0.0
    • schema-registry-serde to 1.1.20
    • snappy-java to 1.1.10.6

    Novelty Updates

    • proguard-base to 7.5.0

    Additional details

    Usage instructions

    For overview and documentation see: https://docs.thatdot.com/novelty/getting-started/novelty-main-concepts.html 

    For complete instructions on setting up the container in either ECS or EKS, please view the: Quick Start: https://docs.thatdot.com/novelty/using-novelty/aws-quick-start/aws-quickstart.html  Configuration Guide: https://docs.thatdot.com/novelty/using-novelty/aws-quick-start/aws-configuration.html 

    Once the container is set up, navigate to the following URL for interactive API documentation: http://:8080/docs

    Resources

    Support

    Vendor support

    Business hours support (USA) 10 AM - 9 PM EST

    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.

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    Ratings and reviews

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    1 AWS reviews
    Mary

    very effective for a new class of data

    Reviewed on Nov 12, 2020
    Purchase verified by AWS

    I used the CloudFormation launch button on the website and everything was up and running in about 5 minutes. API usage is very straightforward, and the built-in docs help a lot.

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