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One engine for SQL, models, AI and streams.

Gnok keeps analytics, machine learning and AI next to your data. Everything runs in SQL, on open Iceberg tables, under one set of permissions.
SQL and data

Standard SQL on Apache Iceberg.

Write the SQL you already know against tables stored in an open format. Results stream as Apache Arrow.
SQL reference →

  • Iceberg tables

    Create, load, query and evolve Iceberg tables. Snapshots and time travel come from the table format itself.

  • Transactions and procedures

    Multi-statement transactions, stored procedures and control flow for real workflows, with rollback when a step fails.

  • Load your files

    Upload files in Studio or bulk-load with COPY INTO, then query them like any other table.

  • Connect your tools

    Arrow Flight SQL, the PostgreSQL wire protocol, JDBC and a Python SDK. Contact us to enable client access for your organization.

Machine learning

Train and score models without leaving SQL.

CREATE MODEL trains on a query. The model becomes a function you call in any SELECT, so scoring happens where the data already is.
Machine learning tutorials →

  • Native models

    Linear and logistic regression, multinomial classification, decision trees, neural networks, K-means clustering, PCA and ARIMA forecasting.

  • Tuning and evaluation

    Search hyperparameters with ML.TUNE, evaluate on held-out data, and version every model you train.

  • Bring your own model

    Import ONNX models, or register a remote model that calls your own HTTPS endpoint.

  • Features and learning

    Feature groups with backfill, and online learning that keeps a model current as new rows arrive.

AI and search

Language models and retrieval, governed per organization.

AI features call a language model on your data, so your organization decides when they turn on, what they may do, and how much they may spend.
How AI Governance works →

  • AI functions

    Classify, extract, summarize, translate, mask and complete text in SQL, row by row or in batches.

  • Vector and text search

    Embed text, build vector indexes, and combine them with BM25 keyword search for hybrid retrieval and grounded answers.

  • Ask in plain language

    ASK answers a question from your tables; SUGGEST QUERIES proposes SQL you can inspect, and conversations keep context across questions.

  • AI Governance

    AI is off until an administrator sets a monthly token budget and approves a policy: provider, model, operations, and data egress and retention.

Streaming

Fresh data without a separate pipeline.

Streams land in the same tables you query, so analytics, models and dashboards see new data without an export step.
Streaming ingestion →

  • Stream ingestion

    Write events continuously into Iceberg tables, and query them like any other table.

  • Scoring on arrival

    Derived streams score each new row with a model as it lands, for example to flag anomalies.

  • Dynamic tables and tasks

    Keep derived tables within a freshness target, and schedule SQL to run on its own.

Gnok Studio

The workspace for all of it.

Studio is where your team signs in, works with data, and manages users, roles and AI Governance.
Explore Gnok Studio →

  • Worksheets

    A multi-statement SQL editor with per-statement results, query history, saved and shared queries.

  • Notebooks

    Python notebooks that run in isolated sandboxes next to your data.

  • Dashboards

    Build dashboards from SQL, and use AI to plan, question and explain them when your organization allows it.

  • Tutorials

    Seventeen guided tutorials that run end to end in a new organization.

See it on your own data.

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