Streaming frequency and distinct-count estimation designed for large streams with a small memory footprint.
Discuss StreamForgeTHE PRODUCT, IN PRACTICE
When an application needs to ask how often values occur or how many distinct values it has seen, retaining a full history may be unnecessary or too costly. StreamForge maintains compact statistical summaries for supported streams and exposes the error conditions that accompany those estimates. It is a counting component, not a substitute for every event-storage or analytical function.
Keeping all elements solely to answer counting questions can be an inefficient fit for the task.
StreamForge uses a compact summary of the supported stream to answer frequency and distinct-count questions without storing the full event history.
A number presented without its uncertainty can be mistaken for an exact count.
The product’s estimates are evaluated with the error assumptions and checks applicable to the selected counting operation.
The team needs to compare estimated counts with known values on a representative qualification workload.
The supplied checking path allows the relevant estimates and bounds to be assessed against exact counts where those are retained for evaluation.
The product scope below describes the capability and outputs to confirm for your release. Custom integration, operated delivery and additional engineering are separately agreed.
Answers to supported “how often” queries over the stream.
A compact estimate of the number of distinct observed values.
The stream representation used by the supported estimation workflow.
The associated bound and reference-count checks for qualification.
StreamForge is fully available with CLI, MCP and headless access. Use the interface that fits your terminal, your agents or your automated workflow.
Run the product from a terminal or script, alongside the tools your team already uses.
Get CLI accessConnect MCP-compatible clients and agents to the product’s exposed capabilities.
Get MCP accessOperate without a graphical interface in unattended, scheduled or pipeline-driven work.
Set up headless accessProduct-specific inputs, hardware requirements and result guarantees still apply. An access mode does not change your license or deployment scope.
Explore all product interfacesA team needs counts and cardinality summaries without turning the entire stream into an in-memory dataset.
Illustrative use of the supported scope, not a customer case study or a measured result.Define the supported stream and required counting queries.
Process the stream within the summary-memory budget.
Compare qualification estimates with exact reference counts and accepted error conditions.
Streaming analytics, telemetry and data-engineering teams with frequency or cardinality workloads.
CLI, MCP and headless access are all available. Run from a terminal or script, connect an MCP-compatible client, or use the product without a graphical interface. Choose the mode during onboarding and receive its setup instructions. Runtime requirements and supported operations remain product-specific.
Frequency and distinct-count estimates have different statistical properties. They are not interchangeable exact counts. The reported 2.05-billion-element run and 5,000-key check belong to the reported benchmark, not a universal throughput guarantee.
The agreed StreamForge release, its supported interfaces and outputs, the applicable checks and the support stated in your order. The plan defines users, workflow, environment and capacity. Source-code transfer, unrestricted redistribution and bespoke engineering are not automatically included.
Request a scoped engineering or operated-service proposal. It identifies what our team delivers, where the workload runs, infrastructure costs, acceptance requirements and ongoing support. Your software subscription alone does not activate a hosted runtime.
Explore engineeringCompany-reported. The reported benchmark processed 2.05 billion elements on an A10G. The reported frequency check compared 5,000 keys with exact counts; none undercounted and all stayed within the stated bound. That is not a validation of every distinct-count estimate.
These descriptions come from the supplied product and campaign material. Website checks are not an independent rerun of the engine. Qualification identifies the actual release, workload and available artifacts.
Read the evidence summaryCustomer-hosted access and a service operated by SpinForge are different scopes. Confirm the release, deployment and included support before activation.
Plans & deliveryBring a representative workload and the result your team needs. We’ll define the product, deployment and engineering scope around that task.
Activate this capability inside a qualified checked decisions workflow. Compatible methods and required shared checking are included once within that workflow; the product remains independently purchasable.
Capacity, release, environment, result contract and operating responsibilities are specified before activation. Choosing an additional method is not permission to add an unrelated workload or unqualified deployment.
Explore Checked Decisions Choose workflow capacityCommission the model, integration and acceptance work needed for your task. Existing products stay independently available.
Use the software directly or ask us to scope the implementation.
One capability. A connected workflow.
A team to put it into practice.