Ecosystem

Organizations powered by Apache Ossie (incubating)

Alation
Anomalo
App Orchid
Ataccama
Atlan
AtScale
Bigeye
BlackRock
Blue Yonder
CARTO
Cloudera
Coalesce
Collate
Collibra
Cogniti
Count
Credible
Cube
Dataiku
Databricks

Databricks is committed to Apache Ossie (Incubating)'s vision of portable, vendor-agnostic business semantics. Based on its experience building metric views, Databricks believes open standards such as Ossie and SQL should be the common language for AI and BI.

  • Metric view to Ossie converter Export a Databricks metric view to an Ossie model. Maintained in the Ossie repository. View on GitHub →
  • Ossie to metric view converter Import an Ossie model as a Databricks metric view. Maintained in the Ossie repository. View on GitHub →
  • Metric language working group Databricks engineers help the working group define a portable expression language and shared query semantics for Ossie-compliant models. Documentation →
DataHub
Datus

Datus builds dosi, an Apache Ossie-native semantic engine for metrics, and Datus Agent, an open-source data engineering agent that both generates and consumes Ossie semantic models.

  • dosi Any database. Any agent. An Apache Ossie-native semantic layer for metrics. Learn more →
  • dosi Quickstart Get started building and querying an Apache Ossie semantic layer with dosi. Read the guide →
  • Datus Agent An open-source data engineering agent that builds Apache Ossie YAML from your existing SQL, dashboards, ETL pipelines and natural language. View on GitHub →
Denodo
dbt Labs
Dremio
Domo
Elementum AI
Entropy Data
Exmergo

Exmergo's Dex analytics engineering toolkit helps AI agents read, author, and maintain Apache Ossie (incubating) semantic models directly in a repository.

  • Author Ossie Let your agent author Ossie YAML files. View on GitHub →
  • Ossie Lifecycle Let your agent explore, transform and maintain Ossie semantic specifications See Details →
Firebolt
Golden Analytics

Golden Analytics is an AI-native BI tool that reads Apache Ossie semantic models as the shared source of business meaning. Upload an Ossie model or pull one from your warehouse, and Golden uses its datasets, metrics and relationships to power AI-assisted analysis, dashboards and data stories.

  • Ossie model import Upload an Ossie YAML model. Golden validates it, maps it onto your connected tables, and applies its metrics and field definitions to your datasets. Learn more →
  • Warehouse semantics to Ossie Pull a Snowflake semantic view or Databricks metric view and get it back as an editable Ossie YAML file you can keep. Learn more →
GoodData
Gravity
Hex
Holistics

Holistics supports Apache Ossie (Incubating) and its vendor-neutral specification. Its semantic layer is written as code in AML, covering datasets, models, dimensions, measures and relationships, and converts both ways with Ossie so a model can move between the two. Anything the other side cannot hold is reported as a structured issue rather than dropped silently.

  • Holistics AML converter The bidirectional Ossie converter, maintained in the Ossie repository. View on GitHub →
Honeydew

Honeydew actively supports Apache Ossie (Incubating) and its open, vendor-neutral specification. Its semantic layer is YAML-based and git-native, and converts bidirectionally with Ossie so metrics, attributes and relationships stay portable across BI tools, AI agents and warehouses.

  • Honeydew Converter The bidirectional Ossie converter, maintained in the Ossie repository. View on GitHub →
Informatica
Instacart
Iqea Technologies Inc.

Iqea builds the Apache Ossie (Incubating) reference implementation for DuckDB. It reads Ossie semantic models in YAML or JSON and answers semantic queries directly against tables in DuckDB, planning the joins and deriving the grain from declared keys before emitting SQL that DuckDB executes, rather than converting models into another vendor's format.

