Listing Thumbnail

    Higson Studio

     Info
    Sold by: Decerto 
    Deployed on AWS
    AWS Free Tier
    Higson is a hyper-fast, user-friendly business rules engine.

    Overview

    Higson is a tool for managing business rules: the instructions that tell your enterprise software how your company runs, like which customers are eligible for which products, or how to dynamically price your services.

    Higson is a hyper-efficient tool for managing business rules that enables business experts to fine-tune these rules at run-time without relying on IT support.

    This makes it easy to respond to rapidly changing circumstances without having to wait for modifications in the software's code.

    Business rules can be quickly created or updated without having to go through lengthy and expensive development cycles.

    The configuration is organized in a tree of business objects with attributes. Each attribute represents a decision to be made. Higson is compatible with any tech stack, including Java, .Net, and Python.

    Learn all about Higson's features at https://www.higson.io/lp/business-rules-engine 

    Highlights

    • Ultimate performance: The fastest rules engine on the market
    • User-friendly: Changes are made using a web-based graphical user interface
    • Excel Import/Export: Business users can work in Excel

    Details

    Sold by

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    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

    This product is available free of charge. Free 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.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    AI Insights

     Info

    Dimensions summary

    Higson Studio is offered free of software charge, so you pay only for the AWS EC2 instance you run it on. Pricing is billed per hour and organized entirely around the instance type you select. Options span general-purpose families (t2, t3, t3a, m3, m4, m5, m5a, m5d, m5ad, m5n, m5dn, m5zn) and compute-optimized families (c3, c4, c5, c5a, c5d, c5n, c5ad). Within each family, sizes range from nano and micro up to 24xlarge and bare-metal instances. Larger sizes carry more CPU and memory, so your hourly cost scales with the capacity you choose.

    Top-of-mind questions for buyers

    The Higson Studio software carries no license charge. You pay only the AWS EC2 instance cost for the type you select, billed per hour of running time. Your total cost equals the EC2 hourly rate for your chosen instance family and size.
    Hourly software charges are zero for Higson Studio itself. EC2 charges apply per running instance-hour. A stopped instance stops accruing compute charges, though attached AWS storage may still incur separate fees. You are billed only while the instance runs.
    General-purpose families (t, m series) balance CPU and memory for mixed workloads. Compute-optimized families (c series) favor higher CPU per instance. Higson runs high-speed rule processing, with quotations executing in fractions of a millisecond, so compute-optimized types suit heavy rule-execution loads.
    www.decerto.com
    Helpful?

    Vendor refund policy

    No refunds

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    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

    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

    Added: - Domain definition changes shown in the snapshot im - Explicit search button in advanced search, with a confirmation before searching decision table matrix content and filter reset on entering the dashboard, - Data-collected dialog shown after a profiler run in test cases, - Server runtime information in monitoring system in - System CPU series in the monitoring CPU chart, - Auto-refresh of the monitoring view for current-da - Average call times in the profiler call tree and method list, - Value-source markers and element definition shortcext menu,

    Fixed: - Missing-rights names in decision table, function and flow import reports not matching the names shown in the interface, - Region attach and detach for parameters, functionsd with the Runtime cache, - Domain type collection deletions not applied on snapshot import, - Current session not reloaded after a snapshot impo - Profiler summary covering only part of the batch test scope, - Permissions not refreshed after license changes, runlock tabs, - higson-cli push failing with the default Studio integration token configuration, - Decision table matrix header misaligned with rows - Decimal comma handling in decision table list matcher values, - Unsaved changes warning shown for untouched decisi - JSON and structured result formatting in the test result view, - First element result and result element name in th - Grants not sorted alphabetically in the role edit dialog, - No-profile checkbox enabled without global permiss - View action shown for elements created in an inactive region version, - Profile add/edit row not fitting on screen, - Vertical spacing in the assign profile list, - Modification date column wrapping in history, - Diagnostic panel display details - flame graph tooltip, numeric column alignment, duration rounding and selected export scope highlight,

    Additional details

    Usage instructions

    A Postgres database with Higson-related tables is needed. They are automatically created during Higson Studio startup.

    detailed instructions on how to run Higson Studio in AWS can be found here: https://www.higson.io/tutorial/installing-higson-studio-through-aws 

    Resources

    Vendor resources

    Support

    Vendor support

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.