  • duckdb-ossie A DuckDB community extension that executes Ossie semantic models. See Details →
  • Source and documentation The compiler, its conformance fixtures, and the limitations it documents. View on GitHub →
  • Serve a model over MCP Publish metrics and dimensions so an AI agent can discover names and query them. View on GitHub →
JetBrains
Kyvos
Lightdash
Meta Analysis
Metabase
Microsoft
Mistral AI
NVIDIA
Omni
Oracle
Preset
Produktiv

Produktiv builds Kynexa, an Enterprise AI Control Plane that governs the data, context, tools, agents and memory that enterprise AI relies on. Kynexa supports Apache Ossie (Incubating) so that the business definitions governing AI agents stay open, portable and vendor-neutral.

  • Ossie semantic models as governed context Bring Ossie models into Kynexa so their datasets, metrics and relationships become governed business context that AI agents can discover and use under policy. Learn more →
  • Policy-checked access for AI agents Kynexa checks identity, purpose and policy before an agent can find or query Ossie-defined metrics, and keeps an audit record of each decision. Learn more →
PuppyGraph
Qlik
RelationalAI
SAAL
Saiku

Saiku is an open-source semantic layer that lets BI users, Excel, and AI agents query Ossie semantic models without writing SQL.

  • Ossie AI Query API Typed REST and MCP surface to list, describe, and query Ossie models, with self-correcting validation errors so agents never write SQL. Documentation →
  • Natural-language ask over Ossie Ask a question in plain language and Saiku composes a governed Ossie query the model cannot turn into free-form SQL. Documentation →
  • Saiku on GitHub Open-source Mondrian and Calcite semantic layer with dashboards, Excel and XMLA, and MCP for agents. View on GitHub →
Salesforce
Select Star
semantido

semantido is an open-source Python semantic layer for SQLAlchemy. Semantic metadata is authored next to the models it describes, and exported to Apache Ossie YAML deterministically.

  • Export to Ossie Convert a semantido semantic layer to Ossie YAML with to_ossie_yaml(), including the concept registry as vendor extensions. The authoring surface is stable and it tracks the Ossie spec. Documentation →
  • Concept registry and lint A concept tier above the physical schema, with static checks that reject grain-mismatched and homonym-conflating joins before they reach an agent. Documentation →
  • semantido on GitHub Open-source semantic layer for the agentic analytics era. Apache-2.0 licensed. View on GitHub →
ServiceNow
Sigma
Snowflake

Snowflake is committed to keeping Semantic Views and other semantic context interoperable with Apache Ossie.

  • Export to Ossie Convert any Snowflake Semantic View to an Ossie YAML file. Documentation →
  • Import from Ossie Create a Snowflake Semantic View from an Ossie YAML file. Documentation →
  • Snowflake Converter Programmatic conversion tooling maintained in the Ossie repository. View on GitHub →
Starburst Data
Strategy

Strategy's Mosaic semantic layer imports and exports Apache Ossie (Incubating) YAML, keeping semantic models portable across Ossie-compatible tools.

  • Import from Ossie Build a Mosaic semantic model from an Ossie YAML file, mapping data sources, namespaces, datasets, attributes and metrics automatically. Documentation →
  • Export to Ossie Export an existing Mosaic model back to an Ossie YAML file for use in other Ossie-compatible tools. Documentation →
Sundial
Tabular Editor
ThoughtSpot
Veezoo

Veezoo is an agentic analytics solution engineered for trust. At its core is a knowledge graph semantic layer, and Veezoo supports Apache Ossie (Incubating) natively as a source for it.

  • Native Ossie import Ossie documents import directly into the knowledge graph: a class per entity with its dimensions, the joins between entities, and a measure per metric.
  • Veezoo & Apache Ossie How Veezoo imports Ossie semantic models into its Knowledge Graph and keeps them in sync. Learn more →
WingArc1st
WisdomAI
Witboost

Witboost is the operating layer for enterprise data product management and governance. It is technology-agnostic and extensible through templates, including one for Apache Ossie.

  • Ossie Semantic Model - Witboost Template The Ossie Semantic Model template produces a fully Apache Ossie-compliant semantic model descriptor (datasets, fields, relationships and metrics) so that BI tools, AI agents and conversational analytics share one consistent, vendor-neutral source of truth for business definitions. Documentation →
XSOLCORP KOREA
Zeta Global

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Ecosystem